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Sample records for 7-mer knowledge-based potential

  1. A 7-mer knowledge-based potential for detecting native protein structures from decoys

    Røgen, Peter

    Abstract: The prediction of proteins 3d-structure from its sequence of amino acids, remains a key and very difficult problem in Computational Structural Biology. Often the prediction is divided into two parts: 1) a sampling of decoy structures and 2) the evaluation of an energy function that need......, Geometriae Dedicata, 134(1), 91-107, 2008....

  2. Tri-residue contact potential: a new knowledge-based energetic method

    2002-01-01

    A new knowledge-based potential method, the tri-residue contact potential (TRICP), is proposed. This approach resembles the idea of environment-dependent residue contact energy reported by Zhang et al. We statistically study the 3-dimensional structure of proteins and calculate the knowledge-based contact potential of tri-residue clusters. These contact potentials are carefully compared to pairwise contact potentials (PCP). TRICP helps us to systematically examine the impact on the interactions of residue pairs by the third residue. Moreover, TRICP provides us with many clues to identify high frequency characteristic structural units in protein structures.

  3. Novel knowledge-based mean force potential at the profile level

    Wang Xiaolong

    2006-06-01

    Full Text Available Abstract Background The development and testing of functions for the modeling of protein energetics is an important part of current research aimed at understanding protein structure and function. Knowledge-based mean force potentials are derived from statistical analyses of interacting groups in experimentally determined protein structures. Current knowledge-based mean force potentials are developed at the atom or amino acid level. The evolutionary information contained in the profiles is not investigated. Based on these observations, a class of novel knowledge-based mean force potentials at the profile level has been presented, which uses the evolutionary information of profiles for developing more powerful statistical potentials. Results The frequency profiles are directly calculated from the multiple sequence alignments outputted by PSI-BLAST and converted into binary profiles with a probability threshold. As a result, the protein sequences are represented as sequences of binary profiles rather than sequences of amino acids. Similar to the knowledge-based potentials at the residue level, a class of novel potentials at the profile level is introduced. We develop four types of profile-level statistical potentials including distance-dependent, contact, Φ/Ψ dihedral angle and accessible surface statistical potentials. These potentials are first evaluated by the fold assessment between the correct and incorrect models generated by comparative modeling from our own and other groups. They are then used to recognize the native structures from well-constructed decoy sets. Experimental results show that all the knowledge-base mean force potentials at the profile level outperform those at the residue level. Significant improvements are obtained for the distance-dependent and accessible surface potentials (5–6%. The contact and Φ/Ψ dihedral angle potential only get a slight improvement (1–2%. Decoy set evaluation results show that the distance

  4. OPUS-Ca: a knowledge-based potential function requiring only Calpha positions.

    Wu, Yinghao; Lu, Mingyang; Chen, Mingzhi; Li, Jialin; Ma, Jianpeng

    2007-07-01

    In this paper, we report a knowledge-based potential function, named the OPUS-Ca potential, that requires only Calpha positions as input. The contributions from other atomic positions were established from pseudo-positions artificially built from a Calpha trace for auxiliary purposes. The potential function is formed based on seven major representative molecular interactions in proteins: distance-dependent pairwise energy with orientational preference, hydrogen bonding energy, short-range energy, packing energy, tri-peptide packing energy, three-body energy, and solvation energy. From the testing of decoy recognition on a number of commonly used decoy sets, it is shown that the new potential function outperforms all known Calpha-based potentials and most other coarse-grained ones that require more information than Calpha positions. We hope that this potential function adds a new tool for protein structural modeling.

  5. Knowledge-based potentials in bioinformatics: From a physicist’s viewpoint

    Zheng, Wei-Mou

    2015-12-01

    Biological raw data are growing exponentially, providing a large amount of information on what life is. It is believed that potential functions and the rules governing protein behaviors can be revealed from analysis on known native structures of proteins. Many knowledge-based potentials for proteins have been proposed. Contrary to most existing review articles which mainly describe technical details and applications of various potential models, the main foci for the discussion here are ideas and concepts involving the construction of potentials, including the relation between free energy and energy, the additivity of potentials of mean force and some key issues in potential construction. Sequence analysis is briefly viewed from an energetic viewpoint. Project supported in part by the National Natural Science Foundation of China (Grant Nos. 11175224 and 11121403).

  6. A methodology for evaluating potential KBS (Knowledge-Based Systems) applications

    Melton, R.B.; DeVaney, D.M.; Whiting, M.A.; Laufmann, S.C.

    1989-06-01

    It is often difficult to assess how well Knowledge-Based Systems (KBS) techniques and paradigms may be applied to automating various tasks. This report describes the approach and organization of an assessment procedure that involves two levels of analysis. Level One can be performed by individuals with little technical expertise relative to KBS development, while Level Two is intended to be used by experienced KBS developers. The two levels review four groups of issues: goals, appropriateness, resources, and non-technical considerations. Those criteria are identified which are important at each step in the assessment. A qualitative methodology for scoring the task relative to the assessment criteria is provided to alloy analysts to make better informed decisions with regard to the potential effectiveness of applying KBS technology. In addition to this documentation, the assessment methodology has been implemented for personal computers use using the HYPERCARD{trademark} software on a Macintosh{trademark} computer. This interactive mode facilities small group analysis of potential KBS applications and permits a non-sequential appraisal with provisions for automated note-keeping and question scoring. The results provide a useful tool for assessing the feasibility of using KBS techniques in performing tasks in support of treaty verification or IC functions. 13 refs., 3 figs.

  7. On the importance of the distance measures used to train and test knowledge-based potentials for proteins.

    Carlsen, Martin; Koehl, Patrice; Røgen, Peter

    2014-01-01

    Knowledge-based potentials are energy functions derived from the analysis of databases of protein structures and sequences. They can be divided into two classes. Potentials from the first class are based on a direct conversion of the distributions of some geometric properties observed in native protein structures into energy values, while potentials from the second class are trained to mimic quantitatively the geometric differences between incorrectly folded models and native structures. In this paper, we focus on the relationship between energy and geometry when training the second class of knowledge-based potentials. We assume that the difference in energy between a decoy structure and the corresponding native structure is linearly related to the distance between the two structures. We trained two distance-based knowledge-based potentials accordingly, one based on all inter-residue distances (PPD), while the other had the set of all distances filtered to reflect consistency in an ensemble of decoys (PPE). We tested four types of metric to characterize the distance between the decoy and the native structure, two based on extrinsic geometry (RMSD and GTD-TS*), and two based on intrinsic geometry (Q* and MT). The corresponding eight potentials were tested on a large collection of decoy sets. We found that it is usually better to train a potential using an intrinsic distance measure. We also found that PPE outperforms PPD, emphasizing the benefits of capturing consistent information in an ensemble. The relevance of these results for the design of knowledge-based potentials is discussed.

  8. On the importance of the distance measures used to train and test knowledge-based potentials for proteins.

    Martin Carlsen

    Full Text Available Knowledge-based potentials are energy functions derived from the analysis of databases of protein structures and sequences. They can be divided into two classes. Potentials from the first class are based on a direct conversion of the distributions of some geometric properties observed in native protein structures into energy values, while potentials from the second class are trained to mimic quantitatively the geometric differences between incorrectly folded models and native structures. In this paper, we focus on the relationship between energy and geometry when training the second class of knowledge-based potentials. We assume that the difference in energy between a decoy structure and the corresponding native structure is linearly related to the distance between the two structures. We trained two distance-based knowledge-based potentials accordingly, one based on all inter-residue distances (PPD, while the other had the set of all distances filtered to reflect consistency in an ensemble of decoys (PPE. We tested four types of metric to characterize the distance between the decoy and the native structure, two based on extrinsic geometry (RMSD and GTD-TS*, and two based on intrinsic geometry (Q* and MT. The corresponding eight potentials were tested on a large collection of decoy sets. We found that it is usually better to train a potential using an intrinsic distance measure. We also found that PPE outperforms PPD, emphasizing the benefits of capturing consistent information in an ensemble. The relevance of these results for the design of knowledge-based potentials is discussed.

  9. DECK: Distance and environment-dependent, coarse-grained, knowledge-based potentials for protein-protein docking

    Vakser Ilya A

    2011-07-01

    Full Text Available Abstract Background Computational approaches to protein-protein docking typically include scoring aimed at improving the rank of the near-native structure relative to the false-positive matches. Knowledge-based potentials improve modeling of protein complexes by taking advantage of the rapidly increasing amount of experimentally derived information on protein-protein association. An essential element of knowledge-based potentials is defining the reference state for an optimal description of the residue-residue (or atom-atom pairs in the non-interaction state. Results The study presents a new Distance- and Environment-dependent, Coarse-grained, Knowledge-based (DECK potential for scoring of protein-protein docking predictions. Training sets of protein-protein matches were generated based on bound and unbound forms of proteins taken from the DOCKGROUND resource. Each residue was represented by a pseudo-atom in the geometric center of the side chain. To capture the long-range and the multi-body interactions, residues in different secondary structure elements at protein-protein interfaces were considered as different residue types. Five reference states for the potentials were defined and tested. The optimal reference state was selected and the cutoff effect on the distance-dependent potentials investigated. The potentials were validated on the docking decoys sets, showing better performance than the existing potentials used in scoring of protein-protein docking results. Conclusions A novel residue-based statistical potential for protein-protein docking was developed and validated on docking decoy sets. The results show that the scoring function DECK can successfully identify near-native protein-protein matches and thus is useful in protein docking. In addition to the practical application of the potentials, the study provides insights into the relative utility of the reference states, the scope of the distance dependence, and the coarse-graining of

  10. A knowledge-based approach to estimating the magnitude and spatial patterns of potential threats to soil biodiversity.

    Orgiazzi, Alberto; Panagos, Panos; Yigini, Yusuf; Dunbar, Martha B; Gardi, Ciro; Montanarella, Luca; Ballabio, Cristiano

    2016-03-01

    Because of the increasing pressures exerted on soil, below-ground life is under threat. Knowledge-based rankings of potential threats to different components of soil biodiversity were developed in order to assess the spatial distribution of threats on a European scale. A list of 13 potential threats to soil biodiversity was proposed to experts with different backgrounds in order to assess the potential for three major components of soil biodiversity: soil microorganisms, fauna, and biological functions. This approach allowed us to obtain knowledge-based rankings of threats. These classifications formed the basis for the development of indices through an additive aggregation model that, along with ad-hoc proxies for each pressure, allowed us to preliminarily assess the spatial patterns of potential threats. Intensive exploitation was identified as the highest pressure. In contrast, the use of genetically modified organisms in agriculture was considered as the threat with least potential. The potential impact of climate change showed the highest uncertainty. Fourteen out of the 27 considered countries have more than 40% of their soils with moderate-high to high potential risk for all three components of soil biodiversity. Arable soils are the most exposed to pressures. Soils within the boreal biogeographic region showed the lowest risk potential. The majority of soils at risk are outside the boundaries of protected areas. First maps of risks to three components of soil biodiversity based on the current scientific knowledge were developed. Despite the intrinsic limits of knowledge-based assessments, a remarkable potential risk to soil biodiversity was observed. Guidelines to preliminarily identify and circumscribe soils potentially at risk are provided. This approach may be used in future research to assess threat at both local and global scale and identify areas of possible risk and, subsequently, design appropriate strategies for monitoring and protection of soil

  11. On the importance of the distance measures used to train and test knowledge-based potentials for proteins

    Carlsen, Martin; Koehl, Patrice; Røgen, Peter

    2014-01-01

    Knowledge-based potentials are energy functions derived from the analysis of databases of protein structures and sequences. They can be divided into two classes. Potentials from the first class are based on a direct conversion of the distributions of some geometric properties observed in native...... protein structures into energy values, while potentials from the second class are trained to mimic quantitatively the geometric differences between incorrectly folded models and native structures. In this paper, we focus on the relationship between energy and geometry when training the second class...

  12. A Statistical Analysis of Protein-Protein Interaction with Knowledge-Based Potential at Residue Level

    林巍; 孙飞; 饶子和

    2003-01-01

    Protein-protein recognition is an important step in biological processes, which still largely remains elusive.The inter-residue contact potential, CPij, describes the propensity of contact between two types of residue.In this study, several different CPij variants were examined with the objective of discriminating the binding potential of surface pairs.Using solvent mediated inter-molecule contact potential (SM-IMCPij), an evaluation model was deduced and tested.Using the evaluation model it was found that the SM-IMCPij gives a better performance than either residue mediated IMCPij(RM-IMCPij) or folding-residue contact potential (FCPij).The results suggest that the evaluation model provides a fast, effective, and discriminative method for the evaluation of proposed binding interfaces.

  13. On the analysis of protein-protein interactions via knowledge-based potentials for the prediction of protein-protein docking

    Feliu, Elisenda; Aloy, Patrick; Oliva, Baldo

    2011-01-01

    Development of effective methods to screen binary interactions obtained by rigid-body protein-protein docking is key for structure prediction of complexes and for elucidating physicochemical principles of protein-protein binding. We have derived empirical knowledge-based potential functions...... results were compared with a residue-pair potential scoring function (RPScore) and an atomic-detailed scoring function (Zrank). We have combined knowledge-based potentials to score protein-protein poses of decoys of complexes classified either as transient or as permanent protein-protein interactions...

  14. DrugScorePPI knowledge-based potentials used as scoring and objective function in protein-protein docking.

    Dennis M Krüger

    Full Text Available The distance-dependent knowledge-based DrugScore(PPI potentials, previously developed for in silico alanine scanning and hot spot prediction on given structures of protein-protein complexes, are evaluated as a scoring and objective function for the structure prediction of protein-protein complexes. When applied for ranking "unbound perturbation" ("unbound docking" decoys generated by Baker and coworkers a 4-fold (1.5-fold enrichment of acceptable docking solutions in the top ranks compared to a random selection is found. When applied as an objective function in FRODOCK for bound protein-protein docking on 97 complexes of the ZDOCK benchmark 3.0, DrugScore(PPI/FRODOCK finds up to 10% (15% more high accuracy solutions in the top 1 (top 10 predictions than the original FRODOCK implementation. When used as an objective function for global unbound protein-protein docking, fair docking success rates are obtained, which improve by ∼ 2-fold to 18% (58% for an at least acceptable solution in the top 10 (top 100 predictions when performing knowledge-driven unbound docking. This suggests that DrugScore(PPI balances well several different types of interactions important for protein-protein recognition. The results are discussed in view of the influence of crystal packing and the type of protein-protein complex docked. Finally, a simple criterion is provided with which to estimate a priori if unbound docking with DrugScore(PPI/FRODOCK will be successful.

  15. Monitoring Knowledge Base (MKB)

    U.S. Environmental Protection Agency — The Monitoring Knowledge Base (MKB) is a compilation of emissions measurement and monitoring techniques associated with air pollution control devices, industrial...

  16. Knowledge Based Strategies for Knowledge Based Organizations

    2012-01-01

    In the present, we can observe that a new economy is arising. It is an economy based on knowledge and ideas, in which the key factor for prosperity and for creation of the new jobs is the knowledge capitalization. Knowledge capitalization, intellectual capital, obtaining prosperity in the market economy imposes a new terminology, new managerial methods and techniques, new technologies and also new strategies. In other words, knowledge based economy, as a new type of economy; impose a new type...

  17. Knowledge based maintenance

    Sturm, A. [Hamburgische Electacitaets-Werke AG Hamburg (Germany)

    1997-12-31

    The establishment of maintenance strategies is of crucial significance for the reliability of a plant and the economic efficiency of maintenance measures. Knowledge about the condition of components and plants from the technical and business management point of view therefore becomes one of the fundamental questions and the key to efficient management and maintenance. A new way to determine the maintenance strategy can be called: Knowledge Based Maintenance. A simple method for determining strategies while taking the technical condition of the components of the production process into account to the greatest possible degree which can be shown. A software with an algorithm for Knowledge Based Maintenance leads the user during complex work to the determination of maintenance strategies for this complex plant components. (orig.)

  18. Conformational temperature-dependent behavior of a histone H2AX: a coarse-grained Monte Carlo approach via knowledge-based interaction potentials.

    Miriam Fritsche

    Full Text Available Histone proteins are not only important due to their vital role in cellular processes such as DNA compaction, replication and repair but also show intriguing structural properties that might be exploited for bioengineering purposes such as the development of nano-materials. Based on their biological and technological implications, it is interesting to investigate the structural properties of proteins as a function of temperature. In this work, we study the spatial response dynamics of the histone H2AX, consisting of 143 residues, by a coarse-grained bond fluctuating model for a broad range of normalized temperatures. A knowledge-based interaction matrix is used as input for the residue-residue Lennard-Jones potential.We find a variety of equilibrium structures including global globular configurations at low normalized temperature (T* = 0.014, combination of segmental globules and elongated chains (T* = 0.016,0.017, predominantly elongated chains (T* = 0.019,0.020, as well as universal SAW conformations at high normalized temperature (T* ≥ 0.023. The radius of gyration of the protein exhibits a non-monotonic temperature dependence with a maximum at a characteristic temperature (T(c* = 0.019 where a crossover occurs from a positive (stretching at T* ≤ T(c* to negative (contraction at T* ≥ T(c* thermal response on increasing T*.

  19. Conformational temperature-dependent behavior of a histone H2AX: a coarse-grained Monte Carlo approach via knowledge-based interaction potentials.

    Fritsche, Miriam; Pandey, Ras B; Farmer, Barry L; Heermann, Dieter W

    2012-01-01

    Histone proteins are not only important due to their vital role in cellular processes such as DNA compaction, replication and repair but also show intriguing structural properties that might be exploited for bioengineering purposes such as the development of nano-materials. Based on their biological and technological implications, it is interesting to investigate the structural properties of proteins as a function of temperature. In this work, we study the spatial response dynamics of the histone H2AX, consisting of 143 residues, by a coarse-grained bond fluctuating model for a broad range of normalized temperatures. A knowledge-based interaction matrix is used as input for the residue-residue Lennard-Jones potential.We find a variety of equilibrium structures including global globular configurations at low normalized temperature (T* = 0.014), combination of segmental globules and elongated chains (T* = 0.016,0.017), predominantly elongated chains (T* = 0.019,0.020), as well as universal SAW conformations at high normalized temperature (T* ≥ 0.023). The radius of gyration of the protein exhibits a non-monotonic temperature dependence with a maximum at a characteristic temperature (T(c)* = 0.019) where a crossover occurs from a positive (stretching at T* ≤ T(c)*) to negative (contraction at T* ≥ T(c)*) thermal response on increasing T*.

  20. Conformational Temperature-Dependent Behavior of a Histone H2AX: A Coarse-Grained Monte Carlo Approach Via Knowledge-Based Interaction Potentials

    2012-03-19

    table [19] which is employed in studying scaffolding of short peptides [20]. Even though the knowledge-based matrix elements eij are simplified...hairpin peptide. Biopolym 81: 167–178. 45. Wang Y, Feng S, Voth G (2009) Transferable coarse-grained models for ionic liquids. Chem Theory Comput 5

  1. Creating a Knowledge-Based Economy in the United Arab Emirates: Realising the Unfulfilled Potential of Women in the Science, Technology and Engineering Fields

    Aswad, Noor Ghazal; Vidican, Georgeta; Samulewicz, Diana

    2011-01-01

    As the United Arab Emirates (UAE) moves towards a knowledge-based economy, maximising the participation of the national workforce, especially women, in the transformation process is crucial. Using survey methods and semi-structured interviews, this paper examines the factors that influence women's decisions regarding their degree programme and…

  2. Knowledge Based Economy Assessment

    Madalina Cristina Tocan

    2012-12-01

    Full Text Available The importance of knowledge-based economy (KBE in the XXI century isevident. In the article the reflection of knowledge on economy is analyzed. The main point is targeted to the analysis of characteristics of knowledge expression in economy and to the construction of structure of KBE expression. This allows understanding the mechanism of functioning of knowledge economy. Theauthors highlight the possibility to assess the penetration level of KBE which could manifest itself trough the existence of products of knowledge expression which could be created in acquisition, creation, usage and development of them. The latter phenomenon is interpreted as knowledge expression characteristics: economic and social context, human resources, ICT, innovative business and innovation policy. The reason for this analysis was based on the idea that in spite of the knowledge economy existence in all developed World countries adefinitive, universal list of indicators for mapping and measuring the KBE does not yet exists. Knowledge Expression Assessment Models are presented in the article.

  3. The knowledge base of journalism

    Svith, Flemming

    In this paper I propose the knowledge base as a fruitful way to apprehend journalism. With the claim that the majority of practice is anchored in knowledge – understood as 9 categories of rationales, forms and levels – this knowledge base appears as a contextual look at journalists’ knowledge......, and place. As an analytical framework, the knowledge base is limited to understand the practice of newspaper journalists, but, conversely, the knowledge base encompasses more general beginnings through the inclusion of overall structural relationships in the media and journalism and general theories...... on practice and knowledge. As the result of an abductive reasoning is a theory proposal, there is a need for more deductive approaches to test the validity of this knowledge base claim. It is thus relevant to investigate which rationales are included in the knowledge base of journalism, as the dimension does...

  4. Knowledge-Based Asynchronous Programming

    Haan, Hendrik Wietze de; Hesselink, Wim H.; Renardel de Lavalette, Gerard R.

    2004-01-01

    A knowledge-based program is a high-level description of the behaviour of agents in terms of knowledge that an agent must have before (s)he may perform an action. The definition of the semantics of knowledge-based programs is problematic, since it involves a vicious circle; the knowledge of an agent

  5. The Knowledge Based Information Economy

    1990-01-01

    Working Paper No. 256 is published as "The Knowledge Based Information Economy" (authors: Gunnar Eliasson, Stefan Fölster, Thomas Lindberg, Tomas Pousette and Erol Taymaz). Stockholm: Industrial Institute for Economic and Social Research and Telecon, 1990.

  6. Knowledge-based nursing diagnosis

    Roy, Claudette; Hay, D. Robert

    1991-03-01

    Nursing diagnosis is an integral part of the nursing process and determines the interventions leading to outcomes for which the nurse is accountable. Diagnoses under the time constraints of modern nursing can benefit from a computer assist. A knowledge-based engineering approach was developed to address these problems. A number of problems were addressed during system design to make the system practical extended beyond capture of knowledge. The issues involved in implementing a professional knowledge base in a clinical setting are discussed. System functions, structure, interfaces, health care environment, and terminology and taxonomy are discussed. An integrated system concept from assessment through intervention and evaluation is outlined.

  7. Epistemology of knowledge based simulation

    Reddy, R.

    1987-04-01

    Combining artificial intelligence concepts, with traditional simulation methodologies yields a powerful design support tool known as knowledge based simulation. This approach turns a descriptive simulation tool into a prescriptive tool, one which recommends specific goals. Much work in the area of general goal processing and explanation of recommendations remains to be done.

  8. Expert and Knowledge Based Systems.

    Demaid, Adrian; Edwards, Lyndon

    1987-01-01

    Discusses the nature and current state of knowledge-based systems and expert systems. Describes an expert system from the viewpoints of a computer programmer and an applications expert. Addresses concerns related to materials selection and forecasts future developments in the teaching of materials engineering. (ML)

  9. Exchanging Description Logic Knowledge Bases

    Arenas, M.; Botoeva, E.; Calvanese, D.; Ryzhikov, V.; Sherkhonov, E.

    2012-01-01

    In this paper, we study the problem of exchanging knowledge between a source and a target knowledge base (KB), connected through mappings. Differently from the traditional database exchange setting, which considers only the exchange of data, we are interested in exchanging implicit knowledge. As rep

  10. Web based foundry knowledge base

    A. Stawowy

    2009-01-01

    Full Text Available The main assumptions and functions of proposed Foundry Knowledge Base (FKB are presented in this paper. FKB is a framework forinformation exchange of casting products and manufacturing methods. We use CMS (Content Management System to develope andmaintain our web-based system. The CastML – XML dialect developed by authors for description of casting products and processes – isused as a tool for information interchange between ours and outside systems, while SQL is used to store and edit knowledge rules and alsoto solve the basic selection problems in the rule-based module. Besides the standard functions (companies data, news, events, forums and media kit, our website contains a number of nonstandard functions; the intelligent search module based on expert system is the main advantage of our solution. FKB is to be a social portal which content will be developed by foundry community.

  11. Knowledge Base Editor (SharpKBE)

    Tikidjian, Raffi; James, Mark; Mackey, Ryan

    2007-01-01

    The SharpKBE software provides a graphical user interface environment for domain experts to build and manage knowledge base systems. Knowledge bases can be exported/translated to various target languages automatically, including customizable target languages.

  12. Foundation: Transforming data bases into knowledge bases

    Purves, R. B.; Carnes, James R.; Cutts, Dannie E.

    1987-01-01

    One approach to transforming information stored in relational data bases into knowledge based representations and back again is described. This system, called Foundation, allows knowledge bases to take advantage of vast amounts of pre-existing data. A benefit of this approach is inspection, and even population, of data bases through an intelligent knowledge-based front-end.

  13. A Practical Propositional Knowledge Base Revision Algorithm

    陶雪红; 孙伟; 等

    1997-01-01

    This paper gives an outline of knowledge base revision and some recently presented complexity results about propostitional knowledge base revision.Different methods for revising propositional knowledge base have been proposed recently by several researchers,but all methods are intractable in the general case.For practical application,this paper presents a revision method for special case,and gives its corresponding polynomial algorithm.

  14. The New Economy- Knowledge Based Economy

    2007-01-01

    The aim of this paper is to emphasize the importance of knowledge based economy, in this time characterized by fast changes and sometimes radical changes, it is impossible to resist without adapting, both people and the organizations too. The matter of the paper develops knowledge based economy concept: elements, definitions of the knowledge based economy, stages and the main knowledge codification. In the end of the paper, the author presents the importance of economy knowledge, in Romanian ...

  15. Decision Support and Knowledge-Based Systems.

    Konsynski, Benn R.; And Others

    1988-01-01

    A series of articles addresses issues concerning decision support and knowledge based systems. Topics covered include knowledge-based systems for information centers; object oriented systems; strategic information systems case studies; user perception; manipulation of certainty factors by individuals and expert systems; spreadsheet program use;…

  16. A Logical Framework for Knowledge Base Maintenance

    李未

    1995-01-01

    The maintenance sequences of a knowledge base and their limits are introduced.Some concepts used in knowledge base maintenance,such as new laws,user's rejections,and reconstructions of a knowledge base are defined;the related theorems are proved.A procedure is defined using transition systems;it generates maintenance sequences for a given user's model and a knowledge base.It is proved that all sequences produced by the procedure are convergent,and their limit is the set of true sentences of the model.Some computational aspects of reconstructions are studied.An R-calculus is given to deduce a reconstruction when a knowledge base meets a user's rejection.The work is compared with AGM's theory of belief revision.

  17. Knowledge-based systems and software engineering

    Bader, J.L.

    1988-01-01

    This work was carried out as part of a collaborative Alvey software engineering project (project number SE057). The project collaborators were the Inter-Disciplinary Higher Degrees Scheme of the University of Aston in Birmingham, BIS Applied Systems Ltd. (BIS) and the British Steel Corporation. The aim of the project was to investigate the potential application of knowledge-based systems (KBSs) to the design of commercial data processing (DP) systems. The work was primarily concerned with BIS's Structured Systems Design (SSD) methodology for DP systems development and how users of this methodology could be supported using KBS tools. The problems encountered by users of SSD are discussed, and potential forms of computer-based support for inexpert designers are identified. The architecture for a support environment for SSD is proposed based on the integration of KBS and non-KBS tools for individual design tasks within SSD - the Intellipse system. The potential role of KBS tools in the domain of data-base design is discussed. The need for operational KBSs to be built to the same standards as other commercial and industrial software is identified.

  18. A dynamic knowledge base based search engine

    WANG Hui-jin; HU Hua; LI Qing

    2005-01-01

    Search engines have greatly helped us to find thedesired information from the Intemet. Most search engines use keywords matching technique. This paper discusses a Dynamic Knowledge Base based Search Engine (DKBSE), which can expand the user's query using the keywords' concept or meaning. To do this, the DKBSE needs to construct and maintain the knowledge base dynamically via the system's searching results and the user's feedback information. The DKBSE expands the user's initial query using the knowledge base, and returns the searched information after the expanded query.

  19. Knowledge-based segmentation for automatic Map interpretation

    Hartog, J. den; Kate, T. ten; Gerbrands, J.

    1996-01-01

    In this paper, a knowledge-based framework for the top-down interpretation and segmentation of maps is presented. The interpretation is based on a priori knowledge about map objects, their mutual spatial relationships and potential segmentation problems. To reduce computational costs, a global segme

  20. Regional Convergence in Knowledge-based Economy

    Maryam Fattahi

    2011-01-01

    Full Text Available Nowadays, the world economies are rapidly moving towards being more Knowledge-based Economy (KBE and supporting the force of knowledge as a vital component of economic growth. This recent acceleration in the transition to Knowledge-based Economy in the world, has affected regional economic performance. In this paper, we surveyed the regional convergence in Knowledge-based Economy for selected Asia and pacific countries. We used a growth model in Barro and Sala-i-Martin framework (1995 for the period of 1995-2009. It includes a panel data set consisting of the annual growth rate of GDP per capita for selected Asia and pacific countries and a group of indicators that define the situation of Knowledge-based Economy in countries. The empirical results indicate that the absolute and the conditional convergence are not rejected for selected countries. The investigation on robustness of the model results confirms the existence of regional convergence for studied countries.

  1. The Coming of Knowledge-Based Business.

    Davis, Stan; Botkin, Jim

    1994-01-01

    Economic growth will come from knowledge-based businesses whose "smart" products filter and interpret information. Businesses will come to think of themselves as educators and their customers as learners. (SK)

  2. Agent-oriented commonsense knowledge base

    陆汝钤; 石纯一; 张松懋; 毛希平; 徐晋晖; 杨萍; 范路

    2000-01-01

    Common sense processing has been the key difficulty in Al community. Through analyzing various research methods on common sense, a large-scale agent-oriented commonsense knowledge base is described in this paper. We propose a new type of agent——CBS agent, specify common sense oriented semantic network descriptive language-Csnet, augment Prolog for common sense, analyze the ontology structure, and give the execution mechanism of the knowledge base.

  3. A Knowledge-based Stampability Evaluation System

    2002-01-01

    The aim, characteristics and requirements of stampability evaluation are identified.As sam-pability evaluation is highly skill-intensive and requires a wide variety of design expertise and knowledge, a knowledge based system is proposed for implementing the stampability evaluation.The stampability eval uation knowledge representation,and processing phases are illustrated. A case study demonstrates the feasibility of the knowledge based approach to stampability evalu-ation.

  4. Knowledge Based Systems and Metacognition in Radar

    Capraro, Gerard T.; Wicks, Michael C.

    An airborne ground looking radar sensor's performance may be enhanced by selecting algorithms adaptively as the environment changes. A short description of an airborne intelligent radar system (AIRS) is presented with a description of the knowledge based filter and detection portions. A second level of artificial intelligence (AI) processing is presented that monitors, tests, and learns how to improve and control the first level. This approach is based upon metacognition, a way forward for developing knowledge based systems.

  5. Loading Arbitrary Knowledge Bases in Matrix Browser

    2009-01-01

    This paper describes the work done on Matrix Browser, which is a recently developed graphical user interface to explore and navigate complex networked information spaces. This approach presents a new way of navigating information nets in windows explorer like widget. The problem on hand was how to export arbitrary knowledge bases in Matrix Browser. This was achieved by identifying the relationships present in knowledge bases and then by forming the hierarchies from this data and these hierarc...

  6. Current trends on knowledge-based systems

    Valencia-García, Rafael

    2017-01-01

    This book presents innovative and high-quality research on the implementation of conceptual frameworks, strategies, techniques, methodologies, informatics platforms and models for developing advanced knowledge-based systems and their application in different fields, including Agriculture, Education, Automotive, Electrical Industry, Business Services, Food Manufacturing, Energy Services, Medicine and others. Knowledge-based technologies employ artificial intelligence methods to heuristically address problems that cannot be solved by means of formal techniques. These technologies draw on standard and novel approaches from various disciplines within Computer Science, including Knowledge Engineering, Natural Language Processing, Decision Support Systems, Artificial Intelligence, Databases, Software Engineering, etc. As a combination of different fields of Artificial Intelligence, the area of Knowledge-Based Systems applies knowledge representation, case-based reasoning, neural networks, Semantic Web and TICs used...

  7. Knowledge-based flow field zoning

    Andrews, Alison E.

    1988-01-01

    Automation flow field zoning in two dimensions is an important step towards easing the three-dimensional grid generation bottleneck in computational fluid dynamics. A knowledge based approach works well, but certain aspects of flow field zoning make the use of such an approach challenging. A knowledge based flow field zoner, called EZGrid, was implemented and tested on representative two-dimensional aerodynamic configurations. Results are shown which illustrate the way in which EZGrid incorporates the effects of physics, shape description, position, and user bias in a flow field zoning.

  8. Information modelling and knowledge bases XXV

    Tokuda, T; Jaakkola, H; Yoshida, N

    2014-01-01

    Because of our ever increasing use of and reliance on technology and information systems, information modelling and knowledge bases continue to be important topics in those academic communities concerned with data handling and computer science. As the information itself becomes more complex, so do the levels of abstraction and the databases themselves. This book is part of the series Information Modelling and Knowledge Bases, which concentrates on a variety of themes in the important domains of conceptual modeling, design and specification of information systems, multimedia information modelin

  9. A programmable approach to revising knowledge bases

    LUAN Shangmin; DAI Guozhong; LI Wei

    2005-01-01

    This paper presents a programmable approach to revising knowledge bases consisting of clauses. Some theorems and lemmas are shown in order to give procedures for generating maximally consistent subsets. Then a complete procedure and an incomplete procedure for generating the maximal consistent subsets are presented, and the correctness of the procedures is also shown. Furthermore, a way to implement knowledge base revision is presented, and a prototype system is introduced. Compared with related works, the main characteristic of our approach is that the approach can be implemented by a computer program.

  10. Tools for the Knowledge-Based Organization

    Ravn, Ib

    2002-01-01

    1. EXECUTIVE SUMMARY • It is proposed that a consortium for research on and development of tools for the knowledge-based organization be established at Learning Lab Denmark. • The knowledge-based organizations must refine and use the knowledge held by its members and not confuse it with the infor......1. EXECUTIVE SUMMARY • It is proposed that a consortium for research on and development of tools for the knowledge-based organization be established at Learning Lab Denmark. • The knowledge-based organizations must refine and use the knowledge held by its members and not confuse...... it with the information held by its computers. Knowledge specialists cannot be managed and directed in the classical sense. The organization needs to be rehumanized and conditions for reflection, learning and autonomy enhanced, so that its collective knowledge may be better used to create real value for its stakeholders....... • To help organizations do this, tools need to be researched, sophisticated or invented. Broadly conceived, tools include ideas, such as theories, missions and business plans, practices, such as procedures and behaviors, and instruments, such as questionnaires, indicators, agendas and methods...

  11. NRV web knowledge base on low-energy nuclear physics

    Karpov, V.; Denikin, A. S.; Alekseev, A. P.; Zagrebaev, V. I.; Rachkov, V. A.; Naumenko, M. A.; Saiko, V. V.

    2016-09-01

    Principles underlying the organization and operation of the NRV web knowledge base on low-energy nuclear physics (http://nrv.jinr.ru) are described. This base includes a vast body of digitized experimental data on the properties of nuclei and on cross sections for nuclear reactions that is combined with a wide set of interconnected computer programs for simulating complex nuclear dynamics, which work directly in the browser of a remote user. Also, the current situation in the realms of application of network information technologies in nuclear physics is surveyed. The potential of the NRV knowledge base is illustrated in detail by applying it to the example of an analysis of the fusion of nuclei that is followed by the decay of the excited compound nucleus formed.

  12. One knowledge base or many knowledge pools?

    Lundvall, Bengt-Åke

    It is increasingly realized that knowledge is the most important resource and that learning is the most important process in the economy. Sometimes this is expressed by coining the current era as characterised by a ‘knowledge based economy'. But this concept might be misleading by indicating...... that there is one common knowledge base on which economic activities can be built. In this paper we argue that it is more appropriate to see the economy as connecting to different ‘pools of knowledge'. The argument is built upon a conceptual framework where we make distinctions between private/public, local....../global, individual/collective and tacit/codified knowledge. The purpose is both ‘academic' and practical. Our analysis demonstrates the limits of a narrowly economic perspective on knowledge and we show that these distinctions have important implications both for innovation policy and for management of innovation....

  13. KNOWLEDGE BASED METHODS FOR VIDEO DATA RETRIEVAL

    S.Thanga Ramya; P. Rangarajan

    2011-01-01

    Large collections of publicly available video data grow day by day, the need to query this dataefficiently becomes significant. Consequently, content-based retrieval of video data turns out to be achallenging and important problem. This paper addresses the specific aspect of inferring semanticsautomatically from raw video data using different knowledge-based methods. In particular, this paperfocuses on three techniques namely, rules, Hidden Markov Models (HMMs), and Dynamic BayesianNetworks (...

  14. ORGANIZATIONAL CHANGE IN KNOWLEDGE-BASED FIRM

    VLADIMIR-CODRIN IONESCU

    2011-04-01

    Full Text Available For sustainable competitive advantages gain, modern organizations, knowledge-based, must promote a proactive and flexible management, permanently connected to change which occur in business environment. Contextually, the paper analyses impact factors of the environment which could determine a firm to initiate a programme strategic organizational change. Likewise, the paper identifies the main organizational variables involved in a changing process and emphasizes the essential role which managers and entrepreneurs have in substantiation, elaboration and implementation of organizational change models.

  15. Integrating Knowledge Bases and Statistics in MT

    Knight, K; Haines, M G; Hatzivassiloglou, V; Hovy, E; Iida, M; Luk, S K; Okumura, A; Whitney, R; Yamada, K; Knight, Kevin; Chander, Ishwar; Haines, Matthew; Hatzivassiloglou, Vasileios; Hovy, Eduard; Iida, Masayo; Luk, Steve K.; Okumura, Akitoshi; Whitney, Richard; Yamada, Kenji

    1994-01-01

    We summarize recent machine translation (MT) research at the Information Sciences Institute of USC, and we describe its application to the development of a Japanese-English newspaper MT system. Our work aims at scaling up grammar-based, knowledge-based MT techniques. This scale-up involves the use of statistical methods, both in acquiring effective knowledge resources and in making reasonable linguistic choices in the face of knowledge gaps.

  16. Satellite Contamination and Materials Outgassing Knowledge base

    Minor, Jody L.; Kauffman, William J. (Technical Monitor)

    2001-01-01

    Satellite contamination continues to be a design problem that engineers must take into account when developing new satellites. To help with this issue, NASA's Space Environments and Effects (SEE) Program funded the development of the Satellite Contamination and Materials Outgassing Knowledge base. This engineering tool brings together in one location information about the outgassing properties of aerospace materials based upon ground-testing data, the effects of outgassing that has been observed during flight and measurements of the contamination environment by on-orbit instruments. The knowledge base contains information using the ASTM Standard E- 1559 and also consolidates data from missions using quartz-crystal microbalances (QCM's). The data contained in the knowledge base was shared with NASA by government agencies and industry in the US and international space agencies as well. The term 'knowledgebase' was used because so much information and capability was brought together in one comprehensive engineering design tool. It is the SEE Program's intent to continually add additional material contamination data as it becomes available - creating a dynamic tool whose value to the user is ever increasing. The SEE Program firmly believes that NASA, and ultimately the entire contamination user community, will greatly benefit from this new engineering tool and highly encourages the community to not only use the tool but add data to it as well.

  17. APPLYING COLLABORATION SCRIPT IN KNOWLEDGE BASED SESSIONS

    AIMAN TURANI

    2016-01-01

    Full Text Available Knowledge Based Processes, KBP, have been introduced to facilitate knowledge transfer among organizational and corporate employees. They stress on the key role of socialization and group meetings in promoting effective knowledge transfer. Meetings within virtual environment are becoming more and more used in today’s organizational settings. There are many conferencing tools that are used to facilitate such meetings. However, providing participants with a co nferencing or chatting tool and expecting them to transfer their knowledge to each other in a convenient way, could lead to many disappointments. CSCL, Computer Support for Collaborative Learning, is relatively a new discipline within teaching and learning field. Applying CSCL techniques and technologies in Knowledge Base Systems, KBS, would be a reasonable option since teaching and learning is essentially a process of knowledge transfer between instructors and students or collaboratively between students themselves. In this research we are focusing on the usage of Collaboration Script, CS, as a way to support knowledge transfer sessions in a structured and formal way. It facilitates sharing tacit knowledge via guided interpersonal interactions and turning them to explicit knowledge by capturing and retrieving these interactions. In this paper we are presenting the scripting structure of three common collaboration techniques used in Knowledge Base processes. As a proof of concept, two of these techniques are described using the collaboration scripting language, ColScript, that was introduced by us in an earlier research.

  18. Knowledge base development for SAM training tools

    Jae, M.S.; Yoo, W.S.; Park, S. S.; Choi, H.K. [Hansung Univ., Seoul (Korea)

    2001-03-01

    Severe accident management can be defined as the use of existing and alternative resources, systems, and actions to prevent or mitigate a core-melt accident in nuclear power plants. TRAIN (Training pRogram for AMP In NPP), developed for training control room staff and the technical group, is introduced in this report. The TRAIN composes of phenomenological knowledge base (KB), accident sequence KB and accident management procedures with AM strategy control diagrams and information needs. This TRAIN might contribute to training them by obtaining phenomenological knowledge of severe accidents, understanding plant vulnerabilities, and solving problems under high stress. 24 refs., 76 figs., 102 tabs. (Author)

  19. Knowledge-based techniques in software engineering

    Jairam, B.N.; Agarwal, A.; Emrich, M.L.

    1988-05-04

    Recent trends in software engineering research focus on the incorporation of AI techniques. The feasibility of an overlap between AI and software engineering is examined. The benefits of merging the two fields are highlighted. The long-term goal is to automate the software development process. Some projects being undertaken towards the attainment of this goal are presented as examples. Finally, research on the Oak Ridge Reservation aimed at developing a knowledge-based software project management aid is presented. 25 refs., 1 tab.

  20. Knowledge based recognition of harbor target

    Zhu Bing; Li Jinzong; Cheng Aijun

    2006-01-01

    A fast knowledge based recognition method of the harbor target in large gray remote-sensing image is presented. First, the distributed features and the inherent feature are analyzed according to the knowledge of harbor targets; then, two methods for extracting the candidate region of harbor are devised in accordance with different sizes of the harbors; after that, thresholds are used to segment the land and the sea with strategies of the segmentation error control; finally, harbor recognition is implemented according to its inherent character (semi-closed region of seawater).

  1. A STEPPING STONE TOWARDS KNOWLEDGE BASED MAINTENANCE

    G. Waeyenbergh

    2012-01-01

    Full Text Available Maintenance decision making becomes more and more a management concern. Some decades ago, maintenance was still often considered as an unavoidable side effect of production. The perception of maintenance has evolved considerably. One of the current issues is the maintenance concept, being the mix of maintenance interventions and the general framework for determining this mix. In this paper we describe a modular framework, called Knowledge Based Maintenance, for developing a customised maintenance concept. After describing the general framework and its decision support use, some case experiences are given. This experience covers some elements of the proposed framework.

  2. A multivalued knowledge-base model

    Achs, Agnes

    2010-01-01

    The basic aim of our study is to give a possible model for handling uncertain information. This model is worked out in the framework of DATALOG. At first the concept of fuzzy Datalog will be summarized, then its extensions for intuitionistic- and interval-valued fuzzy logic is given and the concept of bipolar fuzzy Datalog is introduced. Based on these ideas the concept of multivalued knowledge-base will be defined as a quadruple of any background knowledge; a deduction mechanism; a connecting algorithm, and a function set of the program, which help us to determine the uncertainty levels of the results. At last a possible evaluation strategy is given.

  3. Knowledge Based Economy Assessment in Romania

    Sebastian Ion CEPTUREANU

    2012-06-01

    Full Text Available Knowledge and ability to create it, access and use effectively, has long been both an instrument of innovation and competition and a key economic and social development. However, a series of dramatic changes in recent years have increased the importance of knowledge for generating competitive advantage. Ability to process and use information globally and instantly increased exponentially in recent years due to a combination of scientific progress in computing and distributed computing, exacerbation of competition, innovation in all its forms and cuts of operating costs in global communication networks. As barriers to access knowledge regarding a process, product or market are gradually decreasing (distance, geographical features, and costs, knowledge and skills are becoming increasingly a key to competitiveness, both locally and globally. This paper, based on a survey of 551 Romanian companies, address a sensitive issue of both business and academic fields – perception of knowledge based economy in Romanian companies. Its conclusion can guide decision makers in Romania to develop an integrated approach to foster knowledge based economy in our country.

  4. DKBLM—Deep Knowledge Based Learning Methodology

    马志方

    1993-01-01

    To solve the Imperfect Theory Problem(ITP)faced by Explanation Based Generalization(EBG),this paper proposes a methodology,Deep Knowledge Based Learning Methodology(DKBLM)by name and gives an implementation of DKBLM,called Hierarchically Distributed Learning System(HDLS).As an example of HDLS's application,this paper shows a learning system(MLS)in meteorology domain and its running with a simplified example.DKBLM can acquire experiential knowledge with causality in it.It is applicable to those kinds of domains,in which experiments are relatively difficults to caryy out,and in which there exist many available knowledge systems at different levels for the same domain(such as weather forecasting).

  5. Knowledge-based information systems in practice

    Jain, Lakhmi; Watada, Junzo; Howlett, Robert

    2015-01-01

    This book contains innovative research from leading researchers who presented their work at the 17th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2013, held in Kitakyusha, Japan, in September 2013. The conference provided a competitive field of 236 contributors, from which 38 authors expanded their contributions and only 21 published. A plethora of techniques and innovative applications are represented within this volume. The chapters are organized using four themes. These topics include: data mining, knowledge management, advanced information processes and system modelling applications. Each topic contains multiple contributions and many offer case studies or innovative examples. Anyone that wants to work with information repositories or process knowledge should consider reading one or more chapters focused on their technique of choice. They may also benefit from reading other chapters to assess if an alternative technique represents a more suitable app...

  6. Knowledge base rule partitioning design for CLIPS

    Mainardi, Joseph D.; Szatkowski, G. P.

    1990-01-01

    This describes a knowledge base (KB) partitioning approach to solve the problem of real-time performance using the CLIPS AI shell when containing large numbers of rules and facts. This work is funded under the joint USAF/NASA Advanced Launch System (ALS) Program as applied research in expert systems to perform vehicle checkout for real-time controller and diagnostic monitoring tasks. The Expert System advanced development project (ADP-2302) main objective is to provide robust systems responding to new data frames of 0.1 to 1.0 second intervals. The intelligent system control must be performed within the specified real-time window, in order to meet the demands of the given application. Partitioning the KB reduces the complexity of the inferencing Rete net at any given time. This reduced complexity improves performance but without undo impacts during load and unload cycles. The second objective is to produce highly reliable intelligent systems. This requires simple and automated approaches to the KB verification & validation task. Partitioning the KB reduces rule interaction complexity overall. Reduced interaction simplifies the V&V testing necessary by focusing attention only on individual areas of interest. Many systems require a robustness that involves a large number of rules, most of which are mutually exclusive under different phases or conditions. The ideal solution is to control the knowledge base by loading rules that directly apply for that condition, while stripping out all rules and facts that are not used during that cycle. The practical approach is to cluster rules and facts into associated 'blocks'. A simple approach has been designed to control the addition and deletion of 'blocks' of rules and facts, while allowing real-time operations to run freely. Timing tests for real-time performance for specific machines under R/T operating systems have not been completed but are planned as part of the analysis process to validate the design.

  7. The Development of the IMIA Knowledge Base

    Graham Wright

    2011-03-01

    Full Text Available Background: The discipline of health or medical informatics is relatively new in that the literature has existed for only 40 years. The British Computer Society (BCS health group was of the opinion that work should be undertaken to explore the scope of medical or health informatics. Once the mapping work was completed the International Medical Informatics Association (IMIA expressed the wish to develop it further to define the knowledge base of the discipline and produce a comprehensive internationally applicable framework. This article will also highlight the move from the expert opinion of a small group to the analysis of publications to generalise and refine the initial findings, and illustrate the importance of triangulation.Objectives: The aim of the project was to explore the theoretical constructs underpinning the discipline of health informatics and produce a cognitive map of the existing understanding of the discipline and develop the knowledge base of health informatics for the IMIA and the BCS.Method: The five-phase project, described in this article, undertaken to define the discipline of health informatics used four forms of triangulation.Results: The output from the project is a framework giving the 14 major headings (Subjects and 245 elements, which together describe the current perception of the discipline of health informatics.Conclusion: This article describes how each phase of the project was strengthened, through using triangulation within and between the different phases. This was done to ensure that the investigators could be confident in the confirmation and completeness of data, and assured of the validity and reliability of the final output of the ‘IMIA Knowledge Base’ that was endorsed by the IMIA Board in November 2009.

  8. Specification of Dynamics for Knowledge-Based Systems

    Eck, van Pascal; Engelfriet, Joeri; Fensel, Dieter; Harmelen, van F.A.H.; Venema, Yde; Willems, Mark

    1998-01-01

    During the last years, a number of formal specification languages for knowledge-based systems have been developed. Characteristic for knowledge-based systems are a complex knowledge base and an inference engine which uses this knowledge to solve a given problem. Specification languages for knowledge

  9. Knowledge-based system for automatic MBR control.

    Comas, J; Meabe, E; Sancho, L; Ferrero, G; Sipma, J; Monclús, H; Rodriguez-Roda, I

    2010-01-01

    MBR technology is currently challenging traditional wastewater treatment systems and is increasingly selected for WWTP upgrading. MBR systems typically are constructed on a smaller footprint, and provide superior treated water quality. However, the main drawback of MBR technology is that the permeability of membranes declines during filtration due to membrane fouling, which for a large part causes the high aeration requirements of an MBR to counteract this fouling phenomenon. Due to the complex and still unknown mechanisms of membrane fouling it is neither possible to describe clearly its development by means of a deterministic model, nor to control it with a purely mathematical law. Consequently the majority of MBR applications are controlled in an "open-loop" way i.e. with predefined and fixed air scour and filtration/relaxation or backwashing cycles, and scheduled inline or offline chemical cleaning as a preventive measure, without taking into account the real needs of membrane cleaning based on its filtration performance. However, existing theoretical and empirical knowledge about potential cause-effect relations between a number of factors (influent characteristics, biomass characteristics and operational conditions) and MBR operation can be used to build a knowledge-based decision support system (KB-DSS) for the automatic control of MBRs. This KB-DSS contains a knowledge-based control module, which, based on real time comparison of the current permeability trend with "reference trends", aims at optimizing the operation and energy costs and decreasing fouling rates. In practice the automatic control system proposed regulates the set points of the key operational variables controlled in MBR systems (permeate flux, relaxation and backwash times, backwash flows and times, aeration flow rates, chemical cleaning frequency, waste sludge flow rate and recycle flow rates) and identifies its optimal value. This paper describes the concepts and the 3-level architecture

  10. Toward E-Knowledge Based Complaint Management

    Abdelfatteh Triki

    2009-01-01

    Full Text Available Service failure and recovery is a well-established area of services research. Research has shown that service recovery is critically important from a managerial perspective in terms of maintaining customer relationships. Yet few firms excel at handling service failures. There is a growing number of managers who claim that customers tend to be dissatisfied with their service recovery effort. Their employees cannot improve service processes when they experience recovery situations and their companies still do not learn from service failure. [19] attribute the service recovery ineffectiveness to the competing interests of managing employees, customers and processes. We agree with their contention that to address these criticisms, complaint management must acknowledge and find new approaches to achieve consistency and to correct the misalignment of interests that can exist between the actions of the organisation and the needs of its customers and employees. We believe that search in the customer knowledge management literature represents one effective means to enhance a firm ability to implement a cohesive service recovery strategy.A comprehensive based knowledge creation system framework where the Socialization, Externalization, Combination and Internalization (SECI modes, and various ‘ba’ proposed by Nonaka and Konno are introduced for complaint management. Empirical research, involving a case study is presented to illustrate the proposed framework. This framework is believed to pave the way for e-knowledge based complaint management.

  11. An Ebola virus-centered knowledge base.

    Kamdar, Maulik R; Dumontier, Michel

    2015-01-01

    Ebola virus (EBOV), of the family Filoviridae viruses, is a NIAID category A, lethal human pathogen. It is responsible for causing Ebola virus disease (EVD) that is a severe hemorrhagic fever and has a cumulative death rate of 41% in the ongoing epidemic in West Africa. There is an ever-increasing need to consolidate and make available all the knowledge that we possess on EBOV, even if it is conflicting or incomplete. This would enable biomedical researchers to understand the molecular mechanisms underlying this disease and help develop tools for efficient diagnosis and effective treatment. In this article, we present our approach for the development of an Ebola virus-centered Knowledge Base (Ebola-KB) using Linked Data and Semantic Web Technologies. We retrieve and aggregate knowledge from several open data sources, web services and biomedical ontologies. This knowledge is transformed to RDF, linked to the Bio2RDF datasets and made available through a SPARQL 1.1 Endpoint. Ebola-KB can also be explored using an interactive Dashboard visualizing the different perspectives of this integrated knowledge. We showcase how different competency questions, asked by domain users researching the druggability of EBOV, can be formulated as SPARQL Queries or answered using the Ebola-KB Dashboard.

  12. Knowledge base technology: a developer view

    G. Ginkul

    1996-09-01

    Full Text Available In present paper we have endeavoured to tell about some reasonings, conclusions and pricticals results, to which we have come being busy with one of most interesting problems of modern science. This paper is a brief report of the group of scientists from the Laboratory of Artificial Intelligence Systems about their experience of work in the field of knowledge engineering. The researches in this area was started in our Laboratory more than 10 years ago, i.e. about in the moment, when there was just another rise in Artificial Intelligence, caused by mass emerging of expert systems. The tasks of knowledge engineering were being varied, and focal point of our researches was being varied too. Certainly, we have not solved all the problems, originating in this area. Our knowledge still has an approximate nature, but nevertheless, the outcomes obtained by us seem rather important and interesting. So, we want to tell about our experience in building of knowledge-based systems, and expert systems, in particular.

  13. Knowledge base verification based on enhanced colored petri net

    Kim, Jong Hyun; Seong, Poong Hyun [Korea Advanced Institute of Science and Technology, Taejon (Korea, Republic of)

    1997-12-31

    Verification is a process aimed at demonstrating whether a system meets it`s specified requirements. As expert systems are used in various applications, the knowledge base verification of systems takes an important position. The conventional Petri net approach that has been studied recently in order to verify the knowledge base is found that it is inadequate to verify the knowledge base of large and complex system, such as alarm processing system of nuclear power plant. Thus, we propose an improved method that models the knowledge base as enhanced colored Petri net. In this study, we analyze the reachability and the error characteristics of the knowledge base and apply the method to verification of simple knowledge base. 8 refs., 4 figs. (Author)

  14. THE IMPORTANCE OF MENTORING IN THE KNOWLEDGE BASED ORGANIZATIONS’ MANAGEMENT

    Alexandra Teodora RUGINOSU

    2014-11-01

    Full Text Available Knowledgebased organizations means continuous learning, performance and networking. People’s development depends on their lifelong learning. Mentoring combines the need of development and performance of individuals with the organizational ones. Organizations nowadays face difficulties in recruiting and retaining qualified employees. The work force migration is a phenomenon they have to fight constantly. Employees are being faithful to companies that give them an environment suitable for development: supportive, safe, non-judgmental and comfortable. Teamwork and trust in the co-workers enables employees to show their true potential and trial with no fear. This kind of environment can be created through a mentoring program. This paper highlights the importance of mentoring in the knowledge based organizations management. Mentoring helps staff insertion, development and succession planning, increases employee’s motivation and talent retention and promotes organizational culture. This study presents the benefits and drawbacks that mentoring brings to organizations and employees.

  15. Weather, knowledge base and life-style

    Bohle, Martin

    2015-04-01

    Why to main-stream curiosity for earth-science topics, thus to appraise these topics as of public interest? Namely, to influence practices how humankind's activities intersect the geosphere. How to main-stream that curiosity for earth-science topics? Namely, by weaving diverse concerns into common threads drawing on a wide range of perspectives: be it beauty or particularity of ordinary or special phenomena, evaluating hazards for or from mundane environments, or connecting the scholarly investigation with concerns of citizens at large; applying for threading traditional or modern media, arts or story-telling. Three examples: First "weather"; weather is a topic of primordial interest for most people: weather impacts on humans lives, be it for settlement, for food, for mobility, for hunting, for fishing, or for battle. It is the single earth-science topic that went "prime-time" since in the early 1950-ties the broadcasting of weather forecasts started and meteorologists present their work to the public, daily. Second "knowledge base"; earth-sciences are a relevant for modern societies' economy and value setting: earth-sciences provide insights into the evolution of live-bearing planets, the functioning of Earth's systems and the impact of humankind's activities on biogeochemical systems on Earth. These insights bear on production of goods, living conditions and individual well-being. Third "life-style"; citizen's urban culture prejudice their experiential connections: earth-sciences related phenomena are witnessed rarely, even most weather phenomena. In the past, traditional rural communities mediated their rich experiences through earth-centric story-telling. In course of the global urbanisation process this culture has given place to society-centric story-telling. Only recently anthropogenic global change triggered discussions on geoengineering, hazard mitigation, demographics, which interwoven with arts, linguistics and cultural histories offer a rich narrative

  16. System Engineering for the NNSA Knowledge Base

    Young, C.; Ballard, S.; Hipp, J.

    2006-05-01

    To improve ground-based nuclear explosion monitoring capability, GNEM R&E (Ground-based Nuclear Explosion Monitoring Research & Engineering) researchers at the national laboratories have collected an extensive set of raw data products. These raw data are used to develop higher level products (e.g. 2D and 3D travel time models) to better characterize the Earth at regional scales. The processed products and selected portions of the raw data are stored in an archiving and access system known as the NNSA (National Nuclear Security Administration) Knowledge Base (KB), which is engineered to meet the requirements of operational monitoring authorities. At its core, the KB is a data archive, and the effectiveness of the KB is ultimately determined by the quality of the data content, but access to that content is completely controlled by the information system in which that content is embedded. Developing this system has been the task of Sandia National Laboratories (SNL), and in this paper we discuss some of the significant challenges we have faced and the solutions we have engineered. One of the biggest system challenges with raw data has been integrating database content from the various sources to yield an overall KB product that is comprehensive, thorough and validated, yet minimizes the amount of disk storage required. Researchers at different facilities often use the same data to develop their products, and this redundancy must be removed in the delivered KB, ideally without requiring any additional effort on the part of the researchers. Further, related data content must be grouped together for KB user convenience. Initially SNL used whatever tools were already available for these tasks, and did the other tasks manually. The ever-growing volume of KB data to be merged, as well as a need for more control of merging utilities, led SNL to develop our own java software package, consisting of a low- level database utility library upon which we have built several

  17. Transition to knowledge-based economy in Saudi Arabia

    Nour, S.

    2014-01-01

    This paper discusses the progress in transition to knowledge-based economy in Saudi Arabia. As for the methodology, this paper uses updated secondary data obtained from different sources. It uses both descriptive and comparative approaches and uses the OECD definition of knowledge-based economy and

  18. Applying Knowledge-Based Techniques to Software Development.

    Harandi, Mehdi T.

    1986-01-01

    Reviews overall structure and design principles of a knowledge-based programming support tool, the Knowledge-Based Programming Assistant, which is being developed at University of Illinois Urbana-Champaign. The system's major units (program design program coding, and intelligent debugging) and additional functions are described. (MBR)

  19. Toffler's Powershift: Creating New Knowledge Bases in Higher Education.

    Powers, Patrick James

    This paper examines the creation of new knowledge bases in higher education in light of the ideas of Alvin Toffler, whose trilogy "Future Shock" (1970), "The Third Wave" (1980), and "Powershift" (1990) focus on the processes, directions, and control of change, respectively. It discusses the increasingly important role that knowledge bases, the…

  20. Knowledge-Based Entrepreneurship in a Boundless Research System

    Dell'Anno, Davide

    2008-01-01

    International entrepreneurship and knowledge-based entrepreneurship have recently generated considerable academic and non-academic attention. This paper explores the "new" field of knowledge-based entrepreneurship in a boundless research system. Cultural barriers to the development of business opportunities by researchers persist in some academic…

  1. A software architecture for knowledge-based systems

    Fensel, D; Groenboom, R

    1999-01-01

    The paper introduces a software architecture for the specification and verification of knowledge-based systems combining conceptual and formal techniques. Our focus is component-based specification enabling their reuse. We identify four elements of the specification of a knowledge-based system: a ta

  2. CHANGES AND CHALLENGES OF THE CONTEMPORARY KNOWLEDGE BASED ECONOMY

    2012-01-01

    This paper aims to present the knowledge based economy as a pillar of the knowledge society, due to the fact that in the past decades there has been a series of transitions of the global economy from the development based on traditional factors to a knowledge based economy, in which intangible goods are of vital importance.

  3. Knowledge-Based Classification in Automated Soil Mapping

    ZHOU BIN; WANG RENCHAO

    2003-01-01

    A machine-learning approach was developed for automated building of knowledge bases for soil resourcesmapping by using a classification tree to generate knowledge from training data. With this method, buildinga knowledge base for automated soil mapping was easier than using the conventional knowledge acquisitionapproach. The knowledge base built by classification tree was used by the knowledge classifier to perform thesoil type classification of Longyou County, Zhejiang Province, China using Landsat TM bi-temporal imagesand GIS data. To evaluate the performance of the resultant knowledge bases, the classification results werecompared to existing soil map based on a field survey. The accuracy assessment and analysis of the resultantsoil maps suggested that the knowledge bases built by the machine-learning method was of good quality formapping distribution model of soil classes over the study area.

  4. Conceptual framework for knowledge-based learning environments

    Mustafa Alshawi

    2004-01-01

    The traditional concept of "one-size-fits-all" educational and training programmes is no more fully adequate to meet the increasing demand worldwide. E-learning, as an alternative approach to traditional face-toface education, is creating immense challenges for educational institutions to develop new approaches for the production and delivery of cost effective and efficient e-contents. Although, there have been many developments in web-based programmes, they have not fully attained their potential due to a variety of factors. These include:1 ) lack of exchangeability between learning materials, 2) delivery mechanisms incompatible with the pedagogical design, 3) low student interaction and insensitive learning processes, 4) absence of intelligent online programme advice and guidance, 5) inflexibility in meeting diverse needs, and 6) institutionally centred ineffective implementation strategies. This paper addresses the critical elements for successful delivery of e-learning environments and then focuses on proposing a framework for the development of an integrated knowledge-based learning environment which has the potential to producer cost effective and personalised training programmes.

  5. FROM TRADITIONAL ACCOUNTING TO KNOWLEDGE BASED ACCOUNTING ORGANIZATIONS

    NICOLETA RADNEANTU

    2010-01-01

    Full Text Available Nowadays, we may observe that the rules of traditional economy have changed. The new economy – the knowledge based economy determine also major change in organizations resources, structure, strategic objectives, departments, accounting, goods. In our research we want to underline how the accounting rules, regulations and paradigms have changed to cope with political, economic and social challenges, as well as to the emergence of knowledge based organization. We also try to find out where Romanian accounting is on the hard road of evolution from traditional to knowledge based.

  6. Vagueness of concepts: an issue in knowledge-based decision support systems for design?

    Galle, Per

    1998-01-01

    Many of our everyday concepts are vague. It is next to impossible, for example, to state necessary and sufficient conditions for something to be a chair, or a building. This would appear to pose a potential problem for the construction of knowledge-based decision-support systems; notably systems ...

  7. Hospital Bioethics: A Beginning Knowledge Base for the Neonatal Social Worker.

    Silverman, Ed

    1992-01-01

    Notes that life-saving advances in medicine have created difficult ethical and legal dilemmas for health care professionals. Presents beginning knowledge base for bioethical practice, especially in hospital neonatal units. Outlines key elements of bioethical decision making and examines potential social work role from clinical and organizational…

  8. Knowledge-Based Systems for the Assessment and Management of Bridge Structures

    Miyamoto, A.; Thoft-Christensen, Palle; Yan, B.

    2004-01-01

    . The aim of this paper is to summarize the finding of up-to-date research articles concerning the application of knowledge-based systems to assessment and management of structures and to illustrate the potential of such systems in the structural engineering. Two modern bridge management systems (BMS...

  9. RESEARCH ON KNOWLEDGE-BASED CAPP SYSTEM FOR ROTOR FORGING

    Wang Leigang; Deng Dongrnei; Liu Zhubai

    2000-01-01

    Guided by developing forging technology theory,designing rules on rotor forging process are summed up.Knowledge-based CAPP system for rotor forging is created.The system gives a rational and optimum process.

  10. Merging Knowledge Bases in Possibilistic Logic by Lexicographic Aggregation

    Qi, Guilin; Liu, Weiru; Bell, David A

    2012-01-01

    Belief merging is an important but difficult problem in Artificial Intelligence, especially when sources of information are pervaded with uncertainty. Many merging operators have been proposed to deal with this problem in possibilistic logic, a weighted logic which is powerful for handling inconsistency and deal- ing with uncertainty. They often result in a possibilistic knowledge base which is a set of weighted formulas. Although possibilistic logic is inconsistency tolerant, it suers from the well-known "drowning effect". Therefore, we may still want to obtain a consistent possi- bilistic knowledge base as the result of merg- ing. In such a case, we argue that it is not always necessary to keep weighted informa- tion after merging. In this paper, we define a merging operator that maps a set of pos- sibilistic knowledge bases and a formula rep- resenting the integrity constraints to a clas- sical knowledge base by using lexicographic ordering. We show that it satisfies nine pos- tulates that generalize basic...

  11. The Knowledge-Based Economy and the Triple Helix Model

    Leydesdorff, Loet

    2012-01-01

    1. Introduction - the metaphor of a "knowledge-based economy"; 2. The Triple Helix as a model of the knowledge-based economy; 3. Knowledge as a social coordination mechanism; 4. Neo-evolutionary dynamics in a Triple Helix of coordination mechanism; 5. The operation of the knowledge base; 6. The restructuring of knowledge production in a KBE; 7. The KBE and the systems-of-innovation approach; 8. The KBE and neo-evolutionary theories of innovation; 8.1 The construction of the evolving unit; 8.2 User-producer relations in systems of innovation; 8.3 'Mode-2' and the production of scientific knowledge; 8.4 A Triple Helix model of innovations; 9. Empirical studies and simulations using the TH model; 10. The KBE and the measurement; 10.1 The communication of meaning and information; 10.2 The expectation of social structure; 10.3 Configurations in a knowledge-based economy

  12. Splitting and Updating Hybrid Knowledge Bases (Extended Version)

    Slota, Martin; Swift, Terrance

    2011-01-01

    Over the years, nonmonotonic rules have proven to be a very expressive and useful knowledge representation paradigm. They have recently been used to complement the expressive power of Description Logics (DLs), leading to the study of integrative formal frameworks, generally referred to as hybrid knowledge bases, where both DL axioms and rules can be used to represent knowledge. The need to use these hybrid knowledge bases in dynamic domains has called for the development of update operators, which, given the substantially different way Description Logics and rules are usually updated, has turned out to be an extremely difficult task. In [SL10], a first step towards addressing this problem was taken, and an update operator for hybrid knowledge bases was proposed. Despite its significance -- not only for being the first update operator for hybrid knowledge bases in the literature, but also because it has some applications - this operator was defined for a restricted class of problems where only the ABox was all...

  13. RETRIEVAL TIME RESEARCH IN TEMPORAL KNOWLEDGE BASES WITH DYNAMIC CONTENT

    J. A. Koroleva

    2015-07-01

    Full Text Available Results of retrieval time research of actual data effectiveness search in temporal knowledge bases built in the basis of state of events have been proposed. This type of knowledge base gives the possibility for quick access to relevant states as well as for history based on events chronology. It is shown that data storage for deep retrospective increases significantly the search time due to the growth of the decision tree. The search time for temporal knowledge bases depending on the average number of events prior to the current state has been investigated. Experimental results confirm the advantage of knowledge bases in the basis of state of events over traditional methods for design of intelligent systems.

  14. Knowledge Base Grid: A Generic Grid Architecture for Semantic Web

    WU ZhaoHui(吴朝晖); CHEN HuaJun(陈华钧); XU JieFeng(徐杰锋)

    2003-01-01

    The emergence of semantic web will result in an enormous amount of knowledge base resources on the web. In this paper, a generic Knowledge Base Grid Architecture (KB-Grid)for building large-scale knowledge systems on the semantic web is presented. KB-Grid suggests a paradigm that emphasizes how to organize, discover, utilize, and manage web knowledge base resources. Four principal components are under development: a semantic browser for retrieving and browsing semantically enriched information, a knowledge server acting as the web container for knowledge, an ontology server for managing web ontologies, and a knowledge base directory server acting as the registry and catalog of KBs. Also a referential model of knowledge service and the mechanisms required for semantic communication within KB-Grid are defined. To verify the design rationale underlying the KB-Grid, an implementation of Traditional Chinese Medicine(TCM) is described.

  15. XML-Based SHINE Knowledge Base Interchange Language

    James, Mark; Mackey, Ryan; Tikidjian, Raffi

    2008-01-01

    The SHINE Knowledge Base Interchange Language software has been designed to more efficiently send new knowledge bases to spacecraft that have been embedded with the Spacecraft Health Inference Engine (SHINE) tool. The intention of the behavioral model is to capture most of the information generally associated with a spacecraft functional model, while specifically addressing the needs of execution within SHINE and Livingstone. As such, it has some constructs that are based on one or the other.

  16. Knowledge Society, General Framework for Knowledge Based Economy

    2011-01-01

    This paper tries to present the existent relation between knowledge society and knowledge based economy. We will identify the main pillars of knowledge society and present their importance for the development of knowledge societies. Further, we will present two perspectives over knowledge societies, respectively science and learning perspectives, that directly affects knowledge based economies. At the end, we will conclude by identifying some important questions ...

  17. KNOWLEDGE SOCIETY, GENERAL FRAMEWORK FOR KNOWLEDGE BASED ECONOMY

    Dragos CRISTEA

    2011-03-01

    Full Text Available This paper tries to present the existent relation between knowledge society and knowledge based economy. We will identify the main pillars of knowledge society and present their importance for the development of knowledge societies. Further, we will present two perspectives over knowledge societies, respectively science and learning perspectives, that directly affects knowledge based economies. At the end, we will conclude by identifying some important questions that must be answered regarding this new social paradigm.

  18. The process for integrating the NNSA knowledge base.

    Wilkening, Lisa K.; Carr, Dorthe Bame; Young, Christopher John; Hampton, Jeff (Lockheed Martin Mission Services, Houston, TX); Martinez, Elaine

    2009-03-01

    From 2002 through 2006, the Ground Based Nuclear Explosion Monitoring Research & Engineering (GNEMRE) program at Sandia National Laboratories defined and modified a process for merging different types of integrated research products (IRPs) from various researchers into a cohesive, well-organized collection know as the NNSA Knowledge Base, to support operational treaty monitoring. This process includes defining the KB structure, systematically and logically aggregating IRPs into a complete set, and verifying and validating that the integrated Knowledge Base works as expected.

  19. BUPT_PRIS at TREC 2014 Knowledge Base Acceleration Track

    2014-11-01

    Abstract This paper describes the system in Vital Filtering and Streaming Slot Filling task of TREC 2014 Knowledge Base Acceleration Track. In the Vital ...can help update a knowledge base like Wikipedia. The KBA2014 includes three tasks: Vital Filtering(VF) task ,Streaming Slot Filling task and Accelerate...Create. The third task is new open track which is not evaluated. For the Vital Filtering task, given a fixed list of target entities from

  20. A Knowledge-Based Manufacturing System Using OSAM

    Desai, D. K.; Pal, S.; Navathe, S. B.; Doty, K. L.

    1989-02-01

    Manufacturing industries have greatly emphasized the need to "integrate" various manufacturing functions-Design, Planning, and Business Operations- into a unified and well coordinated system, so as to increase productivity. In order to achieve this goal, the various CAD/CAM systems must have a common engineering and manufacturing knowledge base. We propose a Knowledge Based Manufacturing System(KBMS) that will help the Manufacturing Engineer(ME) to directly model the workcell environment. The system consists of two main modules: the Workcell Modelling Facility and the Task Planner. The Workcell Modelling Facility helps the ME to create workcell models using the workcell components, product parts, and manufacturing operations contained in a pre-defined knowledge base. The system also allows the manufacturing engineer to add information to the existing knowledge bases schemas. The Task Planner accesses these knowledge bases to generate a network of proposed actions from a given production goal. Integration of the proposed KBMS with a Geometric Modelling System will provide the ME with a tool to perform off-line animation of the Manufacturing Process in a particular workcell model. A prototype KBMS is currently being implemented at the University of Florida using the Object-oriented Semantic Association Model(OSAM*) as the underlying data model for the Knowledge Bases. OSAM* provides the object-oriented features of inheritance and encapsulation of data, as well as the ability to represent complex relationships between object classes in semantic nets.

  1. Localized Knowledge based System for Human Disease Diagnosis

    Adane Nega Tarekegn

    2016-03-01

    Full Text Available —Knowledge based system can be designed to solve complex medical problems. It incorporates the expert‟s knowledge that has been coded into facts, rules, heuristics and procedures. Incorporation of local languages with the knowledge based system allows endusers communicate with the system in a simpler and easier way. In this study a localized knowledge based system is developed for TB disease diagnosis using Ethiopian national language. To develop the localized knowledge based system, tacit knowledge is acquired from domain experts using interviewing techniques and explicit knowledge is captured from documented sources using relevant documents analysis method. Then the acquired knowledge is modeled using decision tree structure that represents concepts and procedures involved in diagnosis of disease. Production rules are used to represent domain knowledge. The localized knowledge based system is developed using SWI Prolog version 6.4.1 programming language. Prolog supports natural language processing feature to localize the system. As a result, the system is implemented using Amharic language (the national language of Ethiopia user interface. With Localization, users at remote areas and users who are not good in foreign languages are benefited enormously. The system is tested and evaluated to ensure that whether the performance of the system is accurate and the system is usable by physicians and patients. The average performance of the localized knowledge based system has registered 81.5%.

  2. Role of Knowledge Based Communities in Knowledge Process

    Sebastian Ion CEPTUREANU

    2015-12-01

    Full Text Available In the new economy, knowledge is an essential component of economic and social systems. The organizational focus has to be on building knowledge-based management, development of human resource and building intellectual capital capabilities. Knowledge-based management is defined, at company level, by economic processes that emphasize creation, selling, buying, learning, storing, developing, sharing and protection of knowledge as a decisive condition for profit and long-term sustainability of the company. Hence, knowledge is, concurently, according to a majoritiy of specialists, raw material, capital, product and an essential input. Knowledge-based communities are one of the main constituent elements of a framework for knowledge based management. These are peer networks consisting of practitioners within an organization, supporting each other to perform better through the exchange and sharing of knowledge. Some large companies have contributed or supported the establishment of numerous communities of practice, some of which may have several thousand members. They operate in different ways, are of different sizes, have different areas of interest and addresses knowledge at different levels of its maturity. This article examines the role of knowledge-based communities from the perspective of knowledge based management, given that the arrangements for organizational learning, creating, sharing, use of knowledge within organizations become more heterogeneous and take forms more difficult to predict by managers and specialists.

  3. Keyword Query over Error-Tolerant Knowledge Bases

    Yu-Rong Cheng; Ye Yuan; Jia-Yu Li; Lei Chen; Guo-Ren Wang

    2016-01-01

    With more and more knowledge provided by WWW, querying and mining the knowledge bases have attracted much research attention. Among all the queries over knowledge bases, which are usually modelled as graphs, a keyword query is the most widely used one. Although the problem of keyword query over graphs has been deeply studied for years, knowledge bases, as special error-tolerant graphs, lead to the results of the traditional defined keyword queries out of users’ satisfaction. Thus, in this paper, we define a new keyword query, called confident r-clique, specific for knowledge bases based on the r-clique definition for keyword query on general graphs, which has been proved to be the best one. However, as we prove in the paper, finding the confident r-cliques is #P-hard. We propose a filtering-and-verification framework to improve the search efficiency. In the filtering phase, we develop the tightest upper bound of the confident r-clique, and design an index together with its search algorithm, which suits the large scale of knowledge bases well. In the verification phase, we develop an efficient sampling method to verify the final answers from the candidates remaining in the filtering phase. Extensive experiments demonstrate that the results derived from our new definition satisfy the users’ requirement better compared with the traditional r-clique definition, and our algorithms are efficient.

  4. A Knowledge-based and Extensible Aircraft Conceptual Design Environment

    FENG Haocheng; LUO Mingqiang; LIU Hu; WU Zhe

    2011-01-01

    Design knowledge and experience are the bases to carry out aircraft conceptual design tasks due to the high complexity and integration of the tasks during this phase.When carrying out the same task,different designers may need individual strategies to fulfill their own demands.A knowledge-based and extensible method in building aircraft conceptual design systems is studied considering the above requirements.Based on the theory,a knowledge-based aircraft conceptual design environment,called knowledge-based and extensible aircraft conceptual design environment (KEACDE) with open architecture,is built as to enable designers to wrap add-on extensions and make their own aircraft conceptual design systems.The architecture,characteristics and other design and development aspects of KEACDE are discussed.A civil airplane conceptual design system (CACDS) is achieved using KEACDE.Finally,a civil airplane design case is presented to demonstrate the usability and effectiveness of this environment.

  5. Building a knowledge base to support a digital library.

    Mendonça, E A; Cimino, J J

    2001-01-01

    As part of an effort to develop a knowledge base to support searching online medical literature according to individual needs, we have studied the possibility of using the co-occurrence of MeSH terms in MEDLINE citations associated with the search strategies optimal for evidence based medicine to automated construction of a knowledge base. This study evaluates the relevance of the relationships between the semantic relationship pairs generated by the process, and the clinical validity of the semantic types involved in the process. From the semantic pairs proposed by our method, a group of clinicians judge sixty percent to be relevant. The remaining forty percent included semantic types considered unimportant by clinicians. The knowledge extraction method showed reasonable results. We believe it can be appropriate for the task of retrieving information from the medical record in order to guide users during a searching and retrieval process. Future directions include the validation of the knowledge, based on an evaluation of system performance.

  6. THE ELECTRONIC MARKET LIBERALIZATION IN A KNOWLEDGE BASED ECONOMY

    Stegăroiu Carina-Elena

    2013-04-01

    Full Text Available In the current context of economic globalization and the advent of the virtual business environment, organizations have registered profound transformations that force companies to reconsider their strategic objectives, especially taking into consideration the opportunities created by the new information and communication technologies. Regardless of their reactive or proactive strategies when facing the changes in the competition, most companies in the developed countries and more and more of the Romanian enterprises are interested in developing technologies and information systems at a intra, inter and extra organizational level, with integrated traits, which are capable to sustain both the managerial process and the traditional functions of the organization. That being said, we herald now the expansion of the electronic commerce or eCommerce, which represents the automatization of the commercial transaction by using information systems and communication technologies. Developing an eCommerce system based on a business-to-business application consists of de-structuring the chain of value in managerial processes and then re-structuring it in order to identify the areas that can be made efficient through electronic means. This study is meant to aid the development of existing models by developing the services in certain less accessible to electronic commerce areas of a knowledge-based economy. As it stands, electronic commerce offers the opportunity of selling products world wide and this increasing the number of potential clients by eliminating the geographical barriers between buyers and seller. Opting for electronic commerce is a solution when the company wants to diversify its services and when it wants to reduce market related costs.

  7. Arranging ISO 13606 archetypes into a knowledge base.

    Kopanitsa, Georgy

    2014-01-01

    To enable the efficient reuse of standard based medical data we propose to develop a higher level information model that will complement the archetype model of ISO 13606. This model will make use of the relationships that are specified in UML to connect medical archetypes into a knowledge base within a repository. UML connectors were analyzed for their ability to be applied in the implementation of a higher level model that will establish relationships between archetypes. An information model was developed using XML Schema notation. The model allows linking different archetypes of one repository into a knowledge base. Presently it supports several relationships and will be advanced in future.

  8. Online Knowledge-Based Model for Big Data Topic Extraction.

    Khan, Muhammad Taimoor; Durrani, Mehr; Khalid, Shehzad; Aziz, Furqan

    2016-01-01

    Lifelong machine learning (LML) models learn with experience maintaining a knowledge-base, without user intervention. Unlike traditional single-domain models they can easily scale up to explore big data. The existing LML models have high data dependency, consume more resources, and do not support streaming data. This paper proposes online LML model (OAMC) to support streaming data with reduced data dependency. With engineering the knowledge-base and introducing new knowledge features the learning pattern of the model is improved for data arriving in pieces. OAMC improves accuracy as topic coherence by 7% for streaming data while reducing the processing cost to half.

  9. Study on Knowledge -based Intelligent Fault Diagnosis of Hydraulic System

    Xuexia Liu

    2012-12-01

    Full Text Available A general framework of hydraulic fault diagnosis system was studied. It consisted of equipment knowledge bases, real-time databases, fusion reasoning module, knowledge acquisition module and so on. A tree-structure model of fault knowledge was established. Fault nodes knowledge was encapsulated by object-oriented technique. Complete knowledge bases were made including fault bases and diagnosis bases. It could describe the fault positions, the structure of fault, cause-symptom relationships, diagnosis principles and other knowledge. Taking the fault of left and right lifting oil cylinder out of sync for example, the diagnostic results show that the methods were effective.

  10. "Chromosome": a knowledge-based system for the chromosome classification.

    Ramstein, G; Bernadet, M

    1993-01-01

    Chromosome, a knowledge-based analysis system has been designed for the classification of human chromosomes. Its aim is to perform an optimal classification by driving a tool box containing the procedures of image processing, pattern recognition and classification. This paper presents the general architecture of Chromosome, based on a multiagent system generator. The image processing tool box is described from the met aphasic enhancement to the fine classification. Emphasis is then put on the knowledge base intended for the chromosome recognition. The global classification process is also presented, showing how Chromosome proceeds to classify a given chromosome. Finally, we discuss further extensions of the system for the karyotype building.

  11. Online Knowledge-Based Model for Big Data Topic Extraction

    Khan, Muhammad Taimoor; Durrani, Mehr; Khalid, Shehzad; Aziz, Furqan

    2016-01-01

    Lifelong machine learning (LML) models learn with experience maintaining a knowledge-base, without user intervention. Unlike traditional single-domain models they can easily scale up to explore big data. The existing LML models have high data dependency, consume more resources, and do not support streaming data. This paper proposes online LML model (OAMC) to support streaming data with reduced data dependency. With engineering the knowledge-base and introducing new knowledge features the learning pattern of the model is improved for data arriving in pieces. OAMC improves accuracy as topic coherence by 7% for streaming data while reducing the processing cost to half. PMID:27195004

  12. Mobile Communication and Work Practices in Knowledge-based Organizations

    Pertti Hurme

    2005-01-01

    Full Text Available This paper examines the role of mobile communication, mobile tools and work practices in the context of organizations, especially knowledge-based organizations. Today, organizations are highly complex and diverse. Not surprisingly, various solutions to incorporating mobile tools and mobile communication in organizations have been devised. Challenges to technological development and research on mobile communication are presented.

  13. Mobile Communication and Work Practices in Knowledge-based Organizations

    Pertti Hurme

    2005-01-01

    This paper examines the role of mobile communication, mobile tools and work practices in the context of organizations, especially knowledge-based organizations. Today, organizations are highly complex and diverse. Not surprisingly, various solutions to incorporating mobile tools and mobile communication in organizations have been devised. Challenges to technological development and research on mobile communication are presented.

  14. Identification of Managerial Competencies in Knowledge-based Organizations

    Königová Martina

    2012-03-01

    Full Text Available Managerial competencies identification and development are important tools of human resources management that is aimed at achieving strategic organizational goals. Due to current dynamic development and changes, more and more attention is being paid to the personality of managers and their competencies, since they are viewed as important sources of achieving a competitive advantage. The objective of this article is to identify managerial competencies in the process of filling vacant working positions in knowledge-based organizations in the Czech Republic. The objective was determined with reference to the Czech Science Foundation GACR research project which focuses on the identification of managerial competencies in knowledge-based organizations in the Czech Republic. This identification within the frame of the research project is primarily designed and subsequently realised on the basis of content analysis of media communications such as advertisements - a means through which knowledge- based organizations search for suitable candidates for vacant managerial positions. The first part of the article deals with theoretical approaches to knowledge-based organizations and issues on competencies. The second part evaluates the outcomes of the survey carried out, and also summarizes the basic steps of the application of competencies. The final part summarizes the benefits and difficulties of applying the competency-based approach as a tool of efficient management of organizations for the purpose of achieving a competitive advantage.

  15. Korea : Transition to a Knowledge-Based Economy

    World Bank

    2000-01-01

    The report reviews the economic transition in Korea, summarizing the challenge of the knowledge revolution, to the country's development strategy, and the analytical, and policy framework for a knowledge-based economy. It explores the needs to increase overall productivity, and areas of relative inefficiency, namely, inadequate conditions for generation of knowledge, and information; insuf...

  16. Grey Documentation as a Knowledge Base in Social Work.

    Berman, Yitzhak

    1994-01-01

    Defines grey documentation as documents issued informally and not available through normal channels and discusses the role that grey documentation can play in the social work knowledge base. Topics addressed include grey documentation and science; social work and the empirical approach in knowledge development; and dissemination of grey…

  17. Dynamic Strategic Planning in a Professional Knowledge-Based Organization

    Olivarius, Niels de Fine; Kousgaard, Marius Brostrom; Reventlow, Susanne; Quelle, Dan Grevelund; Tulinius, Charlotte

    2010-01-01

    Professional, knowledge-based institutions have a particular form of organization and culture that makes special demands on the strategic planning supervised by research administrators and managers. A model for dynamic strategic planning based on a pragmatic utilization of the multitude of strategy models was used in a small university-affiliated…

  18. Knowledge-Based Hierarchies: Using Organizations to Understand the Economy

    Garicano, Luis; Rossi-Hansberg, Esteban

    2015-01-01

    Incorporating the decision of how to organize the acquisition, use, and communication of knowledge into economic models is essential to understand a wide variety of economic phenomena. We survey the literature that has used knowledge-based hierarchies to study issues such as the evolution of wage inequality, the growth and productivity of firms,…

  19. Knowledge based support for multiagent control and automation

    Saleem, Arshad; Lind, Morten

    2011-01-01

    This paper presents a mechanism for developing knowledge based support in multiagent based control and diagnosis. In particular it presents a way for autonomous agents to utilize a qualitative means-ends based model for reasoning about control situations. The proposed mechanism have been used in ...

  20. Value Creation in the Knowledge-Based Economy

    Liu, Fang-Chun

    2013-01-01

    Effective investment strategies help companies form dynamic core organizational capabilities allowing them to adapt and survive in today's rapidly changing knowledge-based economy. This dissertation investigates three valuation issues that challenge managers with respect to developing business-critical investment strategies that can have…

  1. Document Retrieval Using A Fuzzy Knowledge-Based System

    Subramanian, Viswanath; Biswas, Gautam; Bezdek, James C.

    1986-03-01

    This paper presents the design and development of a prototype document retrieval system using a knowledge-based systems approach. Both the domain-specific knowledge base and the inferencing schemes are based on a fuzzy set theoretic framework. A query in natural language represents a request to retrieve a relevant subset of documents from a document base. Such a query, which can include both fuzzy terms and fuzzy relational operators, is converted into an unambiguous intermediate form by a natural language interface. Concepts that describe domain topics and the relationships between concepts, such as the synonym relation and the implication relation between a general concept and more specific concepts, have been captured in a knowledge base. The knowledge base enables the system to emulate the reasoning process followed by an expert, such as a librarian, in understanding and reformulating user queries. The retrieval mechanism processes the query in two steps. First it produces a pruned list of documents pertinent to the query. Second, it uses an evidence combination scheme to compute a degree of support between the query and individual documents produced in step one. The front-end component of the system then presents a set of document citations to the user in ranked order as an answer to the information request.

  2. Knowledge-based society, peer production and the common good

    Orsi, Cosma

    2009-01-01

    This article investigates the societal conditions that might help the establishment of peer-to-peer modes of production. First, the context within which such a new model is emerging - the neoliberal knowledge-based-societies - is described, and its shortcomings unveiled; and second, a robust...

  3. CACTUS: Command and Control Training Using Knowledge-Based Simulations

    Hartley, Roger; Ravenscroft, Andrew; Williams, R. J.

    2008-01-01

    The CACTUS project was concerned with command and control training of large incidents where public order may be at risk, such as large demonstrations and marches. The training requirements and objectives of the project are first summarized justifying the use of knowledge-based computer methods to support and extend conventional training…

  4. Representability in DL-Lite_R knowledge base exchange

    Arenas, M.; Botoeva, E.; Calvanese, D.; Ryzhikov, V.; Sherkhonov, E.

    2012-01-01

    Knowledge base exchange can be considered as a generalization of data exchange in which the aim is to exchange between a source and a target connected through mappings, not only explicit knowledge, i.e., data, but also implicit knowledge in the form of axioms. Such problem has been investigated rece

  5. Reducing a Knowledge-Base Search Space When Data Are Missing

    James, Mark

    2007-01-01

    This software addresses the problem of how to efficiently execute a knowledge base in the presence of missing data. Computationally, this is an exponentially expensive operation that without heuristics generates a search space of 1 + 2n possible scenarios, where n is the number of rules in the knowledge base. Even for a knowledge base of the most modest size, say 16 rules, it would produce 65,537 possible scenarios. The purpose of this software is to reduce the complexity of this operation to a more manageable size. The problem that this system solves is to develop an automated approach that can reason in the presence of missing data. This is a meta-reasoning capability that repeatedly calls a diagnostic engine/model to provide prognoses and prognosis tracking. In the big picture, the scenario generator takes as its input the current state of a system, including probabilistic information from Data Forecasting. Using model-based reasoning techniques, it returns an ordered list of fault scenarios that could be generated from the current state, i.e., the plausible future failure modes of the system as it presently stands. The scenario generator models a Potential Fault Scenario (PFS) as a black box, the input of which is a set of states tagged with priorities and the output of which is one or more potential fault scenarios tagged by a confidence factor. The results from the system are used by a model-based diagnostician to predict the future health of the monitored system.

  6. Adaptive Fuzzy Knowledge Based Controller for Autonomous Robot Motion Control

    Mbaitiga Zacharie

    2010-01-01

    Full Text Available Problem statement: Research into robot motion control offers research opportunities that will change scientists and engineers for year to come. Autonomous robots are increasingly evident in many aspects of industry and everyday life and a robust robot motion control can be used for homeland security and many consumer applications. This study discussed the adaptive fuzzy knowledge based controller for robot motion control in indoor and outdoor environment. Approach: The proposed method consisted of two components: the process monitor that detects changes in the process characteristics and the adaptation mechanism that used information passed to it by the process monitor to update the controller parameters. Results: Experimental evaluation had been done in both indoor and outdoor environment where the robot communicates with the base station through its Wireless fidelity antenna and the performance monitor used a set of five performance criteria to access the fuzzy knowledge based controller. Conclusion: The proposed method had been found to be robust.

  7. Building a Large-Scale Knowledge Base for Machine Translation

    Knight, K; Knight, Kevin; Luk, Steve K.

    1994-01-01

    Knowledge-based machine translation (KBMT) systems have achieved excellent results in constrained domains, but have not yet scaled up to newspaper text. The reason is that knowledge resources (lexicons, grammar rules, world models) must be painstakingly handcrafted from scratch. One of the hypotheses being tested in the PANGLOSS machine translation project is whether or not these resources can be semi-automatically acquired on a very large scale. This paper focuses on the construction of a large ontology (or knowledge base, or world model) for supporting KBMT. It contains representations for some 70,000 commonly encountered objects, processes, qualities, and relations. The ontology was constructed by merging various online dictionaries, semantic networks, and bilingual resources, through semi-automatic methods. Some of these methods (e.g., conceptual matching of semantic taxonomies) are broadly applicable to problems of importing/exporting knowledge from one KB to another. Other methods (e.g., bilingual match...

  8. The Underdetermined Knowledge-Based Theory of the MNC

    Fransson, Anders; Håkanson, Lars; W. Liesch, Peter

    2011-01-01

    In this note we revisit two core propositions of the knowledge-based view of the firm found in the seminal work of Kogut and Zander: (1) that multinational corporations (MNCs) exist because transfers and re-combinations of knowledge occur more efficiently inside MNCs than between MNCs and third p...... of superior knowledge governance. We question these conclusions, arguing that firms are but one of the many types of “epistemic communities” possessing and nurturing procedural norms, identity, and the cognitive, linguistic and reflexive attributes conducive to efficient exchange and re......-combination of knowledge among their members. Important insights may be gained by applying the concept of epistemic communities implicit in the knowledge-based perspective beyond firm-level hierarchies....

  9. A knowledge-based system for prototypical reasoning

    Lieto, Antonio; Minieri, Andrea; Piana, Alberto; Radicioni, Daniele P.

    2015-04-01

    In this work we present a knowledge-based system equipped with a hybrid, cognitively inspired architecture for the representation of conceptual information. The proposed system aims at extending the classical representational and reasoning capabilities of the ontology-based frameworks towards the realm of the prototype theory. It is based on a hybrid knowledge base, composed of a classical symbolic component (grounded on a formal ontology) with a typicality based one (grounded on the conceptual spaces framework). The resulting system attempts to reconcile the heterogeneous approach to the concepts in Cognitive Science with the dual process theories of reasoning and rationality. The system has been experimentally assessed in a conceptual categorisation task where common sense linguistic descriptions were given in input, and the corresponding target concepts had to be identified. The results show that the proposed solution substantially extends the representational and reasoning 'conceptual' capabilities of standard ontology-based systems.

  10. Managing Project Landscapes in Knowledge-Based Enterprises

    Stantchev, Vladimir; Franke, Marc Roman

    Knowledge-based enterprises are typically conducting a large number of research and development projects simultaneously. This is a particularly challenging task in complex and diverse project landscapes. Project Portfolio Management (PPM) can be a viable framework for knowledge and innovation management in such landscapes. A standardized process with defined functions such as project data repository, project assessment, selection, reporting, and portfolio reevaluation can serve as a starting point. In this work we discuss the benefits a multidimensional evaluation framework can provide for knowledge-based enterprises. Furthermore, we describe a knowledge and learning strategy and process in the context of PPM and evaluate their practical applicability at different stages of the PPM process.

  11. Knowledge based economy: The role of expert diaspora

    Filipović Jovan

    2012-01-01

    Full Text Available Diasporas stand out as an economic or cultural avant-garde of transformation. This is especially true for academic and other intellectual Diaspora communities, because science and knowledge creation are global enterprises. Proclivity of knowledge workers to move in order to improve and absorb transnational knowledge through Diaspora networks might be an essential quality of an emerging national economy of a developing country. The article treats the role of expert Diaspora in knowledge based economy, innovation and talent management. Besides presenting the essentials of knowledge based economy and innovation, it discusses the role of expert Diaspora in science, technology and innovation (STI capacity building. Also, the article emphasizes the importance of leadership for talent and its implications for Diaspora. Using WEF statistics, it illustrates negative consequences of the sad policy of “Chaseaway the brightest and the best” for innovative capacity, competitiveness, and prosperity of nations.

  12. Research on Knowledge-based Connecting Elements Modeling

    2002-01-01

    Steps of manipulation is required to complete the m od eling of the connection elements such as bolt, pin and the like in commerce CAD system. It leads to low efficiency, difficulty to assure the relative position, impossibility to express rules and knowledge. Based on the inner character analy sis of interpart, detail modification and assembly relation of mechanical connec ting element, the idea, which extends the feature modeling of part to the interp art feature modeling for assembly purpose, is presen...

  13. PEST: A Knowledge Based System for Product Promotions

    Curtis, Tony

    1994-01-01

    In this paper we address the issues involved in developing a knowledge based system (KBS) [Jac90], [Fro86] for constructing promotions of various kinds of produce within supermarkets [R.J89]. We are currently working with a large retail company which supplies both expertise and sample data. Specifically, the system under development is to be used to determine the promotional layout and `worth'' of promotions within the fresh produce section, i.e. vegetables, salads and fruit. `Worth'' transla...

  14. Current and future trends in metagenomics : Development of knowledge bases

    Mori, Hiroshi; Yamada, Takuji; Kurokawa, Ken

    Microbes are essential for every part of life on Earth. Numerous microbes inhabit the biosphere, many of which are uncharacterized or uncultivable. They form a complex microbial community that deeply affects against surrounding environments. Metagenome analysis provides a radically new way of examining such complex microbial community without isolation or cultivation of individual bacterial community members. In this article, we present a brief discussion about a metagenomics and the development of knowledge bases, and also discuss about the future trends in metagenomics.

  15. ISPE: A knowledge-based system for fluidization studies

    Reddy, S.

    1991-01-01

    Chemical engineers use mathematical simulators to design, model, optimize and refine various engineering plants/processes. This procedure requires the following steps: (1) preparation of an input data file according to the format required by the target simulator; (2) excecuting the simulation; and (3) analyzing the results of the simulation to determine if all specified goals'' are satisfied. If the goals are not met, the input data file must be modified and the simulation repeated. This multistep process is continued until satisfactory results are obtained. This research was undertaken to develop a knowledge based system, IPSE (Intelligent Process Simulation Environment), that can enhance the productivity of chemical engineers/modelers by serving as an intelligent assistant to perform a variety tasks related to process simulation. ASPEN, a widely used simulator by the US Department of Energy (DOE) at Morgantown Energy Technology Center (METC) was selected as the target process simulator in the project. IPSE, written in the C language, was developed using a number of knowledge-based programming paradigms: object-oriented knowledge representation that uses inheritance and methods, rulebased inferencing (includes processing and propagation of probabilistic information) and data-driven programming using demons. It was implemented using the knowledge based environment LASER. The relationship of IPSE with the user, ASPEN, LASER and the C language is shown in Figure 1.

  16. Knowledge-based Approach for Event Extraction from Arabic Tweets

    Mohammad AL-Smadi

    2016-06-01

    Full Text Available Tweets provide a continuous update on current events. However, Tweets are short, personalized and noisy, thus raises more challenges for event extraction and representation. Extracting events out of Arabic tweets is a new research domain where few examples – if any – of previous work can be found. This paper describes a knowledge-based approach for fostering event extraction out of Arabic tweets. The approach uses an unsupervised rule-based technique for event extraction and provides a named entity disambiguation of event related entities (i.e. person, organization, and location. Extracted events and their related entities are populated to the event knowledge base where tagged tweets’ entities are linked to their corresponding entities represented in the knowledge base. Proposed approach was evaluated on a dataset of 1K Arabic tweets covering different types of events (i.e. instant events and interval events. Results show that the approach has an accuracy of, 75.9% for event trigger extraction, 87.5% for event time extraction, and 97.7% for event type identification.

  17. COMPETITIVE INTELLIGENCE IN THE KNOWLEDGE-BASED ORGANISATION

    Alina HAGIU

    2013-06-01

    Full Text Available Knowledge-based organizations (KBO are usually considered to be those whose product or service is knowledge-intensive. The characteristics of a KBO, however, go beyond product to include process, purpose and perspective. Process refers to an organization’s knowledge based activities and processes. Purpose refers to its mission and strategy. Perspective refers to the worldview and culture that influence and constrain an organization’s decisions and actions. In order for organizations to remain globally competitive, new tools for decision-making are required. Of these tools, it is internationally recognized that Competitive Intelligence (CI is fast becoming a norm rather than the exception to assist management with decision-making in the modern knowledge-based organization. The purpose of competitive intelligence in the organization is to support and lead to management decisions and action. There exists a clear and concise link between competitiveness and the process of innovation. Innovation depends on a number of factors for success. Of these factors, information and intelligence are believed to be primary drivers. The main purpose of this paper is to explain the need for competitive intelligence in KBO and to present a model for the implementation of competitive intelligence in the KBO and the involvement of the information professional in the competitive intelligence process.

  18. A common sense geographic knowledge base for GIR

    2008-01-01

    As background knowledge of geographic information retrieval (GIR),the gazetteers have their limitations. In this paper we propose to develop and implement a com-mon sense geographic knowledge base (CSGKB) instead of the gazetteers. We define that CSGKB is concerned with the representation of geographic knowledge in human brain and the simulation of geographic reasoning in daily life. Traditional geographic information system (GIS) is based on the model of map with its data based on geographic coordinates and its computation based on geometry. However,CSGKB,which is made up of geographic features and relationships and is based on qualitative spatio-temporal reasoning,can be viewed as the direct model of geographic world. This paper also discusses the characters of CSGKB and pre-sents its structure which is composed of knowledge base,inference engine,geo-graphic ontology and learner. The applications using CSGKB include geographic information retrieval (GIR),natural language processing (NLP),named entity rec-ognition (NER),Semantic Web,etc. At present,our work focuses on the design of geographic ontology and the implementation of the CSGKB knowledge base. In this paper we describe the CSGKB ontology structure,top ontology,geographic loca-tion ontology,spatial relationship ontology,and domain ontologies. Finally,we in-troduce the current state of implementation of CSGKB and give an outlook on our future researches.

  19. Using the DOE Knowledge Base for Special Event Analysis

    Armstrong, H.M.; Harris, J.M.; Young, C.J.

    1998-10-20

    The DOE Knowledge Base is a library of detailed information whose purpose is to support the United States National Data Center (USNDC) in its mission to monitor compliance with the Comprehensive Test Ban Treaty (CTBT). One of the important tasks which the USNDC must accomplish is to periodically perform detailed analysis of events of high interest, so-called "Special Events", to provide the national authority with information needed to make policy decisions. In this paper we investigate some possible uses of the Knowledge Base for Special Event Analysis (SEA), and make recommendations for improving Knowledge Base support for SEA. To analyze an event in detail, there are two basic types of data which must be used sensor-derived data (wave- forms, arrivals, events, etc.) and regiohalized contextual data (known sources, geological characteristics, etc.). Cur- rently there is no single package which can provide full access to both types of data, so for our study we use a separate package for each MatSeis, the Sandia Labs-developed MATLAB-based seismic analysis package, for wave- form data analysis, and ArcView, an ESRI product, for contextual data analysis. Both packages are well-suited to pro- totyping because they provide a rich set of currently available functionality and yet are also flexible and easily extensible, . Using these tools and Phase I Knowledge Base data sets, we show how the Knowledge Base can improve both the speed and the quality of SEA. Empirically-derived interpolated correction information can be accessed to improve both location estimates and associated error estimates. This information can in turn be used to identi~ any known nearby sources (e.g. mines, volcanos), which may then trigger specialized processing of the sensor data. Based on the location estimate, preferred magnitude formulas and discriminants can be retrieved, and any known blockages can be identified to prevent miscalculations. Relevant historic events can be identilled either by

  20. On PID Controller Design Using Knowledge Based Fuzzy System

    Jana Nowakova

    2012-01-01

    Full Text Available The designing of PID controllers is a frequently discussed problem. Many of design methods have been developed, classic (analytical tuning methods, optimization methods etc. or not so common fuzzy knowledge based methods which are designed to achieve good setpoint following, corresponding time response etc. In this case, the new way of designing PID controller parameters is created where the above mentioned knowledge system based on relations of Ziegler-Nichols design methods is used, more precisely the combination of the both Ziegler-Nichols methods. The proof of efficiency of a proposed method and a numerical experiment is presented.

  1. A Programmable Approach to Maintenance of a Finite Knowledge Base

    LUAN ShangMin(栾尚敏); DAI GuoZhong(戴国忠); LI Wei(李未)

    2003-01-01

    In this paper, we present a programmable method of revising a finite clause set. We first present a procedure whose formal parameters are a consistent clause set Γ and a clause A and whose output is a set of minimal subsets of Γ which are inconsistent with A. The maximal consistent subsets can be generated from all minimal inconsistent subsets. We develop a prototype system based on the above procedure, and discuss the implementation of knowledge base maintenance. At last, we compare the approach presented in this paper with other related approaches. The main characteristic of the approach is that it can be implemented by a computer program.

  2. Pre-service Teachers’ Knowledge Base at La Salle University

    Anderson Cárdenas

    2009-12-01

    Full Text Available This paper reports on the outcomes of a recent study carried out at Universidad de La Salle, which intended to describe and reflect upon what five (5 pre-service teachers from last semesters pointed out as the most important elements of knowledge base that teachers should know in order to become English language teachers. The instruments utilized in this qualitative research to gather information from the participants were students’ journals, a phenomenological interview and a survey. Results indicate that elements such as the language (English command, students’ preferences and realities, and the control of a class, among others, come to be essential areas teachers should be knowledgeable in.

  3. SAFOD Brittle Microstructure and Mechanics Knowledge Base (BM2KB)

    Babaie, Hassan A.; Broda Cindi, M.; Hadizadeh, Jafar; Kumar, Anuj

    2013-07-01

    Scientific drilling near Parkfield, California has established the San Andreas Fault Observatory at Depth (SAFOD), which provides the solid earth community with short range geophysical and fault zone material data. The BM2KB ontology was developed in order to formalize the knowledge about brittle microstructures in the fault rocks sampled from the SAFOD cores. A knowledge base, instantiated from this domain ontology, stores and presents the observed microstructural and analytical data with respect to implications for brittle deformation and mechanics of faulting. These data can be searched on the knowledge base‧s Web interface by selecting a set of terms (classes, properties) from different drop-down lists that are dynamically populated from the ontology. In addition to this general search, a query can also be conducted to view data contributed by a specific investigator. A search by sample is done using the EarthScope SAFOD Core Viewer that allows a user to locate samples on high resolution images of core sections belonging to different runs and holes. The class hierarchy of the BM2KB ontology was initially designed using the Unified Modeling Language (UML), which was used as a visual guide to develop the ontology in OWL applying the Protégé ontology editor. Various Semantic Web technologies such as the RDF, RDFS, and OWL ontology languages, SPARQL query language, and Pellet reasoning engine, were used to develop the ontology. An interactive Web application interface was developed through Jena, a java based framework, with AJAX technology, jsp pages, and java servlets, and deployed via an Apache tomcat server. The interface allows the registered user to submit data related to their research on a sample of the SAFOD core. The submitted data, after initial review by the knowledge base administrator, are added to the extensible knowledge base and become available in subsequent queries to all types of users. The interface facilitates inference capabilities in the

  4. Knowledge based systems advanced concepts, techniques and applications

    1997-01-01

    The field of knowledge-based systems (KBS) has expanded enormously during the last years, and many important techniques and tools are currently available. Applications of KBS range from medicine to engineering and aerospace.This book provides a selected set of state-of-the-art contributions that present advanced techniques, tools and applications. These contributions have been prepared by a group of eminent researchers and professionals in the field.The theoretical topics covered include: knowledge acquisition, machine learning, genetic algorithms, knowledge management and processing under unc

  5. In defense of types in knowledge-based CAAD

    Galle, Per

    1997-01-01

    There are two basic approaches to representation of design knowledge in knowledge-based CAAD systems, the type-based approach which has a long tradition, and the more recent typeless approach. Proponents of the latter have offered a number of arguments against the type-based approach which...... are reviewed in the paper and found rather unconvincing. Work within both paradigms is also reviewed and problems encountered under both approaches discussed. The analysis concludes with a recommendation of preserving the notion of types but in a form that avoids rigidity, and with hints at how certain...

  6. Building a knowledge based economy in Russia using guided entrepreneurship

    Reznik, Boris N.; Daniels, Marc; Ichim, Thomas E.; Reznik, David L.

    2005-06-01

    Despite advanced scientific and technological (S&T) expertise, the Russian economy is presently based upon manufacturing and raw material exports. Currently, governmental incentives are attempting to leverage the existing scientific infrastructure through the concept of building a Knowledge Based Economy. However, socio-economic changes do not occur solely by decree, but by alteration of approach to the market. Here we describe the "Guided Entrepreneurship" plan, a series of steps needed for generation of an army of entrepreneurs, which initiate a chain reaction of S&T-driven growth. The situation in Russia is placed in the framework of other areas where Guided Entrepreneurship has been successful.

  7. Knowledge-Based Platform for Collaborative Innovation Development of Products

    李莉敏; 唐文献; 方明伦; 杨延麟

    2005-01-01

    The platform of distributed design and resource sharing is important for medium-sized and small companies in developing products to improve competitiveness. As a background of creative product design, a knowledge model based on product collaborative innovation development of products (CIDP) is proposed. Characteristics of CIDP are analyzed, and the framework and key technologies of the CIDP-plafform based knowledge studied. Through integration of existing system and interface designs, a development platform has been built to support the PCID within knowledge-based engineering (KBE). An example is presented, indicating that the prototype system is maneuverable and practical.

  8. A knowledge-based manager for software projects

    Agarwal, A.; Jairam, B.N.; Emrich, M.L.; Murthy, N.

    1988-01-01

    Management aspects of software development have received little research interest. The SOFTMAN system addresses the automation of this feature of the SDLC. It is a knowledge-based system which tracks the health of a software development effort. By comparing user metrics to past environment standards, anomalies in the coding stage are detected and suggestions for solving them are offered. In addition, SOFTMAN can be used to tutor new personnel, perform what-if anaylsis, and build a corporate memory regarding managment decisions. 15 refs., 2 figs.

  9. Network fingerprint: a knowledge-based characterization of biomedical networks

    Cui, Xiuliang; He, Haochen; He, Fuchu; Wang, Shengqi; Li, Fei; Bo, Xiaochen

    2015-01-01

    It can be difficult for biomedical researchers to understand complex molecular networks due to their unfamiliarity with the mathematical concepts employed. To represent molecular networks with clear meanings and familiar forms for biomedical researchers, we introduce a knowledge-based computational framework to decipher biomedical networks by making systematic comparisons to well-studied “basic networks”. A biomedical network is characterized as a spectrum-like vector called “network fingerprint”, which contains similarities to basic networks. This knowledge-based multidimensional characterization provides a more intuitive way to decipher molecular networks, especially for large-scale network comparisons and clustering analyses. As an example, we extracted network fingerprints of 44 disease networks in the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. The comparisons among the network fingerprints of disease networks revealed informative disease-disease and disease-signaling pathway associations, illustrating that the network fingerprinting framework will lead to new approaches for better understanding of biomedical networks. PMID:26307246

  10. Logical Object as a Basis of Knowledge Based Systems

    徐殿祥; 郑国梁

    1995-01-01

    This paper presents a framework called logical knowledge object (LKO),which is taken as a basis of the dependable development of knowledge based systems(KBSs).LKO combines logic programming and object-oriented programming paradigms,where objects are viewed as abstractions with states,constraints,behaviors and inheritance.The operational semantics defined in the style of natural semantics is simple and clear.A hybrid knowledge representation amalgamating rule,frame,semantic network and blackboard is available for both most structured and flat knowledge.The management of knowledge bases has been formally specified.Accordingly,LKO is well suited for the formal representation of knowledge and requirements of KBSs.Based on the framework,verification techniques are also explored to enhance the analysis of requirement specifications and the validation of KBSs.In addition,LKO provides a methodology for the development of KBSs,applying the concepts of rapid prototyping and top-down design to deal with changing and incomplete requirements,and to provide multiple abstract models of the domain,where formal methods might be used at each abstract level.

  11. Knowledge-based simulation using object-oriented programming

    Sidoran, Karen M.

    1993-01-01

    Simulations have become a powerful mechanism for understanding and modeling complex phenomena. Their results have had substantial impact on a broad range of decisions in the military, government, and industry. Because of this, new techniques are continually being explored and developed to make them even more useful, understandable, extendable, and efficient. One such area of research is the application of the knowledge-based methods of artificial intelligence (AI) to the computer simulation field. The goal of knowledge-based simulation is to facilitate building simulations of greatly increased power and comprehensibility by making use of deeper knowledge about the behavior of the simulated world. One technique for representing and manipulating knowledge that has been enhanced by the AI community is object-oriented programming. Using this technique, the entities of a discrete-event simulation can be viewed as objects in an object-oriented formulation. Knowledge can be factual (i.e., attributes of an entity) or behavioral (i.e., how the entity is to behave in certain circumstances). Rome Laboratory's Advanced Simulation Environment (RASE) was developed as a research vehicle to provide an enhanced simulation development environment for building more intelligent, interactive, flexible, and realistic simulations. This capability will support current and future battle management research and provide a test of the object-oriented paradigm for use in large scale military applications.

  12. Knowledge based cluster ensemble for cancer discovery from biomolecular data.

    Yu, Zhiwen; Wongb, Hau-San; You, Jane; Yang, Qinmin; Liao, Hongying

    2011-06-01

    The adoption of microarray techniques in biological and medical research provides a new way for cancer diagnosis and treatment. In order to perform successful diagnosis and treatment of cancer, discovering and classifying cancer types correctly is essential. Class discovery is one of the most important tasks in cancer classification using biomolecular data. Most of the existing works adopt single clustering algorithms to perform class discovery from biomolecular data. However, single clustering algorithms have limitations, which include a lack of robustness, stability, and accuracy. In this paper, we propose a new cluster ensemble approach called knowledge based cluster ensemble (KCE) which incorporates the prior knowledge of the data sets into the cluster ensemble framework. Specifically, KCE represents the prior knowledge of a data set in the form of pairwise constraints. Then, the spectral clustering algorithm (SC) is adopted to generate a set of clustering solutions. Next, KCE transforms pairwise constraints into confidence factors for these clustering solutions. After that, a consensus matrix is constructed by considering all the clustering solutions and their corresponding confidence factors. The final clustering result is obtained by partitioning the consensus matrix. Comparison with single clustering algorithms and conventional cluster ensemble approaches, knowledge based cluster ensemble approaches are more robust, stable and accurate. The experiments on cancer data sets show that: 1) KCE works well on these data sets; 2) KCE not only outperforms most of the state-of-the-art single clustering algorithms, but also outperforms most of the state-of-the-art cluster ensemble approaches.

  13. Big Data Analytics in Immunology: A Knowledge-Based Approach

    Guang Lan Zhang

    2014-01-01

    Full Text Available With the vast amount of immunological data available, immunology research is entering the big data era. These data vary in granularity, quality, and complexity and are stored in various formats, including publications, technical reports, and databases. The challenge is to make the transition from data to actionable knowledge and wisdom and bridge the knowledge gap and application gap. We report a knowledge-based approach based on a framework called KB-builder that facilitates data mining by enabling fast development and deployment of web-accessible immunological data knowledge warehouses. Immunological knowledge discovery relies heavily on both the availability of accurate, up-to-date, and well-organized data and the proper analytics tools. We propose the use of knowledge-based approaches by developing knowledgebases combining well-annotated data with specialized analytical tools and integrating them into analytical workflow. A set of well-defined workflow types with rich summarization and visualization capacity facilitates the transformation from data to critical information and knowledge. By using KB-builder, we enabled streamlining of normally time-consuming processes of database development. The knowledgebases built using KB-builder will speed up rational vaccine design by providing accurate and well-annotated data coupled with tailored computational analysis tools and workflow.

  14. A Case for Embedded Natural Logic for Ontological Knowledge Bases

    Andreasen, Troels; Nilsson, Jørgen Fischer

    2014-01-01

    We argue in favour of adopting a form of natural logic for ontology-structured knowledge bases as an alternative to description logic and rule based languages. Natural logic is a form of logic resembling natural language assertions, unlike description logic. This is essential e.g. in life science...... negation in description logic. We embed the natural logic in DATALOG clauses which is to take care of the computational inference in connection with querying.......We argue in favour of adopting a form of natural logic for ontology-structured knowledge bases as an alternative to description logic and rule based languages. Natural logic is a form of logic resembling natural language assertions, unlike description logic. This is essential e.g. in life sciences......, where the large and evolving knowledge specifications should be directly accessible to domain experts. Moreover, natural logic comes with intuitive inference rules. The considered version of natural logic leans toward the closed world assumption (CWA) unlike the open world assumption with classical...

  15. A Case for Embedded Natural Logic for Ontological Knowledge Bases

    Andreasen, Troels; Nilsson, Jørgen Fischer

    2014-01-01

    We argue in favour of adopting a form of natural logic for ontology-structured knowledge bases as an alternative to description logic and rule based languages. Natural logic is a form of logic resembling natural language assertions, unlike description logic. This is essential e.g. in life science...... negation in description logic. We embed the natural logic in DATALOG clauses which is to take care of the computational inference in connection with querying......We argue in favour of adopting a form of natural logic for ontology-structured knowledge bases as an alternative to description logic and rule based languages. Natural logic is a form of logic resembling natural language assertions, unlike description logic. This is essential e.g. in life sciences......, where the large and evolving knowledge specifications should be directly accessible to domain experts. Moreover, natural logic comes with intuitive inference rules. The considered version of natural logic leans toward the closed world assumption (CWA) unlike the open world assumption with classical...

  16. Neuro computing in knowledge-based decision support systems

    Sirola, Miki; Lampi, Golan; Parviainen, Jukka

    2004-07-01

    Knowledge-based decision support systems of today are due to development of many decades. More and more methodologies and application areas have been involved during this time. In this paper neural methods are combined with knowledge-based methodologies. Self-Organizing Map (SOM) is used together with rule-based reasoning, and realized in a prototype of a decision support system. This system, which can be used e.g. in fault diagnosis, is based on an earlier study including compatibility analysis. A Matlab-based tool is capable of doing tasks in fault detection and identification. We show with an example how SOM analysis can help decision making in a computerized decision support system. Quantisation error between normal data and error data is one important methodological tool in this analysis. This kind of decision making is needed for instance in control room in state monitoring of a safety critical process in industry. A scenario about a leak in the primary circuit of a BWR nuclear power plant is also shortly demonstrated. (Author)

  17. Big data analytics in immunology: a knowledge-based approach.

    Zhang, Guang Lan; Sun, Jing; Chitkushev, Lou; Brusic, Vladimir

    2014-01-01

    With the vast amount of immunological data available, immunology research is entering the big data era. These data vary in granularity, quality, and complexity and are stored in various formats, including publications, technical reports, and databases. The challenge is to make the transition from data to actionable knowledge and wisdom and bridge the knowledge gap and application gap. We report a knowledge-based approach based on a framework called KB-builder that facilitates data mining by enabling fast development and deployment of web-accessible immunological data knowledge warehouses. Immunological knowledge discovery relies heavily on both the availability of accurate, up-to-date, and well-organized data and the proper analytics tools. We propose the use of knowledge-based approaches by developing knowledgebases combining well-annotated data with specialized analytical tools and integrating them into analytical workflow. A set of well-defined workflow types with rich summarization and visualization capacity facilitates the transformation from data to critical information and knowledge. By using KB-builder, we enabled streamlining of normally time-consuming processes of database development. The knowledgebases built using KB-builder will speed up rational vaccine design by providing accurate and well-annotated data coupled with tailored computational analysis tools and workflow.

  18. Matching sensors to missions using a knowledge-based approach

    Preece, Alun; Gomez, Mario; de Mel, Geeth; Vasconcelos, Wamberto; Sleeman, Derek; Colley, Stuart; Pearson, Gavin; Pham, Tien; La Porta, Thomas

    2008-04-01

    Making decisions on how best to utilise limited intelligence, surveillance and reconnaisance (ISR) resources is a key issue in mission planning. This requires judgements about which kinds of available sensors are more or less appropriate for specific ISR tasks in a mission. A methodological approach to addressing this kind of decision problem in the military context is the Missions and Means Framework (MMF), which provides a structured way to analyse a mission in terms of tasks, and assess the effectiveness of various means for accomplishing those tasks. Moreover, the problem can be defined as knowledge-based matchmaking: matching the ISR requirements of tasks to the ISR-providing capabilities of available sensors. In this paper we show how the MMF can be represented formally as an ontology (that is, a specification of a conceptualisation); we also represent knowledge about ISR requirements and sensors, and then use automated reasoning to solve the matchmaking problem. We adopt the Semantic Web approach and the Web Ontology Language (OWL), allowing us to import elements of existing sensor knowledge bases. Our core ontologies use the description logic subset of OWL, providing efficient reasoning. We describe a prototype tool as a proof-of-concept for our approach. We discuss the various kinds of possible sensor-mission matches, both exact and inexact, and how the tool helps mission planners consider alternative choices of sensors.

  19. Knowledge-based detection method for SAR targets

    Fei Gao; Achang Ru; Jun Wang; Shiyi Mao

    2014-01-01

    When the classical constant false-alarm rate (CFAR) combined with fuzzy C-means (FCM) algorithm is applied to target detection in synthetic aperture radar (SAR) images with com-plex background, CFAR requires block-by-block estimation of clut-ter models and FCM clustering converges to local optimum. To address these problems, this paper pro-poses a new detection algorithm: knowledge-based combined with improved genetic algorithm-fuzzy C-means (GA-FCM) algorithm. Firstly, the algo-rithm takes target region’s maximum and average intensity, area, length of long axis and long-to-short axis ratio of the external el ipse as factors which influence the target appearing probabil-ity. The knowledge-based detection algorithm can produce pre-process results without the need of estimation of clutter models as CFAR does. Afterward the GA-FCM algorithm is improved to clus-ter pre-process results. It has advantages of incorporating global optimizing ability of GA and local optimizing ability of FCM, which wil further eliminate false alarms and get better results. The ef-fectiveness of the proposed technique is experimental y validated with real SAR images.

  20. CGKB: an annotation knowledge base for cowpea (Vigna unguiculata L. methylation filtered genomic genespace sequences

    Spraggins Thomas A

    2007-04-01

    potential domains on annotated GSS were analyzed using the HMMER package against the Pfam database. The annotated GSS were also assigned with Gene Ontology annotation terms and integrated with 228 curated plant metabolic pathways from the Arabidopsis Information Resource (TAIR knowledge base. The UniProtKB-Swiss-Prot ENZYME database was used to assign putative enzymatic function to each GSS. Each GSS was also analyzed with the Tandem Repeat Finder (TRF program in order to identify potential SSRs for molecular marker discovery. The raw sequence data, processed annotation, and SSR results were stored in relational tables designed in key-value pair fashion using a PostgreSQL relational database management system. The biological knowledge derived from the sequence data and processed results are represented as views or materialized views in the relational database management system. All materialized views are indexed for quick data access and retrieval. Data processing and analysis pipelines were implemented using the Perl programming language. The web interface was implemented in JavaScript and Perl CGI running on an Apache web server. The CPU intensive data processing and analysis pipelines were run on a computer cluster of more than 30 dual-processor Apple XServes. A job management system called Vela was created as a robust way to submit large numbers of jobs to the Portable Batch System (PBS. Conclusion CGKB is an integrated and annotated resource for cowpea GSS with features of homology-based and HMM-based annotations, enzyme and pathway annotations, GO term annotation, toolkits, and a large number of other facilities to perform complex queries. The cowpea GSS, chloroplast sequences, mitochondrial sequences, retroelements, and SSR sequences are available as FASTA formatted files and downloadable at CGKB. This database and web interface are publicly accessible at http://cowpeagenomics.med.virginia.edu/CGKB/.

  1. HINT-KB: The human interactome knowledge base

    Theofilatos, Konstantinos A.

    2012-01-01

    Proteins and their interactions are considered to play a significant role in many cellular processes. The identification of Protein-Protein interactions (PPIs) in human is an open research area. Many Databases, which contain information about experimentally and computationally detected human PPIs as well as their corresponding annotation data, have been developed. However, these databases contain many false positive interactions, are partial and only a few of them incorporate data from various sources. To overcome these limitations, we have developed HINT-KB (http://150.140.142.24:84/Default.aspx) which is a knowledge base that integrates data from various sources, provides a user-friendly interface for their retrieval, estimates a set of features of interest and computes a confidence score for every candidate protein interaction using a modern computational hybrid methodology. © 2012 IFIP International Federation for Information Processing.

  2. Detection of infrastructure manipulation with knowledge-based video surveillance

    Muench, David; Hilsenbeck, Barbara; Kieritz, Hilke; Becker, Stefan; Grosselfinger, Ann-Kristin; Huebner, Wolfgang; Arens, Michael

    2016-10-01

    We are living in a world dependent on sophisticated technical infrastructure. Malicious manipulation of such critical infrastructure poses an enormous threat for all its users. Thus, running a critical infrastructure needs special attention to log the planned maintenance or to detect suspicious events. Towards this end, we present a knowledge-based surveillance approach capable of logging visual observable events in such an environment. The video surveillance modules are based on appearance-based person detection, which further is used to modulate the outcome of generic processing steps such as change detection or skin detection. A relation between the expected scene behavior and the underlying basic video surveillance modules is established. It will be shown that the combination already provides sufficient expressiveness to describe various everyday situations in indoor video surveillance. The whole approach is qualitatively and quantitatively evaluated on a prototypical scenario in a server room.

  3. Knowledge Based Product Configuration - a documentatio tool for configuration projects

    Hvam, Lars; Malis, Martin

    2003-01-01

    How can complex product models be documented in a formalised way that consider both development and maintenance? The need for an effective documentation tool has emerged in order to document the development of product models. The product models have become more and more complex and comprehensive....... with the development of a Lotus Notes application that serves as a knowledge based documentation tool for configuration projects. A prototype has been developed and tested empirically in an industrial case-company. It has proved to be a succes.......How can complex product models be documented in a formalised way that consider both development and maintenance? The need for an effective documentation tool has emerged in order to document the development of product models. The product models have become more and more complex and comprehensive...

  4. A Natural Logic for Natural-Language Knowledge Bases

    Andreasen, Troels; Styltsvig, Henrik Bulskov; Jensen, Per Anker;

    2017-01-01

    to semantic querying. Our core natural logic proposal covers formal ontologies and generative extensions thereof. It further provides means of expressing general relationships between classes in an application. We discuss extensions of the core natural logic with various conservative as well as non......-conservative constructs in order to approach scientific use of natural language. Finally, we outline a prototype system addressing life science for the natural logic knowledge base setup being under continuous development.......We describe a natural logic for computational reasoning with a regimented fragment of natural language. The natural logic comes with intuitive inference rules enabling deductions and with an internal graph representation facilitating conceptual path finding between pairs of terms as an approach...

  5. Knowledge-based system for flight information management. Thesis

    Ricks, Wendell R.

    1990-01-01

    The use of knowledge-based system (KBS) architectures to manage information on the primary flight display (PFD) of commercial aircraft is described. The PFD information management strategy used tailored the information on the PFD to the tasks the pilot performed. The KBS design and implementation of the task-tailored PFD information management application is described. The knowledge acquisition and subsequent system design of a flight-phase-detection KBS is also described. The flight-phase output of this KBS was used as input to the task-tailored PFD information management KBS. The implementation and integration of this KBS with existing aircraft systems and the other KBS is described. The flight tests are examined of both KBS's, collectively called the Task-Tailored Flight Information Manager (TTFIM), which verified their implementation and integration, and validated the software engineering advantages of the KBS approach in an operational environment.

  6. Knowledge-based fault diagnosis system for refuse collection vehicle

    Tan, CheeFai; Juffrizal, K.; Khalil, S. N.; Nidzamuddin, M. Y.

    2015-05-01

    The refuse collection vehicle is manufactured by local vehicle body manufacturer. Currently; the company supplied six model of the waste compactor truck to the local authority as well as waste management company. The company is facing difficulty to acquire the knowledge from the expert when the expert is absence. To solve the problem, the knowledge from the expert can be stored in the expert system. The expert system is able to provide necessary support to the company when the expert is not available. The implementation of the process and tool is able to be standardize and more accurate. The knowledge that input to the expert system is based on design guidelines and experience from the expert. This project highlighted another application on knowledge-based system (KBS) approached in trouble shooting of the refuse collection vehicle production process. The main aim of the research is to develop a novel expert fault diagnosis system framework for the refuse collection vehicle.

  7. A knowledge-based agent prototype for Chinese address geocoding

    Wei, Ran; Zhang, Xuehu; Ding, Linfang; Ma, Haoming; Li, Qi

    2009-10-01

    Chinese address geocoding is a difficult problem to deal with due to intrinsic complexities in Chinese address systems and a lack of standards in address assignments and usages. In order to improve existing address geocoding algorithm, a spatial knowledge-based agent prototype aimed at validating address geocoding results is built to determine the spatial accuracies as well as matching confidence. A portion of human's knowledge of judging the spatial closeness of two addresses is represented via first order logic and the corresponding algorithms are implemented with the Prolog language. Preliminary tests conducted using addresses matching result in Beijing area showed that the prototype can successfully assess the spatial closeness between the matching address and the query address with 97% accuracy.

  8. KBERG: KnowledgeBase for Estrogen Responsive Genes

    Tang, Suisheng; Zhang, Zhuo; Tan, Sin Lam;

    2007-01-01

    Estrogen has a profound impact on human physiology affecting transcription of numerous genes. To decipher functional characteristics of estrogen responsive genes, we developed KnowledgeBase for Estrogen Responsive Genes (KBERG). Genes in KBERG were derived from Estrogen Responsive Gene Database...... (ERGDB) and were analyzed from multiple aspects. We explored the possible transcription regulation mechanism by capturing highly conserved promoter motifs across orthologous genes, using promoter regions that cover the range of [-1200, +500] relative to the transcription start sites. The motif detection...... is based on ab initio discovery of common cis-elements from the orthologous gene cluster from human, mouse and rat, thus reflecting a degree of promoter sequence preservation during evolution. The identified motifs are linked to transcription factor binding sites based on the TRANSFAC database. In addition...

  9. Knowledge-Based Systems in Biomedicine and Computational Life Science

    Jain, Lakhmi

    2013-01-01

    This book presents a sample of research on knowledge-based systems in biomedicine and computational life science. The contributions include: ·         personalized stress diagnosis system ·         image analysis system for breast cancer diagnosis ·         analysis of neuronal cell images ·         structure prediction of protein ·         relationship between two mental disorders ·         detection of cardiac abnormalities ·         holistic medicine based treatment ·         analysis of life-science data  

  10. Knowledge-based adaptive polarimetric detection in heterogeneous clutter

    Yinan Zhao,Fengcong Li,; Xiaolin Qiao

    2014-01-01

    The detection performance and the constant false alarm rate behavior of the conventional adaptive detectors are severely degraded in heterogeneous clutter. This paper designs and analy-ses a knowledge-based (KB) adaptive polarimetric detector in het-erogeneous clutter. The proposed detection scheme is composed of a data selector using polarization knowledge and an adaptive polarization detector using training data. A polarization data se-lector based on the maximum likelihood estimation is proposed to remove outliers from the heterogeneous training data. This selector can remove outliers effectively, thus the training data is purified for estimating the clutter covariance matrix. Consequently, the performance of the adaptive detector is improved. We assess the performance of the KB adaptive polarimetric detector and the adaptive polarimetric detector without a data selector using sim-ulated data and IPIX radar data. The results show that the KB adaptive polarization detector outperforms its non-KB counter-parts.

  11. Building ontological meaning in a lexico-conceptual knowledge base

    Rocío Jiménez-Briones

    2011-06-01

    Full Text Available Framed within the world of Artificial Intelligence, and more precisely within the project FunGramKB, i.e. a user-friendly environment for the semiautomatic construction of a multipurpose lexico-conceptual knowledge base for Natural Language Processing systems, the aim of this paper is two-fold. Firstly, we shall provide a necessarily non-exhaustive theoretical discussion of FunGramKB in which we will introduce the main elements that make up its Ontology (i.e. Thematic Frames, Meaning Postulates, different types of concepts, etc.. Secondly, we will describe the meticulous process carried out by knowledge engineers when populating this conceptually-driven Ontology. In doing so, we shall examine various examples belonging to the domain of ‘change’ or #TRANSFORMATION (in the COREL notation, in an attempt to show how conceptual knowledge can be modeled in for Artificial Intelligence purposes.

  12. VIALACTEA knowledge base homogenizing access to Milky Way data

    Molinaro, Marco; Bandieramonte, Marilena; Becciani, Ugo; Brescia, Massimo; Cavuoti, Stefano; Costa, Alessandro; Di Giorgio, Anna M; Elia, Davide; Hajnal, Akos; Gabor, Hermann; Kacsuk, Peter; Liu, Scige J; Molinari, Sergio; Riccio, Giuseppe; Schisano, Eugenio; Sciacca, Eva; Smareglia, Riccardo; Vitello, Fabio

    2016-01-01

    The VIALACTEA project has a work package dedicated to Tools and Infrastructure and, inside it, a task for the Database and Virtual Observatory Infrastructure. This task aims at providing an infrastructure to store all the resources needed by the, more purposely, scientific work packages of the project itself. This infrastructure includes a combination of: storage facilities, relational databases and web services on top of them, and has taken, as a whole, the name of VIALACTEA Knowledge Base (VLKB). This contribution illustrates the current status of this VLKB. It details the set of data resources put together; describes the database that allows data discovery through VO inspired metadata maintenance; illustrates the discovery, cutout and access services built on top of the former two for the users to exploit the data content.

  13. Knowledge-based fault diagnosis system for refuse collection vehicle

    Tan, CheeFai; Juffrizal, K.; Khalil, S. N.; Nidzamuddin, M. Y. [Centre of Advanced Research on Energy, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Durian Tunggal, Melaka (Malaysia)

    2015-05-15

    The refuse collection vehicle is manufactured by local vehicle body manufacturer. Currently; the company supplied six model of the waste compactor truck to the local authority as well as waste management company. The company is facing difficulty to acquire the knowledge from the expert when the expert is absence. To solve the problem, the knowledge from the expert can be stored in the expert system. The expert system is able to provide necessary support to the company when the expert is not available. The implementation of the process and tool is able to be standardize and more accurate. The knowledge that input to the expert system is based on design guidelines and experience from the expert. This project highlighted another application on knowledge-based system (KBS) approached in trouble shooting of the refuse collection vehicle production process. The main aim of the research is to develop a novel expert fault diagnosis system framework for the refuse collection vehicle.

  14. TMS for Instantiating a Knowledge Base With Incomplete Data

    James, Mark

    2007-01-01

    A computer program that belongs to the class known among software experts as output truth-maintenance-systems (output TMSs) has been devised as one of a number of software tools for reducing the size of the knowledge base that must be searched during execution of artificial- intelligence software of the rule-based inference-engine type in a case in which data are missing. This program determines whether the consequences of activation of two or more rules can be combined without causing a logical inconsistency. For example, in a case involving hypothetical scenarios that could lead to turning a given device on or off, the program determines whether a scenario involving a given combination of rules could lead to turning the device both on and off at the same time, in which case that combination of rules would not be included in the scenario.

  15. Towards an Age-Phenome Knowledge-base

    Rubin Eitan

    2011-06-01

    Full Text Available Abstract Background Currently, data about age-phenotype associations are not systematically organized and cannot be studied methodically. Searching for scientific articles describing phenotypic changes reported as occurring at a given age is not possible for most ages. Results Here we present the Age-Phenome Knowledge-base (APK, in which knowledge about age-related phenotypic patterns and events can be modeled and stored for retrieval. The APK contains evidence connecting specific ages or age groups with phenotypes, such as disease and clinical traits. Using a simple text mining tool developed for this purpose, we extracted instances of age-phenotype associations from journal abstracts related to non-insulin-dependent Diabetes Mellitus. In addition, links between age and phenotype were extracted from clinical data obtained from the NHANES III survey. The knowledge stored in the APK is made available for the relevant research community in the form of 'Age-Cards', each card holds the collection of all the information stored in the APK about a particular age. These Age-Cards are presented in a wiki, allowing community review, amendment and contribution of additional information. In addition to the wiki interaction, complex searches can also be conducted which require the user to have some knowledge of database query construction. Conclusions The combination of a knowledge model based repository with community participation in the evolution and refinement of the knowledge-base makes the APK a useful and valuable environment for collecting and curating existing knowledge of the connections between age and phenotypes.

  16. PREMISES FOR CREATING KNOWLEDGE-BASED ORGANIZATIONS IN ROMANIA

    ADELA ANCA FUCEC

    2012-05-01

    Full Text Available The transition to the knowledge-based economy in Romania is the main path towards obtaining a sustainable economic growth and may even be the feasible solution our country needs in order to exit the current economic crisis. The knowledge-based organizations are the main vector, a necessary and ireplaceable condition and factor for the creation of the knowledge economy, therefore every leader should be at least familiar with the premises needed to increase the number of these kind of organizations in Romania and sustain a propitious environment for their development. Therefore, the purpose of this paper is to identify and unfold the premises that need to be fulfilled in order to facilitate Romania’s transition to the knowledge economy. To this end, following the macroeconomic and microeconomic situation, not only from an economical perspectrive, but also from a managerial one, there have been two categories of premises, which are actually conditioning elements for Romania’s transition to the knowledge economy. At macroeconomic level, the main premise is that of the need to substantiate (found, elaborate and implement a genuine strategy for the transition to the knowledge economy; at microeconomic level, the organizations need to embrace a strategic management, relocate their attention towards the human resources, receive support from the IT departments and give the proper importance to organizational culture and the processes related to change management. By emphasizing the details of these premises, the objectives of ilustrating Romania’s vulnerabillities and needs regarding the transition to the knowledge economy have been attained.

  17. Knowledge-Based Reinforcement Learning for Data Mining

    Kudenko, Daniel; Grzes, Marek

    experts have developed heuristics that help them in planning and scheduling resources in their work place. However, this domain knowledge is often rough and incomplete. When the domain knowledge is used directly by an automated expert system, the solutions are often sub-optimal, due to the incompleteness of the knowledge, the uncertainty of environments, and the possibility to encounter unexpected situations. RL, on the other hand, can overcome the weaknesses of the heuristic domain knowledge and produce optimal solutions. In the talk we propose two techniques, which represent first steps in the area of knowledge-based RL (KBRL). The first technique [1] uses high-level STRIPS operator knowledge in reward shaping to focus the search for the optimal policy. Empirical results show that the plan-based reward shaping approach outperforms other RL techniques, including alternative manual and MDP-based reward shaping when it is used in its basic form. We showed that MDP-based reward shaping may fail and successful experiments with STRIPS-based shaping suggest modifications which can overcome encountered problems. The STRIPSbased method we propose allows expressing the same domain knowledge in a different way and the domain expert can choose whether to define an MDP or STRIPS planning task. We also evaluated the robustness of the proposed STRIPS-based technique to errors in the plan knowledge. In case that STRIPS knowledge is not available, we propose a second technique [2] that shapes the reward with hierarchical tile coding. Where the Q-function is represented with low-level tile coding, a V-function with coarser tile coding can be learned in parallel and used to approximate the potential for ground states. In the context of data mining, our KBRL approaches can also be used for any data collection task where the acquisition of data may incur considerable cost. In addition, observing the data collection agent in specific scenarios may lead to new insights into optimal data

  18. The Knowledge-Based Economy and E-Learning: Critical Considerations for Workplace Democracy

    Remtulla, Karim A.

    2007-01-01

    The ideological shift by nation-states to "a knowledge-based economy" (also referred to as "knowledge-based society") is causing changes in the workplace. Brought about by the forces of globalisation and technological innovation, the ideologies of the "knowledge-based economy" are not limited to influencing the…

  19. Knowledge-based engineering of a PLC controlled telescope

    Pessemier, Wim; Raskin, Gert; Saey, Philippe; Van Winckel, Hans; Deconinck, Geert

    2016-08-01

    As the new control system of the Mercator Telescope is being finalized, we can review some technologies and design methodologies that are advantageous, despite their relative uncommonness in astronomical instrumentation. Particular for the Mercator Telescope is that it is controlled by a single high-end soft-PLC (Programmable Logic Controller). Using off-the-shelf components only, our distributed embedded system controls all subsystems of the telescope such as the pneumatic primary mirror support, the hydrostatic bearing, the telescope axes, the dome, the safety system, and so on. We show how real-time application logic can be written conveniently in typical PLC languages (IEC 61131-3) and in C++ (to implement the pointing kernel) using the commercial TwinCAT 3 programming environment. This software processes the inputs and outputs of the distributed system in real-time via an observatory-wide EtherCAT network, which is synchronized with high precision to an IEEE 1588 (PTP, Precision Time Protocol) time reference clock. Taking full advantage of the ability of soft-PLCs to run both real-time and non real-time software, the same device also hosts the most important user interfaces (HMIs or Human Machine Interfaces) and communication servers (OPC UA for process data, FTP for XML configuration data, and VNC for remote control). To manage the complexity of the system and to streamline the development process, we show how most of the software, electronics and systems engineering aspects of the control system have been modeled as a set of scripts written in a Domain Specific Language (DSL). When executed, these scripts populate a Knowledge Base (KB) which can be queried to retrieve specific information. By feeding the results of those queries to a template system, we were able to generate very detailed "browsable" web-based documentation about the system, but also PLC software code, Python client code, model verification reports, etc. The aim of this paper is to

  20. A distributed knowledge-based system for the optimum utilisation of South African wool

    Nomusa Dlodlo

    2009-09-01

    Full Text Available This article describes the concept and development of a knowledge-based advisory system for the optimum utilisation of South African wool for the benefit of present and potential investors and other interested parties. Wool is a natural animal fibre produced in varying quantities around the world. The wool fibre is far from homogenous; its type and quality, such as fineness and length, depending on the breed of sheep and the environmental conditions prevailing during its growth. Wool is used in a variety of end uses, ranging from fi ne worsted suiting, to hand knitting yarn, carpets, blankets and aircraft upholstery, its use depending largely on its fibre fineness and length. The wool industry is one of the oldest agricultural industries in South Africa, playing an important economic role as an earner of foreign exchange, and providing a living to many people. Wool is produced in many parts of South Africa under extensive, semi-extensive or intensive conditions, and is largely an export commodity. It is produced and traded in a sophisticated free market business environment into the international market place, where supply and demand forces determine price levels. More than 90% of locally produced wool is exported in an unprocessed or semi-processed form which detrimentally affects employment, foreign exchange and income-generating opportunities associated with value-addition prior to export. To reduce the amount of wool exported in unprocessed or semi-processed form, wool-processing enterprises need to be established to produce internationally marketable end products. Therefore, South Africa needs to attract investors into the wool sector, who will set up manufacturing mills in an economically sustainable manner. Potential and present investors in the South African (S.A. wool industry need easily accessible and up-to-date information on the production statistics, processing properties and end-use pplications of the wool they need for the

  1. KNOWLEDGE-BASED ROBOT VISION SYSTEM FOR AUTOMATED PART HANDLING

    J. Wang

    2012-01-01

    Full Text Available

    ENGLISH ABSTRACT: This paper discusses an algorithm incorporating a knowledge-based vision system into an industrial robot system for handling parts intelligently. A continuous fuzzy controller was employed to extract boundary information in a computationally efficient way. The developed algorithm for on-line part recognition using fuzzy logic is shown to be an effective solution to extract the geometric features of objects. The proposed edge vector representation method provides enough geometric information and facilitates the object geometric reconstruction for gripping planning. Furthermore, a part-handling model was created by extracting the grasp features from the geometric features.

    AFRIKAANSE OPSOMMING: Hierdie artikel beskryf ‘n kennis-gebaseerde visiesisteemalgoritme wat in ’n industriёle robotsisteem ingesluit word om sodoende intelligente komponenthantering te bewerkstellig. ’n Kontinue wasige beheerder is gebruik om allerlei objekinligting deur middel van ’n effektiewe berekeningsmetode te bepaal. Die ontwikkelde algoritme vir aan-lyn komponentherkenning maak gebruik van wasige logika en word bewys as ’n effektiewe metode om geometriese inligting van objekte te bepaal. Die voorgestelde grensvektormetode verskaf voldoende inligting en maak geometriese rekonstruksie van die objek moontlik om greepbeplanning te kan doen. Voorts is ’n komponenthanteringsmodel ontwikkel deur die grypkenmerke af te lei uit die geometriese eienskappe.

  2. A Knowledge-Based Analysis of Global Function Computation

    Halpern, Joseph Y

    2007-01-01

    Consider a distributed system N in which each agent has an input value and each communication link has a weight. Given a global function, that is, a function f whose value depends on the whole network, the goal is for every agent to eventually compute the value f(N). We call this problem global function computation. Various solutions for instances of this problem, such as Boolean function computation, leader election, (minimum) spanning tree construction, and network determination, have been proposed, each under particular assumptions about what processors know about the system and how this knowledge can be acquired. We give a necessary and sufficient condition for the problem to be solvable that generalizes a number of well-known results. We then provide a knowledge-based (kb) program (like those of Fagin, Halpern, Moses, and Vardi) that solves global function computation whenever possible. Finally, we improve the message overhead inherent in our initial kb program by giving a counterfactual belief-based pro...

  3. Knowledge-based approaches for river basin management

    P. Mikulecký

    2007-06-01

    Full Text Available Rare attempts to use knowledge technologies and other relevant approaches are found in the river basin management. Some applications of expert systems as well as utilization of soft computing techniques (as neural networks or genetic algorithms are known in an experimental level. Knowledge management approaches still have not been used at all. In this paper we discuss knowledge-based approaches in the river basin management as a difficult yet important direction which could be proven to be helpful. We summarize the research done in the scope of the AQUIN project, one of first Czech knowledge management projects in the river basin management. The project was initiated by the water management company in Pilsen, where dispatchers make decisions about manipulations on the reservoir Nýrsko, the strategic source of drinking water for inhabitants of Pilsen. The project aim was to support dispatchers' decision making under a high degree of uncertainty or data shortage. The research is continued in the scope of a new project AQUINpro, planned for the period of 2006 to 2008.

  4. From knowledge based software engineering to knowware based software engineering

    LU RuQian; JIN Zhi

    2008-01-01

    The first part of this paper reviews our efforts on knowledge-based software engi-neering, namely PROMIS, started from 1990s. The key point of PROMIS is to gen-erate applications automatically based on domain knowledge as well as software knowledge. That is featured by separating the development of domain knowledge from the development of software. But in PROMIS, we did not find an appropriate representation for the domain knowledge. Fortunately, in our recent work, we found such a carrier for knowledge modules, i.e. knowware. Knowware is a commercial-ized form of domain knowledge. This paper briefly introduces the basic definitions of knowware, knowledge middleware and knowware engineering. Three life circle models of knowware engineering and the design of corresponding knowware im-plementations are given. Finally we discuss application system automatic genera-tion and domain knowledge modeling on the J2EE platform, which combines the techniques of PROMIS, knowware and J2EE, and the development and deployment framework, i.e.PROMIS/KW**.

  5. A knowledge-based system design/information tool

    Allen, James G.; Sikora, Scott E.

    1990-01-01

    The objective of this effort was to develop a Knowledge Capture System (KCS) for the Integrated Test Facility (ITF) at the Dryden Flight Research Facility (DFRF). The DFRF is a NASA Ames Research Center (ARC) facility. This system was used to capture the design and implementation information for NASA's high angle-of-attack research vehicle (HARV), a modified F/A-18A. In particular, the KCS was used to capture specific characteristics of the design of the HARV fly-by-wire (FBW) flight control system (FCS). The KCS utilizes artificial intelligence (AI) knowledge-based system (KBS) technology. The KCS enables the user to capture the following characteristics of automated systems: the system design; the hardware (H/W) design and implementation; the software (S/W) design and implementation; and the utilities (electrical and hydraulic) design and implementation. A generic version of the KCS was developed which can be used to capture the design information for any automated system. The deliverable items for this project consist of the prototype generic KCS and an application, which captures selected design characteristics of the HARV FCS.

  6. The Enterprise’ Performance in the Knowledge Based Society

    Nicoleta Barbuta-Misu

    2008-01-01

    Full Text Available As in the traditional enterprise, the performance of the enterprises in theknowledge based society is expressed through the same well-known financialindicators: return on equity, the profit margin, return on assets, gross margin, assetturnover, inventory turnover, the collection period, days’ sales in cash, payableperiod, fixed-asset turnover, balance sheet rations, coverage rations, market valueleverage rations, liquidity ratios, return on invested capital and many others. But,the differences that appear are in the way of acquiring at this performance in theenterprises. The actual knowledge based society is promoting the methods andmodels of the rational management that will lead to performance acquiring by theenterprises. Although as a first step, the reference to financial character as incomestatement, balance sheet, schedules to a balance sheet started to include referencesto the brain capital that is considered the success key in the businesses. In this paperI intend to present the effects on enterprise’ financial performance of the maincomponents of the brain capital: the human capital characterised through theemployees’ competences and skills; organizational capital that defines the internalstructures of the enterprises, inclusively the informatics structure and social capital,related to the enterprise relations with thirds (investors, banks, customers, suppliersetc.. The brain capital mustn’t be looked as a present vogue but as a necessity of itsconsideration and evaluation thus to the old economic-financial rules used indecision making to be added and the knowledge/information decision.

  7. Selection of construction methods: a knowledge-based approach.

    Ferrada, Ximena; Serpell, Alfredo; Skibniewski, Miroslaw

    2013-01-01

    The appropriate selection of construction methods to be used during the execution of a construction project is a major determinant of high productivity, but sometimes this selection process is performed without the care and the systematic approach that it deserves, bringing negative consequences. This paper proposes a knowledge management approach that will enable the intelligent use of corporate experience and information and help to improve the selection of construction methods for a project. Then a knowledge-based system to support this decision-making process is proposed and described. To define and design the system, semistructured interviews were conducted within three construction companies with the purpose of studying the way that the method' selection process is carried out in practice and the knowledge associated with it. A prototype of a Construction Methods Knowledge System (CMKS) was developed and then validated with construction industry professionals. As a conclusion, the CMKS was perceived as a valuable tool for construction methods' selection, by helping companies to generate a corporate memory on this issue, reducing the reliance on individual knowledge and also the subjectivity of the decision-making process. The described benefits as provided by the system favor a better performance of construction projects.

  8. Selection of Construction Methods: A Knowledge-Based Approach

    Ximena Ferrada

    2013-01-01

    Full Text Available The appropriate selection of construction methods to be used during the execution of a construction project is a major determinant of high productivity, but sometimes this selection process is performed without the care and the systematic approach that it deserves, bringing negative consequences. This paper proposes a knowledge management approach that will enable the intelligent use of corporate experience and information and help to improve the selection of construction methods for a project. Then a knowledge-based system to support this decision-making process is proposed and described. To define and design the system, semistructured interviews were conducted within three construction companies with the purpose of studying the way that the method’ selection process is carried out in practice and the knowledge associated with it. A prototype of a Construction Methods Knowledge System (CMKS was developed and then validated with construction industry professionals. As a conclusion, the CMKS was perceived as a valuable tool for construction methods’ selection, by helping companies to generate a corporate memory on this issue, reducing the reliance on individual knowledge and also the subjectivity of the decision-making process. The described benefits as provided by the system favor a better performance of construction projects.

  9. A Knowledge-based Environment for Software Process Performance Analysis

    Natália Chaves Lessa Schots

    2015-08-01

    Full Text Available Background: Process performance analysis is a key step for implementing continuous improvement in software organizations. However, the knowledge to execute such analysis is not trivial and the person responsible to executing it must be provided with appropriate support. Aim: This paper presents a knowledge-based environment, named SPEAKER, proposed for supporting software organizations during the execution of process performance analysis. SPEAKER comprises a body of knowledge and a set of activities and tasks for software process performance analysis along with supporting tools to executing these activities and tasks. Method: We conducted an informal literature reviews and a systematic mapping study, which provided basic requirements for the proposed environment. We implemented the SPEAKER environment integrating supporting tools for the execution of activities and tasks of performance analysis and the knowledge necessary to execute them, in order to meet the variability presented by the characteristics of these activities. Results: In this paper, we describe each SPEAKER module and the individual evaluations of these modules, and also present an example of use comprising how the environment can guide the user through a specific performance analysis activity. Conclusion: Although we only conducted individual evaluations of SPEAKER’s modules, the example of use indicates the feasibility of the proposed environment. Therefore, the environment as a whole will be further evaluated to verify if it attains its goal of assisting in the execution of process performance analysis by non-specialist people.

  10. Functional analysis of OMICs data and small molecule compounds in an integrated "knowledge-based" platform.

    Nikolsky, Yuri; Kirillov, Eugene; Zuev, Roman; Rakhmatulin, Eugene; Nikolskaya, Tatiana

    2009-01-01

    Analysis of microarray, SNPs, proteomics, and other high-throughput (OMICs) data is challenging because of its biological complexity and high level of technical and biological noise. One way to deal with both problems is to perform analysis with a high-fidelity annotated knowledge base of protein interactions, pathways, and functional ontologies. This knowledge base has to be structured in a computer-readable format and must include software tools for managing experimental data, analysis, and reporting. Here we present MetaDiscovery, an integrated platform for functional data analysis which is being developed at GeneGo for the past 8 years. On the content side, MetaDiscovery encompasses a comprehensive database of protein interactions of different types, pathways, network models and 10 functional ontologies covering human, mouse, and rat proteins. The analytical toolkit includes tools for gene/protein list enrichment analysis, statistical "interactome" tool for identification of over- and under-connected proteins in the data set, and a network module made up of network generation algorithms and filters. The suite also features MetaSearch, an application for combinatorial search of the database content, as well as a Java-based tool called MapEditor for drawing and editing custom pathway maps. Applications of MetaDiscovery include identification of potential biomarkers and drug targets, pathway hypothesis generation, analysis of biological effects for novel small molecule compounds, and clinical applications (analysis of large cohorts of patients and translational and personalized medicine).

  11. Towards a Food Safety Knowledge Base Applicable in Crisis Situations and Beyond.

    Falenski, Alexander; Weiser, Armin A; Thöns, Christian; Appel, Bernd; Käsbohrer, Annemarie; Filter, Matthias

    2015-01-01

    In case of contamination in the food chain, fast action is required in order to reduce the numbers of affected people. In such situations, being able to predict the fate of agents in foods would help risk assessors and decision makers in assessing the potential effects of a specific contamination event and thus enable them to deduce the appropriate mitigation measures. One efficient strategy supporting this is using model based simulations. However, application in crisis situations requires ready-to-use and easy-to-adapt models to be available from the so-called food safety knowledge bases. Here, we illustrate this concept and its benefits by applying the modular open source software tools PMM-Lab and FoodProcess-Lab. As a fictitious sample scenario, an intentional ricin contamination at a beef salami production facility was modelled. Predictive models describing the inactivation of ricin were reviewed, relevant models were implemented with PMM-Lab, and simulations on residual toxin amounts in the final product were performed with FoodProcess-Lab. Due to the generic and modular modelling concept implemented in these tools, they can be applied to simulate virtually any food safety contamination scenario. Apart from the application in crisis situations, the food safety knowledge base concept will also be useful in food quality and safety investigations.

  12. Towards a Food Safety Knowledge Base Applicable in Crisis Situations and Beyond

    Alexander Falenski

    2015-01-01

    Full Text Available In case of contamination in the food chain, fast action is required in order to reduce the numbers of affected people. In such situations, being able to predict the fate of agents in foods would help risk assessors and decision makers in assessing the potential effects of a specific contamination event and thus enable them to deduce the appropriate mitigation measures. One efficient strategy supporting this is using model based simulations. However, application in crisis situations requires ready-to-use and easy-to-adapt models to be available from the so-called food safety knowledge bases. Here, we illustrate this concept and its benefits by applying the modular open source software tools PMM-Lab and FoodProcess-Lab. As a fictitious sample scenario, an intentional ricin contamination at a beef salami production facility was modelled. Predictive models describing the inactivation of ricin were reviewed, relevant models were implemented with PMM-Lab, and simulations on residual toxin amounts in the final product were performed with FoodProcess-Lab. Due to the generic and modular modelling concept implemented in these tools, they can be applied to simulate virtually any food safety contamination scenario. Apart from the application in crisis situations, the food safety knowledge base concept will also be useful in food quality and safety investigations.

  13. A knowledge-based approach for recognition of handwritten Pitman shorthand language strokes

    P Nagabhushan; Basavaraj S Anami

    2002-12-01

    The Pitman shorthand language (PSL) is a recording medium practised in all organizations, where English is the transaction medium. It has the practical advantage of high speed of recording, more than 120-200 words per minute, because of which it is universally acknowledged. This recording medium has its continued existence in spite of considerable developments in speech processing systems, which are not universally established yet. In order to exploit the vast transcribing potential of PSL a new area of research on automation of PSL processing is conceived. It has three major steps, namely, shape recognition of PSL strokes, their validation and English text production from these strokes. The paper describes a knowledge-based approach for the recognition of PSL strokes. Information about location and the direction of the starting point and final point of strokes are considered the knowledge base for recognition of strokes. The work comprises preprocessing, determination of starting and final points, acquisition of quadrant knowledge, graph-based traversal and finally a rule-based inference process for generating phonetic equivalent of English language characters for the strokes. The proposed work is thoroughly tested for a large number of handwritten strokes.

  14. Knowledge-based modelling of historical surfaces using lidar data

    Höfler, Veit; Wessollek, Christine; Karrasch, Pierre

    2016-10-01

    Currently in archaeological studies digital elevation models are mainly used especially in terms of shaded reliefs for the prospection of archaeological sites. Hesse (2010) provides a supporting software tool for the determination of local relief models during the prospection using LiDAR scans. Furthermore the search for relicts from WW2 is also in the focus of his research. In James et al. (2006) the determined contour lines were used to reconstruct locations of archaeological artefacts such as buildings. This study is much more and presents an innovative workflow of determining historical high resolution terrain surfaces using recent high resolution terrain models and sedimentological expert knowledge. Based on archaeological field studies (Franconian Saale near Bad Neustadt in Germany) the sedimentological analyses shows that archaeological interesting horizon and geomorphological expert knowledge in combination with particle size analyses (Koehn, DIN ISO 11277) are useful components for reconstructing surfaces of the early Middle Ages. Furthermore the paper traces how it is possible to use additional information (extracted from a recent digital terrain model) to support the process of determination historical surfaces. Conceptual this research is based on methodology of geomorphometry and geo-statistics. The basic idea is that the working procedure is based on the different input data. One aims at tracking the quantitative data and the other aims at processing the qualitative data. Thus, the first quantitative data were available for further processing, which were later processed with the qualitative data to convert them to historical heights. In the final stage of the workflow all gathered information are stored in a large data matrix for spatial interpolation using the geostatistical method of Kriging. Besides the historical surface, the algorithm also provides a first estimation of accuracy of the modelling. The presented workflow is characterized by a high

  15. Development of a Prototype Model-Form Uncertainty Knowledge Base

    Green, Lawrence L.

    2016-01-01

    Uncertainties are generally classified as either aleatory or epistemic. Aleatory uncertainties are those attributed to random variation, either naturally or through manufacturing processes. Epistemic uncertainties are generally attributed to a lack of knowledge. One type of epistemic uncertainty is called model-form uncertainty. The term model-form means that among the choices to be made during a design process within an analysis, there are different forms of the analysis process, which each give different results for the same configuration at the same flight conditions. Examples of model-form uncertainties include the grid density, grid type, and solver type used within a computational fluid dynamics code, or the choice of the number and type of model elements within a structures analysis. The objectives of this work are to identify and quantify a representative set of model-form uncertainties and to make this information available to designers through an interactive knowledge base (KB). The KB can then be used during probabilistic design sessions, so as to enable the possible reduction of uncertainties in the design process through resource investment. An extensive literature search has been conducted to identify and quantify typical model-form uncertainties present within aerospace design. An initial attempt has been made to assemble the results of this literature search into a searchable KB, usable in real time during probabilistic design sessions. A concept of operations and the basic structure of a model-form uncertainty KB are described. Key operations within the KB are illustrated. Current limitations in the KB, and possible workarounds are explained.

  16. An integrated knowledge-based and optimization tool for the sustainable selection of wastewater treatment process concepts

    Castillo, A.; Cheali, Peam; Gómez, V.

    2016-01-01

    The increasing demand on wastewater treatment plants (WWTPs) has involved an interest in improving the alternative treatment selection process. In this study, an integrated framework including an intelligent knowledge-based system and superstructure-based optimization has been developed and applied...... variation in influent concentrations. For the case study application, the expert system identifies 5 potential process technologies and, using this input, the superstructure identifies membrane bioreactors as the optimal and robust solution under influent uncertainties and tighter effluent limits. A mutual...

  17. GARN: Sampling RNA 3D Structure Space with Game Theory and Knowledge-Based Scoring Strategies.

    Boudard, Mélanie; Bernauer, Julie; Barth, Dominique; Cohen, Johanne; Denise, Alain

    2015-01-01

    Cellular processes involve large numbers of RNA molecules. The functions of these RNA molecules and their binding to molecular machines are highly dependent on their 3D structures. One of the key challenges in RNA structure prediction and modeling is predicting the spatial arrangement of the various structural elements of RNA. As RNA folding is generally hierarchical, methods involving coarse-grained models hold great promise for this purpose. We present here a novel coarse-grained method for sampling, based on game theory and knowledge-based potentials. This strategy, GARN (Game Algorithm for RNa sampling), is often much faster than previously described techniques and generates large sets of solutions closely resembling the native structure. GARN is thus a suitable starting point for the molecular modeling of large RNAs, particularly those with experimental constraints. GARN is available from: http://garn.lri.fr/.

  18. Knowledge-based biomedical word sense disambiguation: comparison of approaches

    Aronson Alan R

    2010-11-01

    Full Text Available Abstract Background Word sense disambiguation (WSD algorithms attempt to select the proper sense of ambiguous terms in text. Resources like the UMLS provide a reference thesaurus to be used to annotate the biomedical literature. Statistical learning approaches have produced good results, but the size of the UMLS makes the production of training data infeasible to cover all the domain. Methods We present research on existing WSD approaches based on knowledge bases, which complement the studies performed on statistical learning. We compare four approaches which rely on the UMLS Metathesaurus as the source of knowledge. The first approach compares the overlap of the context of the ambiguous word to the candidate senses based on a representation built out of the definitions, synonyms and related terms. The second approach collects training data for each of the candidate senses to perform WSD based on queries built using monosemous synonyms and related terms. These queries are used to retrieve MEDLINE citations. Then, a machine learning approach is trained on this corpus. The third approach is a graph-based method which exploits the structure of the Metathesaurus network of relations to perform unsupervised WSD. This approach ranks nodes in the graph according to their relative structural importance. The last approach uses the semantic types assigned to the concepts in the Metathesaurus to perform WSD. The context of the ambiguous word and semantic types of the candidate concepts are mapped to Journal Descriptors. These mappings are compared to decide among the candidate concepts. Results are provided estimating accuracy of the different methods on the WSD test collection available from the NLM. Conclusions We have found that the last approach achieves better results compared to the other methods. The graph-based approach, using the structure of the Metathesaurus network to estimate the relevance of the Metathesaurus concepts, does not perform well

  19. Design of Multi-attribute Knowledge Base Based on Hybrid Knowledge Representation

    TANG Zhi-jie; YANG Bao-an; ZHANG Ke-jing

    2006-01-01

    Based on the knowledge representation and knowledge reasoning, this paper addresses the creation of the multiattribute knowledge base on the basis of hybrid knowledge representation, with the help of object-oriented programming language and relational database. Compared with general knowledge base, multi-attribute knowledge base can enhance the ability of knowledge processing and application;integrate the heterogeneous knowledge, such as model,symbol, case-based sample knowledge; and support the whole decision process by integrated reasoning.

  20. Systems, methods and apparatus for verification of knowledge-based systems

    Hinchey, Michael G. (Inventor); Rash, James L. (Inventor); Erickson, John D. (Inventor); Gracinin, Denis (Inventor); Rouff, Christopher A. (Inventor)

    2010-01-01

    Systems, methods and apparatus are provided through which in some embodiments, domain knowledge is translated into a knowledge-based system. In some embodiments, a formal specification is derived from rules of a knowledge-based system, the formal specification is analyzed, and flaws in the formal specification are used to identify and correct errors in the domain knowledge, from which a knowledge-based system is translated.

  1. Support of education for the knowledge-based economy in Mexico

    Cvernová, Terezie

    2015-01-01

    The aim of this thesis is an analysis of the educational system in Mexico, the role it plays in the knowledge-based economy and the country's ability to compete globally. The practical part of this thesis is focused on a comparison of the knowledge-based economy in Mexico with Latin American and OECD selected countries. The emphasis is placed upon education. The case study compares public and private education in Mexico and their support to the knowledge-based economy.

  2. An ontological knowledge based system for selection of process monitoring and analysis tools

    Singh, Ravendra; Gernaey, Krist; Gani, Rafiqul

    2010-01-01

    monitoring and analysis tools for a wide range of operations has made their selection a difficult, time consuming and challenging task. Therefore, an efficient and systematic knowledge base coupled with an inference system is necessary to support the optimal selection of process monitoring and analysis tools......, satisfying the process and user constraints. A knowledge base consisting of the process knowledge as well as knowledge on measurement methods and tools has been developed. An ontology has been designed for knowledge representation and management. The developed knowledge base has a dual feature. On the one...... procedures has been developed to retrieve the data/information stored in the knowledge base....

  3. Development of a Knowledge Base for Enduser Consultation of AAL-Systems.

    Röll, Natalie; Stork, Wilhelm; Rosales, Bruno; Stephan, René; Knaup, Petra

    2016-01-01

    Manufacturer information, user experiences and product availability of assistive living technologies are usually not known to citizens or consultation centers. The different knowledge levels concerning the availability of technology shows the need for building up a knowledge base. The aim of this contribution is the definition of requirements in the development of knowledge bases for AAL consultations. The major requirements, such as a maintainable and easy to use structure were implemented into a web based knowledge base, which went productive in ~3700 consulting interviews of municipal technology information centers. Within this field phase the implementation of the requirements for a knowledge base in the field of AAL consulting was evaluated and further developed.

  4. In Pursuit of Natural Logics for Ontology-Structured Knowledge Bases

    Nilsson, Jørgen Fischer

    2015-01-01

    We argue for adopting a form of natural logic for ontology-structured knowledge bases with complex sentences. This serves to ease reading of knowledge base for domain experts and to make reasoning and querying and path-finding more comprehensible. We explain natural logic as a development from...

  5. Challenges and opportunities for transition to knowledge-based economy in Arab Gulf countries

    Nour, S.

    2014-01-01

    This paper uses the descriptive and comparative approaches and uses the OECD (1996) definition of knowledge-based economy, the World Bank Knowledge Index and Knowledge Economy Index and other indicators to examine progress and challenges in transition to knowledge-based economies in Arab Gulf countr

  6. Towards evidence-based writing decisions: The Knowledge Base Comprehensible Text

    Lentz, Leo; Pander Maat, Henk; Sanders, Ted

    2014-01-01

    Purpose: This paper introduces the Knowledge Base Comprehensible Text, a digital resource containing 702 studies on comprehension and usability of text and discourse, published between 1980 and 2010. The paper explains which publications were included in the knowledge base, how they were collected,

  7. European Cities in the Knowledge-Based Economy: Observations and Policy Challenges

    Van Winden, W.

    2009-01-01

    This essay discusses a set of related issues concerning the urban transition towards a knowledge-based economy. First, it deals with the uneven distribution of economic growth among various types of cities in the knowledge-based economy; second, it reflects on emerging economic and social divisions

  8. Knowledge base and neural network approach for protein secondary structure prediction.

    Patel, Maulika S; Mazumdar, Himanshu S

    2014-11-21

    Protein structure prediction is of great relevance given the abundant genomic and proteomic data generated by the genome sequencing projects. Protein secondary structure prediction is addressed as a sub task in determining the protein tertiary structure and function. In this paper, a novel algorithm, KB-PROSSP-NN, which is a combination of knowledge base and modeling of the exceptions in the knowledge base using neural networks for protein secondary structure prediction (PSSP), is proposed. The knowledge base is derived from a proteomic sequence-structure database and consists of the statistics of association between the 5-residue words and corresponding secondary structure. The predicted results obtained using knowledge base are refined with a Backpropogation neural network algorithm. Neural net models the exceptions of the knowledge base. The Q3 accuracy of 90% and 82% is achieved on the RS126 and CB396 test sets respectively which suggest improvement over existing state of art methods.

  9. A JAVA implementation of a medical knowledge base for decision support.

    Ambrosiadou, V; Goulis, D; Shankararaman, V; Shamtani, G

    1999-01-01

    Distributed decision support is a challenging issue requiring the implementation of advanced computer science techniques together with tools of development which offer ease of communication and efficiency of searching and control performance. This paper presents a JAVA implementation of a knowledge base model called ARISTOTELES which may be used in order to support the development of the medical knowledge base by clinicians in diverse specialised areas of interest. The advantages that are evident by the application of such a cognitive model are ease of knowledge acquisition, modular construction of the knowledge base and greater acceptance from clinicians.

  10. TRENDS IN DELIVERING EDUCATIONAL SERVICES WITHIN THE KNOWLEDGE-BASED SOCIETY

    ZAMFIR Andreea

    2010-12-01

    Full Text Available Education and implicitly educational services become extremely important in the context of the knowledge-based society. Therefore, this study investigates the trends in delivering services identified through research of literature, as well as based on personal experience in providing educational services. It has been concluded that information and communication technology creates a vast opportunity to improve the way of delivering educational services within the knowledge-based society, to develop (educate peoples awareness of the need for knowledge, as well as their skills for the knowledge-based society.

  11. Automated knowledge acquisition for second generation knowledge base systems: A conceptual analysis and taxonomy

    Williams, K.E.; Kotnour, T.

    1991-01-01

    In this paper, we present a conceptual analysis of knowledge-base development methodologies. The purpose of this research is to help overcome the high cost and lack of efficiency in developing knowledge base representations for artificial intelligence applications. To accomplish this purpose, we analyzed the available methodologies and developed a knowledge-base development methodology taxonomy. We review manual, machine-aided, and machine-learning methodologies. A set of developed characteristics allows description and comparison among the methodologies. We present the results of this conceptual analysis of methodologies and recommendations for development of more efficient and effective tools.

  12. Automated knowledge acquisition for second generation knowledge base systems: A conceptual analysis and taxonomy

    Williams, K.E.; Kotnour, T.

    1991-12-31

    In this paper, we present a conceptual analysis of knowledge-base development methodologies. The purpose of this research is to help overcome the high cost and lack of efficiency in developing knowledge base representations for artificial intelligence applications. To accomplish this purpose, we analyzed the available methodologies and developed a knowledge-base development methodology taxonomy. We review manual, machine-aided, and machine-learning methodologies. A set of developed characteristics allows description and comparison among the methodologies. We present the results of this conceptual analysis of methodologies and recommendations for development of more efficient and effective tools.

  13. Knowledge-based prediction of three-dimensional dose distributions for external beam radiotherapy

    Shiraishi, Satomi; Moore, Kevin L., E-mail: kevinmoore@ucsd.edu [Department of Radiation Medicine and Applied Sciences, University of California, San Diego, La Jolla, California 92093 (United States)

    2016-01-15

    Purpose: To demonstrate knowledge-based 3D dose prediction for external beam radiotherapy. Methods: Using previously treated plans as training data, an artificial neural network (ANN) was trained to predict a dose matrix based on patient-specific geometric and planning parameters, such as the closest distance (r) to planning target volume (PTV) and organ-at-risks (OARs). Twenty-three prostate and 43 stereotactic radiosurgery/radiotherapy (SRS/SRT) cases with at least one nearby OAR were studied. All were planned with volumetric-modulated arc therapy to prescription doses of 81 Gy for prostate and 12–30 Gy for SRS. Using these clinically approved plans, ANNs were trained to predict dose matrix and the predictive accuracy was evaluated using the dose difference between the clinical plan and prediction, δD = D{sub clin} − D{sub pred}. The mean (〈δD{sub r}〉), standard deviation (σ{sub δD{sub r}}), and their interquartile range (IQR) for the training plans were evaluated at a 2–3 mm interval from the PTV boundary (r{sub PTV}) to assess prediction bias and precision. Initially, unfiltered models which were trained using all plans in the cohorts were created for each treatment site. The models predict approximately the average quality of OAR sparing. Emphasizing a subset of plans that exhibited superior to the average OAR sparing during training, refined models were created to predict high-quality rectum sparing for prostate and brainstem sparing for SRS. Using the refined model, potentially suboptimal plans were identified where the model predicted further sparing of the OARs was achievable. Replans were performed to test if the OAR sparing could be improved as predicted by the model. Results: The refined models demonstrated highly accurate dose distribution prediction. For prostate cases, the average prediction bias for all voxels irrespective of organ delineation ranged from −1% to 0% with maximum IQR of 3% over r{sub PTV} ∈ [ − 6, 30] mm. The

  14. Sustaining “Lilliputs” in the Global Knowledge-Based Economy: Prospects for Micro, Small, and Medium-Scale Enterprises in the Developing World

    Maria Divina Gracia Z. Roldan

    2015-06-01

    Full Text Available Micro, small, and medium-scale enterprises (MSMEs comprise bulk of business entities in the developing world. Their contribution is seen in terms of employment generation and capital formation. Seen as the engine of growth in present knowledge-based economies, MSMEs play a crucial role in the economic sustainability of Asian developing countries. This paper discusses the role of MSMEs in Asia, with the Philippines as a case in point. It examines issues and challenges these enterprises face, as well as, their role and impact in developing the Philippine economy and human capital. It explores mechanisms of European linkaging and assistance to the Philippine MSME sector. The paper posits that a supportive policy environment is necessary for these enterprises to achieve their potential for sustainable growth in a global knowledge-based economy. Keywords: Sustainability, micro, small & medium-scale enterprises, knowledge-based economy, European linkaging mechanisms

  15. A Knowledge Based Interactive System for Complex Product Design

    Gayretli, Ahmet

    This research presents a new Artificial Intelligence (AI) based product development approach for integrating mechanical design with electronic design to improve design and manufacture of electromechanical products by avoiding design conflicts in the early stages of the design process. The proposed approach has been implemented in a Delphi based environment integrated with a CAD system. The system assists designers from different disciplines in evaluating complex systems as far as parts relation, potential effects on each other, conflict management, costs, weight and physical constraints are concerned in the early design stages. This helps the designers to avoid design iterations leading to longer lead-time, hence increased cost. The developed system enables to rapidly develop and evaluate new complex products and add new functions to the existing products within given constraints.

  16. Knowledge-based sea ice classification by polarimetric SAR

    Skriver, Henning; Dierking, Wolfgang

    2004-01-01

    Polarimetric SAR images acquired at C- and L-band over sea ice in the Greenland Sea, Baltic Sea, and Beaufort Sea have been analysed with respect to their potential for ice type classification. The polarimetric data were gathered by the Danish EMISAR and the US AIRSAR which both are airborne...... systems. A hierarchical classification scheme was chosen for sea ice because our knowledge about magnitudes, variations, and dependences of sea ice signatures can be directly considered. The optimal sequence of classification rules and the rules themselves depend on the ice conditions/regimes. The use...... of the polarimetric phase information improves the classification only in the case of thin ice types but is not necessary for thicker ice (above about 30 cm thickness)...

  17. Application of knowledge-based approaches in software architecture : A systematic mapping study

    Li, Zengyang; Liang, Peng; Avgeriou, Paris

    2013-01-01

    Context: Knowledge management technologies have been employed across software engineering activities for more than two decades. Knowledge-based approaches can be used to facilitate software architecting activities (e.g., architectural evaluation). However, there is no comprehensive understanding on

  18. R—Calculus for ELP:An Operational Approach to Knowledge Base Maintenance

    沈宁川; 李未

    1997-01-01

    Sme concepts used in knowledge base maintenace,such as sequence,new law,user's rejection and reconstructions of a knowledge base,are first introduced,and then a framework for extended logic programming(ELP)is given,where an extended logic program is equivalent to a knowledge base.A transition system called R-calculus for ELP is provided.For a given knowledge base and a user's rejection,the R-calculus for ELP will deduce best revisions of the base.The soundness and the completeness of the R-calculus for ELP are proved,and the R-calculus for ELP is implemented in Prolog.In addition,the research is compared with other relevant work.

  19. Application of Knowledge Based Systems for Child Performance Analysis in an Online Montessori Management System

    Siti Hajar Khairuddin

    2012-01-01

    Full Text Available This paper focuses on the application of knowledge based systems for child performance analysis in an online Montessori module. Using knowledge based techniques, the system generates an automatic analysis based on the teacher's answers to a variety of questions about a child's performance of a specific Montessori activity. The questions were created through a study of the criteria used to assess the level of a child's performance and achievement. This prototype is designed as a proof-of-concept, to show how the knowledge base technique could be applied. To design the prototype, we conducted literature reviews on the delivery of Montessori methods and the knowledge base technique, and compared rule -based and case -based reasoning.  We selected rule-based reasoning for the concept prototype since it is suitable for Montessori activities which are well defined and easy to acquire.

  20. Risk Management of New Microelectronics for NASA: Radiation Knowledge-base

    LaBel, Kenneth A.

    2004-01-01

    Contents include the following: NASA Missions - implications to reliability and radiation constraints. Approach to Insertion of New Technologies Technology Knowledge-base development. Technology model/tool development and validation. Summary comments.

  1. FOOD SCIENCE AND TECHNOLOGY ACROSS EUROPE 15. SCIENTIFIC KNOWLEDGE BASE AND DIFFERENCES IN QUALITY

    Acosta, Manuel; Coronado, Daniel; FERRANDIZ, Esther; LEON, Dolores; Moreno, Pedro

    2015-01-01

    This paper contributes with some insights into scientific knowledge base in food industry at the regional level in Europe 15. We argue that science production by universities is not enough to create a scientific knowledge base. An additional requirement is counting on some standards of quality for being useful to firms. We explore this line of inquiry by first examining the regional distribution of food science across Europe and its relationship with the production of technology in the Europe...

  2. A NASA/RAE cooperation in the development of a real-time knowledge based autopilot

    Daysh, Colin; Corbin, Malcolm; Butler, Geoff; Duke, Eugene L.; Belle, Steven D.; Brumbaugh, Randal W.

    1991-01-01

    As part of a US/UK cooperative aeronautical research program, a joint activity between NASA-Ames and the Royal Aerospace Establishment on Knowledge Based Systems (KBS) was established. This joint activity is concerned with tools and techniques for the implementation and validation of real-time KBS. The proposed next stage of the research is described, in which some of the problems of implementing and validating a Knowledge Based Autopilot (KBAP) for a generic high performance aircraft will be studied.

  3. Hippocampome.org: a knowledge base of neuron types in the rodent hippocampus.

    Wheeler, Diek W; White, Charise M; Rees, Christopher L; Komendantov, Alexander O; Hamilton, David J; Ascoli, Giorgio A

    2015-09-24

    Hippocampome.org is a comprehensive knowledge base of neuron types in the rodent hippocampal formation (dentate gyrus, CA3, CA2, CA1, subiculum, and entorhinal cortex). Although the hippocampal literature is remarkably information-rich, neuron properties are often reported with incompletely defined and notoriously inconsistent terminology, creating a formidable challenge for data integration. Our extensive literature mining and data reconciliation identified 122 neuron types based on neurotransmitter, axonal and dendritic patterns, synaptic specificity, electrophysiology, and molecular biomarkers. All ∼3700 annotated properties are individually supported by specific evidence (∼14,000 pieces) in peer-reviewed publications. Systematic analysis of this unprecedented amount of machine-readable information reveals novel correlations among neuron types and properties, the potential connectivity of the full hippocampal circuitry, and outstanding knowledge gaps. User-friendly browsing and online querying of Hippocampome.org may aid design and interpretation of both experiments and simulations. This powerful, simple, and extensible neuron classification endeavor is unique in its detail, utility, and completeness.

  4. EENdb: a database and knowledge base of ZFNs and TALENs for endonuclease engineering.

    Xiao, An; Wu, Yingdan; Yang, Zhipeng; Hu, Yingying; Wang, Weiye; Zhang, Yutian; Kong, Lei; Gao, Ge; Zhu, Zuoyan; Lin, Shuo; Zhang, Bo

    2013-01-01

    We report here the construction of engineered endonuclease database (EENdb) (http://eendb.zfgenetics.org/), a searchable database and knowledge base for customizable engineered endonucleases (EENs), including zinc finger nucleases (ZFNs) and transcription activator-like effector nucleases (TALENs). EENs are artificial nucleases designed to target and cleave specific DNA sequences. EENs have been shown to be a very useful genetic tool for targeted genome modification and have shown great potentials in the applications in basic research, clinical therapies and agricultural utilities, and they are specifically essential for reverse genetics research in species where no other gene targeting techniques are available. EENdb contains over 700 records of all the reported ZFNs and TALENs and related information, such as their target sequences, the peptide components [zinc finger protein-/transcription activator-like effector (TALE)-binding domains, FokI variants and linker peptide/framework], the efficiency and specificity of their activities. The database also lists EEN engineering tools and resources as well as information about forms and types of EENs, EEN screening and construction methods, detection methods for targeting efficiency and many other utilities. The aim of EENdb is to represent a central hub for EEN information and an integrated solution for EEN engineering. These studies may help to extract in-depth properties and common rules regarding ZFN or TALEN efficiency through comparison of the known ZFNs or TALENs.

  5. Human Disease Insight: An integrated knowledge-based platform for disease-gene-drug information.

    Tasleem, Munazzah; Ishrat, Romana; Islam, Asimul; Ahmad, Faizan; Hassan, Md Imtaiyaz

    2016-01-01

    The scope of the Human Disease Insight (HDI) database is not limited to researchers or physicians as it also provides basic information to non-professionals and creates disease awareness, thereby reducing the chances of patient suffering due to ignorance. HDI is a knowledge-based resource providing information on human diseases to both scientists and the general public. Here, our mission is to provide a comprehensive human disease database containing most of the available useful information, with extensive cross-referencing. HDI is a knowledge management system that acts as a central hub to access information about human diseases and associated drugs and genes. In addition, HDI contains well-classified bioinformatics tools with helpful descriptions. These integrated bioinformatics tools enable researchers to annotate disease-specific genes and perform protein analysis, search for biomarkers and identify potential vaccine candidates. Eventually, these tools will facilitate the analysis of disease-associated data. The HDI provides two types of search capabilities and includes provisions for downloading, uploading and searching disease/gene/drug-related information. The logistical design of the HDI allows for regular updating. The database is designed to work best with Mozilla Firefox and Google Chrome and is freely accessible at http://humandiseaseinsight.com.

  6. DBD-Hunter: a knowledge-based method for the prediction of DNA-protein interactions.

    Gao, Mu; Skolnick, Jeffrey

    2008-07-01

    The structures of DNA-protein complexes have illuminated the diversity of DNA-protein binding mechanisms shown by different protein families. This lack of generality could pose a great challenge for predicting DNA-protein interactions. To address this issue, we have developed a knowledge-based method, DNA-binding Domain Hunter (DBD-Hunter), for identifying DNA-binding proteins and associated binding sites. The method combines structural comparison and the evaluation of a statistical potential, which we derive to describe interactions between DNA base pairs and protein residues. We demonstrate that DBD-Hunter is an accurate method for predicting DNA-binding function of proteins, and that DNA-binding protein residues can be reliably inferred from the corresponding templates if identified. In benchmark tests on approximately 4000 proteins, our method achieved an accuracy of 98% and a precision of 84%, which significantly outperforms three previous methods. We further validate the method on DNA-binding protein structures determined in DNA-free (apo) state. We show that the accuracy of our method is only slightly affected on apo-structures compared to the performance on holo-structures cocrystallized with DNA. Finally, we apply the method to approximately 1700 structural genomics targets and predict that 37 targets with previously unknown function are likely to be DNA-binding proteins. DBD-Hunter is freely available at http://cssb.biology.gatech.edu/skolnick/webservice/DBD-Hunter/.

  7. Proceedings of the 25th Seismic Research Review -- Nuclear Explosion Monitoring: Building the Knowledge Base

    Chavez, Francesca C. [Editor; Mendius, E. Louise [Editor

    2003-09-23

    These proceedings contain papers prepared for the 25th Seismic Research Review -- Nuclear Explosion Monitoring: Building the Knowledge Base, held 23-25 September, 2003 in Tucson, Arizona. These papers represent the combined research related to ground-based nuclear explosion monitoring funded by the National Nuclear Security Administration (NNSA), Defense Threat Reduction Agency (DTRA), Air Force Research Laboratory (AFRL), US Army Space and Missile Defense Command, and other invited sponsors. The scientific objectives of the research are to improve the United States capability to detect, locate, and identify nuclear explosions. The purpose of the meeting is to provide the sponsoring agencies, as well as potential users, an opportunity to review research accomplished during the preceding year and to discuss areas of investigation for the coming year. For the researchers, it provides a forum for the exchange of scientific information toward achieving program goals, and an opportunity to discuss results and future plans. Paper topics include: seismic regionalization and calibration; detection and location of sources; wave propagation from source to receiver; the nature of seismic sources, including mining practices; hydroacoustic, infrasound, and radionuclide methods; on-site inspection; and data processing.

  8. Presidential Helicopter Acquisition: Program Established Knowledge-Based Business Case and Entered System Development with Plans for Managing Challenges

    2015-04-14

    Presidential Helicopter Acquisition: Program Established Knowledge -Based Business Case and Entered System Development with Plans for Managing Challenges...Presidential Helicopter Acquisition: Program Established Knowledge -Based Business Case and Entered System Development with Plans for Managing...progress by establishing a knowledge - based business case for entry into system development that included an approved cost, schedule and performance

  9. FROM KNOWLEDGE-BASED ECONOMY TO ... KNOWLEDGE-BASED ECONOMY? REFLECTIONS OF CHANGES IN THE ECONOMY AND DEVELOPMENT POLICIES IN THE NORTH EAST OF ENGLAND

    2009-01-01

    Abstract Against the background of claims made about the emergence of a new Knowledge-based Economy, I explore the role of knowledge, learning and innovation in the economy and in relation to regional economic development and to successive conceptions of regional development policies through the lens of the successive transformations of a particular regional economy ? that of north east England. Rather than seeing knowledge as something that has only recently become relevant to e...

  10. Knowledge base interpolation of path-dependent data using irregularly spaced natural neighbors

    Hipp, J.; Keyser, R.; Young, C.; Shepard-Dombroski, E.; Chael, E.

    1996-08-01

    This paper summarizes the requirements for the interpolation scheme needed for the CTBT Knowledge Base and discusses interpolation issues relative to the requirements. Based on these requirements, a methodology for providing an accurate and robust interpolation scheme for the CTBT Knowledge Base is proposed. The method utilizes a Delaunay triangle tessellation to mesh the Earth`s surface and employs the natural-neighbor interpolation technique to provide accurate evaluation of geophysical data that is important for CTBT verification. The natural-neighbor interpolation method is a local weighted average technique capable of modeling sparse irregular data sets as is commonly found in the geophysical sciences. This is particularly true of the data to be contained in the CTBT Knowledge Base. Furthermore, natural neighbor interpolation is first order continuous everywhere except at the data points. The non-linear form of the natural-neighbor interpolation method can provide continuous first and second order derivatives throughout the entire data domain. Since one of the primary support functions of the Knowledge Base is to provide event location capabilities, and the seismic event location algorithms typically require first and second order continuity, this is a prime requirement of any interpolation methodology chosen for use by the CTBT Knowledge Base.

  11. IGENPRO knowledge-based digital system for process transient diagnostics and management

    Morman, J.A.; Reifman, J.; Wei, T.Y.C. [Argonne National Lab., IL (United States)] [and others

    1997-12-31

    Verification and validation issues have been perceived as important factors in the large scale deployment of knowledge-based digital systems for plant transient diagnostics and management. Research and development (R&D) is being performed on the IGENPRO package to resolve knowledge base issues. The IGENPRO approach is to structure the knowledge bases on generic thermal-hydraulic (T-H) first principles and not use the conventional event-basis structure. This allows for generic comprehensive knowledge, relatively small knowledge bases and above all the possibility of T-H system/plant independence. To demonstrate concept feasibility the knowledge structure has been implemented in the diagnostic module PRODIAG. Promising laboratory testing results have been obtained using data from the full scope Braidwood PWR operator training simulator. This knowledge structure is now being implemented in the transient management module PROMANA to treat unanticipated events and the PROTREN module is being developed to process actual plant data. Achievement of the IGENPRO R&D goals should contribute to the acceptance of knowledge-based digital systems for transient diagnostics and management.

  12. A protein relational database and protein family knowledge bases to facilitate structure-based design analyses.

    Mobilio, Dominick; Walker, Gary; Brooijmans, Natasja; Nilakantan, Ramaswamy; Denny, R Aldrin; Dejoannis, Jason; Feyfant, Eric; Kowticwar, Rupesh K; Mankala, Jyoti; Palli, Satish; Punyamantula, Sairam; Tatipally, Maneesh; John, Reji K; Humblet, Christine

    2010-08-01

    The Protein Data Bank is the most comprehensive source of experimental macromolecular structures. It can, however, be difficult at times to locate relevant structures with the Protein Data Bank search interface. This is particularly true when searching for complexes containing specific interactions between protein and ligand atoms. Moreover, searching within a family of proteins can be tedious. For example, one cannot search for some conserved residue as residue numbers vary across structures. We describe herein three databases, Protein Relational Database, Kinase Knowledge Base, and Matrix Metalloproteinase Knowledge Base, containing protein structures from the Protein Data Bank. In Protein Relational Database, atom-atom distances between protein and ligand have been precalculated allowing for millisecond retrieval based on atom identity and distance constraints. Ring centroids, centroid-centroid and centroid-atom distances and angles have also been included permitting queries for pi-stacking interactions and other structural motifs involving rings. Other geometric features can be searched through the inclusion of residue pair and triplet distances. In Kinase Knowledge Base and Matrix Metalloproteinase Knowledge Base, the catalytic domains have been aligned into common residue numbering schemes. Thus, by searching across Protein Relational Database and Kinase Knowledge Base, one can easily retrieve structures wherein, for example, a ligand of interest is making contact with the gatekeeper residue.

  13. The Particularities of the Economic Crisis in the Knowledge-Based Society

    Ion IVAN

    2011-02-01

    Full Text Available The paper presents the characteristics of the informational society and the requirements for the transition towards the knowledge based society. The informational society and the advantages it brings are described. The concepts of informatics system and informational system are described. Their roles and functions are identified. The functioning principles of the informatics systems are presented. The factors that lead to the evolution from the informational society towards the knowledge based one are identified and analyzed. The main trends in the knowledge based society are identified. For each of these trends we identify the short and long run effects and the implied consumptions of resources. Knowledge is seen in the new society as the main source of competitive advantage. Ways of transmitting knowledge are presented. The efficiency and applicability are discussed. In the knowledge based society the end-users have higher expectations regarding the products and services than before. The paper discusses the factors that lead to the structural re-equilibration in the knowledge based society. Research concepts are developed in the direction of adapting informatics applications to the target group exigencies. The paper details the quality characteristics of computer applications that are tailored to the requirements of the target group and a quality system for such applications is presented. The paper examines the benefits obtained by adapting computer applications to the target group exigencies.

  14. An algebraic approach to revising propositional rule-based knowledge bases

    LUAN ShangMin; DAI GuoZhong

    2008-01-01

    One of the important topics in knowledge base revision is to introduce an efficient implementation algorithm. Algebraic approaches have good characteristics and implementation method; they may be a choice to solve the problem. An algebraic approach is presented to revise propositional rule-based knowledge bases in this paper. A way is firstly introduced to transform a propositional rule-based knowl- edge base into a Petri net. A knowledge base is represented by a Petri net, and facts are represented by the initial marking. Thus, the consistency check of a knowledge base is equivalent to the reachability problem of Petri nets. The reachability of Petri nets can be decided by whether the state equation has a solution; hence the con- sistency check can also be implemented by algebraic approach. Furthermore, al- gorithms are introduced to revise a propositional rule-based knowledge base, as well as extended logic programming. Compared with related works, the algorithms presented in the paper are efficient, and the time complexities of these algorithms are polynomial.

  15. Exploring Non-Native EFL Teachers’ Knowledge Base: Practices and Perceptions

    Anchalee Jansem

    2014-11-01

    Full Text Available This qualitative study was conducted to explore non-native EFL teachers’ knowledge base performed during instruction, perceived knowledge base underlying teaching practices, and perceived pathways of knowledge base construction.  The data from four sources including video recordings of classroom observations, interviews, detailed field-notes taken during classroom observations, and participants’ reflections revealed that the eight participants integrated knowledge of the English language, other content areas, instructional delivery, classroom management, and the changing world and social contexts in their instruction.  The findings indicated that the participants realized that their knowledge consisted of language construction and skills, other content areas, ability to teach, understanding students’ strengths, weaknesses, and needs, the changing world, social contexts, and technology, as well as problem solving ability.  Also, they perceived teacher education programs, additional learning experience, teaching experience, in-service professional development activities, and a working environment as key sources of knowledge base construction for non-native teachers. Keywords: knowledge base, English as a Foreign language teachers, knowledge construction

  16. Establishment of a function embodiment knowledge base for supporting service design

    NEMOTO Yutaro; AKASAKA Fumiya; CHIBA Ryosuke; SHIMOMURA Yoshiki

    2012-01-01

    In service engineering,a service is represented as a functional structure that satisfies customer requirements.Specific entities and their activities axe associated with a functional structure as a way to accomplish a goal.In this phase,it is important for service designers to have broad knowledge,since entities that construct a service include both human and physical products.Therefore,the extent of the designer's knowledge is the key to the enhancement of design solutions.However,few tools to support designers in the embodiment phase have been proposed.In this paper,for the purpose of constructing a function embodiment knowledge base in service design,the representational form of knowledge is proposed,and a prototype system of function embodiment knowledge base is established.Then function embodiment knowledge is collected from multiple service cases using the prototype system,and the effectiveness of knowledge base is discussed.

  17. Communication and Knowledge: How is the knowledge base of an economy constructed?

    Leydesdorff, Loet

    2009-01-01

    The competitive advantages in a knowledge-based economy can no longer be attributed to single nodes in the network. Political economies are increasingly reshaped by knowledge-based developments that upset market equilibria and institutional arrangements. The network coordinates the subdynamics of (i) wealth production, (ii) organized novelty production, and (iii) private appropriation versus public control. The interaction terms generate a complex dynamics which cannot be expected to contain central coordination. However, the knowledge infrastructure of systems of innovations can be measured, for example, in terms of university-industry-government relations. The mutual information in these three dimensions indicates the globalization of the knowledge base. Patent statistics and data from the Internet are compared in terms of this indicator.

  18. A Knowledge-Based System Approach for Extracting Abstractions from Service Oriented Architecture Artifacts

    George Goehring

    2013-03-01

    Full Text Available Rule-based methods have traditionally been applied to develop knowledge-based systems that replicate expert performance on a deep but narrow problem domain. Knowledge engineers capture expert knowledge and encode it as a set of rules for automating the expert’s reasoning process to solve problems in a variety of domains. We describe the development of a knowledge-based system approach to enhance program comprehension of Service Oriented Architecture (SOA software. Our approach uses rule-based methods to automate the analysis of the set of artifacts involved in building and deploying a SOA composite application. The rules codify expert knowledge to abstract information from these artifacts to facilitate program comprehension and thus assist Software Engineers as they perform system maintenance activities. A main advantage of the knowledge-based approach is its adaptability to the heterogeneous and dynamically evolving nature of SOA environments.

  19. Constructing Clinical Decision Support Systems for Adverse Drug Event Prevention: A Knowledge-based Approach.

    Koutkias, Vassilis; Kilintzis, Vassilis; Stalidis, George; Lazou, Katerina; Collyda, Chrysa; Chazard, Emmanuel; McNair, Peter; Beuscart, Regis; Maglaveras, Nicos

    2010-11-13

    A knowledge-based approach is proposed that is employed for the construction of a framework suitable for the management and effective use of knowledge on Adverse Drug Event (ADE) prevention. The framework has as its core part a Knowledge Base (KB) comprised of rule-based knowledge sources, that is accompanied by the necessary inference and query mechanisms to provide healthcare professionals and patients with decision support services in clinical practice, in terms of alerts and recommendations on preventable ADEs. The relevant Knowledge Based System (KBS) is developed in the context of the EU-funded research project PSIP (Patient Safety through Intelligent Procedures in Medication). In the current paper, we present the foundations of the framework, its knowledge model and KB structure, as well as recent progress as regards the population of the KB, the implementation of the KBS, and results on the KBS verification in decision support operation.

  20. Knowledge-based System Prototype in Structural Component Design Based on FM

    JIANG; Tao; LI; Qing-fen; LI; Ming; FU; Wei

    2002-01-01

    A knowledge-based system in structural component design based on fracture mechanics is developed in this paper. The system consists of several functional parts: a general inference engine, a set of knowledge bases and data-bases, an interpretation engine, a bases administration system and the interface. It can simulate a human expert to make analysis and design scheme mainly for four kinds of typical structural components widely used in shipbuilding industry: pressure vessels, huge rotation constructions, pump-rod and welded structures. It is an open system which may be broadened and perfected to cover a wider range of engineering application through the modification and enlargement of knowledge bases and data-bases. It has a natural and friendly interface that may be easily operated. An on-line help service is also provided.

  1. On the Implications of Knowledge Bases for Regional Innovation Policies in Germany

    Hassink Robert

    2014-12-01

    Full Text Available Regional innovation policies have been criticised for being too standardised, one-size-fits-all and place-neutral in character. Embedded in these debates, this paper has two aims: first, to analyse whether industries with different knowledge bases in regions in Germany have different needs for regional innovation policies, and secondly, to investigate whether knowledge bases can contribute to the fine-tuning of regional innovation policies in particular and to a modern, tailor-made, place-based regional innovation policy in general. It concludes that although needs differ due to differences in knowledge bases, those bases are useful only to a limited extent in fine-tuning regional innovation policies

  2. K-GATE Ontology Driven Knowledge Based System for Decision Support

    Pavel Gardavsky

    2012-01-01

    Full Text Available The purpose of this paper is to describe a practical solution how to build an ontology driven knowledge based system for decision support about a domain of interest. Topic Maps standardized techniques were used for ontology building and also for keeping ontology open for new requirements. After detailed evaluation process, AToM2 software product was chosen for ontology development. Besides ontology development AToM2 provides complex tools for normalizing data into ontology both in interactive/automated way, mining knowledge from the ontology and presenting results. Software product Tovek Server was used for analysing and determining useful and domain relevant structures in unstructured content. The resulting knowledge based system is created as an output of methodological processes called Coordinated Analysis and Sharing of Information. The resulting Ontology Driven Knowledge Based System for Decision Support proposal was named K-GATE.

  3. Research on a Dispersed Knowledge Bases Based Multi-reasoning Press Process Decision System

    2002-01-01

    Based on the Internet technology and artificial int el ligence (AI) technology, this paper presents a dispersed press process knowledge bases based multi-reasoning press process decision system (DKB-MRPPD). The di spersed press process knowledge bases have been organized into case bases and ru le bases, which may be located at different enterprises, and employed to plan pr ess process by a multi-reasoning engine made up of the ART1, case reasoning and rule-based reasoning net. The architecture model of DK...

  4. Arranging ISO 13606 archetypes into a knowledge base using UML connectors.

    Kopanitsa, Georgy

    2014-01-01

    To enable the efficient reuse of standard based medical data we propose to develop a higher-level information model that will complement the archetype model of ISO 13606. This model will make use of the relationships that are specified in UML to connect medical archetypes into a knowledge base within a repository. UML connectors were analysed for their ability to be applied in the implementation of a higher-level model that will establish relationships between archetypes. An information model was developed using XML Schema notation. The model allows linking different archetypes of one repository into a knowledge base. Presently it supports several relationships and will be advanced in future.

  5. HUMAN CAPITAL’S IMPACT ON THE PERFORMANCE OF ROMANIAN KNOWLEDGE BASED COMPANIES

    Burja Camelia

    2012-12-01

    Full Text Available To meet the desiderata expressed by the implementation of knowledge-based economy, companies must reconsider development strategies and must facilitate the shift from a management largely based on resource consumption to knowledge-based management. In this view, the importance of the human factor increases, becoming a precious resource that creates value and competitiveness. This paper shows the interaction between company performance and human capital, exemplifying this aspect through a case study based on a regression model in Romanian software companies. The obtained results show the strong connection between company performance, expressed by net income, and the quality of the human capital, synthesized by labour productivity.

  6. An Orthogonal Multi-Swarm Cooperative PSO Algorithm with a Particle Trajectory Knowledge Base

    Jun Yang

    2017-01-01

    Full Text Available A novel orthogonal multi-swarm cooperative particle swarm optimization (PSO algorithm with a particle trajectory knowledge base is presented in this paper. Different from the traditional PSO algorithms and other variants of PSO, the proposed orthogonal multi-swarm cooperative PSO algorithm not only introduces an orthogonal initialization mechanism and a particle trajectory knowledge base for multi-dimensional optimization problems, but also conceives a new adaptive cooperation mechanism to accomplish the information interaction among swarms and particles. Experiments are conducted on a set of benchmark functions, and the results show its better performance compared with traditional PSO algorithm in aspects of convergence, computational efficiency and avoiding premature convergence.

  7. Knowledge-Based Economy in Argentina, Costa Rica and Mexico: A Comparative Analysis from the Bio-Economy Perspective

    Ana Barbara MUNGARAY-MOCTEZUMA

    2015-06-01

    Full Text Available The objective of this article is to determine the necessary institutional characteristics of technology and human capital in Argentina, Costa Rica and Mexico in order to evolve towards a knowledge-based economy, addressing the importance of institutions for their development. In particular, the knowledge-based economy is analyzed from the perspective of bioeconomics. Based on the Knowledge Economy Index (KEI which considers 148 indicators, in the following categories: a economic performance and institutional regime; b education and human resources, c innovation, and d information and communication technologies, we selected 13 indicators. We aim to identify the strengths and opportunities for these countries in order to meet the challenges that arise from the paradoxes of technological progress and globalization. In this sense, bioeconomy is approached as part of the economy. This analysis shows, among other things, that Argentina has greater potential to compete in an economy sustained in the creation and dissemination of knowledge, while Costa Rica has an institutional and regulatory environment that is more conducive to the development of business activities, and Mexico faces significant challenges regarding its institutional structure, economic performance and human resources.

  8. The conceptual MADE framework for pervasive and knowledge-based decision support in telemedicine

    Fung, Nick L.S.; Jones, Valerie M.; Widya, Ing; Broens, Tom H.F.; Larburu, Nekane; Bults, Richard G.A.; Shalom, Erez; Hermens, Hermie J.

    2016-01-01

    Telemedicine systems are inherently distributed, but, especially in the context of the Internet-of-Things, their complete physical configuration may only be determined after design time by considering, for example, the individual patient's needs. Therefore, to enable pervasive and knowledge-based de

  9. Elaborating the Grounding of the Knowledge Base on Language and Learning for Preservice Literacy Teachers

    Piazza, Carolyn L.; Wallat, Cynthia

    2006-01-01

    This purpose of this article is to present a qualitative inquiry into the genesis of sociolinguistics and the contributions of eight sociolinguistic pioneers. This inquiry, based on an historical interpretation of events, reformulates the concept of validation as the social construction of a scientific knowledge base, and explicates three themes…

  10. Developing a Knowledge Base for Educational Leadership and Management in East Asia

    Hallinger, Philip

    2011-01-01

    The role of school leadership in educational reform has reached the status of a truism, and led to major changes in school leader recruitment, selection, training and appraisal. While similar policy trends are evident in East Asia, the empirical knowledge base underlying these measures is distorted and lacking in validation. This paper begins by…

  11. L2 Teachers' Pedagogic Knowledge Base: A Comparison between Experienced and Less Experienced Practitioners

    Akbari, Ramin; Tajik, Leila

    2009-01-01

    Second language teacher education community has become increasingly interested in the pedagogical knowledge base of teachers as a window into practitioners' mental lives. The present study was conducted to document likely differences between the pedagogic thoughts of experienced and less experienced teachers. Eight teachers participated in the…

  12. Educational Effectiveness and Ineffectiveness: A Critical Review of the Knowledge Base

    Scheerens, Jaap

    2016-01-01

    This book is a critical assessment of the knowledge base on educational effectiveness, covering a period of five decades of research. It formulates a “lean” theory of good schooling, and identifies and explains instances of “ineffectiveness”, such as low effect sizes of malleable conditions, for whi

  13. The Impact of the Shifting Knowledge Base, from Development to Achievement, on Early Childhood Education Programs

    Tyler, Kathleen P.

    2012-01-01

    Interest in child development as a knowledge base for early childhood education programs flourished in the 1970s as a result of the theories and philosophies of Jean Piaget and other cognitive developmentalists. During subsequent decades in America, reform movements emphasizing accountability and achievement became a political and social…

  14. The Knowledge-Based Reasoning of Physical Education Teachers: A Comparison between Groups with Different Expertise

    Reuker, Sabine

    2017-01-01

    The study addresses professional vision, including the abilities of selective attention and knowledge-based reasoning. This article focuses on the latter ability. Groups with different sport-specific and pedagogical expertise (n = 60) were compared according to their observation and interpretation of sport activities in a four-field design. The…

  15. Artificial intelligence in process control: Knowledge base for the shuttle ECS model

    Stiffler, A. Kent

    1989-01-01

    The general operation of KATE, an artificial intelligence controller, is outlined. A shuttle environmental control system (ECS) demonstration system for KATE is explained. The knowledge base model for this system is derived. An experimental test procedure is given to verify parameters in the model.

  16. Using CLIPS in the domain of knowledge-based massively parallel programming

    Dvorak, Jiri J.

    1994-01-01

    The Program Development Environment (PDE) is a tool for massively parallel programming of distributed-memory architectures. Adopting a knowledge-based approach, the PDE eliminates the complexity introduced by parallel hardware with distributed memory and offers complete transparency in respect of parallelism exploitation. The knowledge-based part of the PDE is realized in CLIPS. Its principal task is to find an efficient parallel realization of the application specified by the user in a comfortable, abstract, domain-oriented formalism. A large collection of fine-grain parallel algorithmic skeletons, represented as COOL objects in a tree hierarchy, contains the algorithmic knowledge. A hybrid knowledge base with rule modules and procedural parts, encoding expertise about application domain, parallel programming, software engineering, and parallel hardware, enables a high degree of automation in the software development process. In this paper, important aspects of the implementation of the PDE using CLIPS and COOL are shown, including the embedding of CLIPS with C++-based parts of the PDE. The appropriateness of the chosen approach and of the CLIPS language for knowledge-based software engineering are discussed.

  17. Expanding the Socio-Cultural Knowledge Base of TESOL Teacher Education

    Dogancay-Aktuna, Seran

    2006-01-01

    This paper argues for the expansion of the knowledge base of TESOL teacher education to integrate greater awareness of the sociocultural and political context of teaching English to speakers of other languages. It is argued that the changing roles of teachers, insights gained from classroom research and recent developments in critical applied…

  18. Students' personal professional theories in vocational education : developing a knowledge base

    Schaap, H.

    2011-01-01

    Senior secondary vocational education needs to deliver reflective practitioners who possess an adequate knowledge base, who are able to solve complex problems and who have the ability to acquire and develop new knowledge during their further professional career. It is assumed that all types of knowl

  19. Comparing the knowledge bases of wind turbine firms in Asia and Europe

    Zhou, Yuan; Li, Xin; Lema, Rasmus;

    2016-01-01

    This study uses patent analyses to compare the knowledge bases of leading wind turbine firms in Asia and Europe. It concentrates on the following three aspects: the trajectories of key technologies, external knowledge networks, and the globalisation of knowledge application. Our analyses suggest ...

  20. The Role of Learning Goals in Building a Knowledge Base for Elementary Mathematics Teacher Education

    Jansen, Amanda; Bartell, Tonya; Berk, Dawn

    2009-01-01

    In this article, we describe features of learning goals that enable indexing knowledge for teacher education. Learning goals are the key enabler for building a knowledge base for teacher education; they define what counts as essential knowledge for prospective teachers. We argue that 2 characteristics of learning goals support knowledge-building…

  1. A knowledge-based object recognition system for applications in the space station

    Dhawan, Atam P.

    1988-01-01

    A knowledge-based three-dimensional (3D) object recognition system is being developed. The system uses primitive-based hierarchical relational and structural matching for the recognition of 3D objects in the two-dimensional (2D) image for interpretation of the 3D scene. At present, the pre-processing, low-level preliminary segmentation, rule-based segmentation, and the feature extraction are completed. The data structure of the primitive viewing knowledge-base (PVKB) is also completed. Algorithms and programs based on attribute-trees matching for decomposing the segmented data into valid primitives were developed. The frame-based structural and relational descriptions of some objects were created and stored in a knowledge-base. This knowledge-base of the frame-based descriptions were developed on the MICROVAX-AI microcomputer in LISP environment. The simulated 3D scene of simple non-overlapping objects as well as real camera data of images of 3D objects of low-complexity have been successfully interpreted.

  2. Universities and the Knowledge-Based Economy: Perceptions from a Developing Country

    Bano, Shah; Taylor, John

    2015-01-01

    This paper considers the role of universities in the creation of a knowledge-based economy (KBE) in a developing country, Pakistan. Some developing countries have moved quickly to develop a KBE, but progress in Pakistan is much slower. Higher education plays a crucial role as part of the triple helix model for innovation. Based on the perceptions…

  3. Clear as Glass: A Combined List of Print and Electronic Journals in the Knowledge Base

    Lowe, M. Sara

    2008-01-01

    The non-standard practice at Cowles Library at Drake University has been to display electronic journals and some print journals in the Knowledge Base while simultaneously listing print journals and some electronic journals in the online public access catalog (OPAC). The result was a system that made it difficult for patrons to determine our…

  4. Urban competitiveness in the knowledge based economy: Evolution paths of the Portuguese Metropolitan Areas

    Van Winden, W.; Carvalho, L.

    2007-01-01

    The chapter focuses on the growing territorial imbalances between urban regions in the light of the sometimes painful transition towards a knowledge-based economy. Drawing from the vast literature on urban competitiveness, it develops an integrative framework to asses and compare urban regions’ perf

  5. Proposing a Knowledge Base for Teaching Academic Content to English Language Learners: Disciplinary Linguistic Knowledge

    Turkan, Sultan; De Oliveira, Luciana C.; Lee, Okhee; Phelps, Geoffrey

    2014-01-01

    Background/Context: The current research on teacher knowledge and teacher accountability falls short on information about what teacher knowledge base could guide preparation and accountability of the mainstream teachers for meeting the academic needs of ELLs. Most recently, research on specialized knowledge for teaching has offered ways to…

  6. The use of legal knowledge-based systems in public administration: what can go wrong?

    Bruin, de Hugo; Prakken, Henry; Svensson, Jörgen; Bench-Capon, Trevor J.M.; Daskalopulu, Aspassia; Winkels, Radboud

    2002-01-01

    In recent years, practical applications of legal knowledge-based systems have become increasingly common. This raises the issue of their functioning in practice and their actual influence on the quality of decisions. In this paper we investigate to what extent incorrect decisions may be caused by fa

  7. The Knowledge Base of Non-Native English-Speaking Teachers: Perspectives of Teachers and Administrators

    Zhang, Fengjuan; Zhan, Ju

    2014-01-01

    This study explores the knowledge base of non-native English-speaking teachers (NNESTs) working in the Canadian English as a second language (ESL) context. By examining NNESTs' experiences in seeking employment and teaching ESL in Canada, and investigating ESL program administrators' perceptions and hiring practices in relation to NNESTs, it…

  8. A Knowledge-Based Economy Landscape: Implications for Tertiary Education and Research Training in Australia

    Davis, Heather; Evans, Terry; Hickey, Christopher

    2006-01-01

    This paper discusses the higher education sector's role in a knowledge-based economy though research training, that is, doctoral education. It also examines how a Faculty of Education supports its doctoral candidates in their endeavours to become "knowledge producers". Two themes are explored: one is Australia's limited investment in…

  9. Learning and Innovation in the Knowledge-Based Economy: Beyond Clusters and Qualifications

    James, Laura; Guile, David; Unwin, Lorna

    2013-01-01

    For over a decade policy-makers have claimed that advanced industrial societies should develop a knowledge-based economy (KBE) in response to economic globalisation and the transfer of manufacturing jobs to lower cost countries. In the UK, this vision shaped New Labour's policies for vocational education and training (VET), higher education and…

  10. The Spread of Contingent Work in the Knowledge-Based Economy

    Szabo, Katalin; Negyesi, Aron

    2005-01-01

    Permanent employment, typical of industrial societies and bolstered by numerous social guaranties, has been declining in the past 2 decades. There has been a steady expansion of various forms of contingent work. The decomposition of traditional work is a logical consequence of the characteristic patterns of the knowledge-based economy. According…

  11. Perancangan dan Implementasi Kontroler Knowledge Based-PI pada Pengaturan Kecepatan Motor Induksi 3 Fasa

    Muhammad Faisal Afif Alhamdi

    2014-03-01

    Full Text Available Tugas Akhir ini membahas desain dan implementasi kontroler Knowledge Based-PI untuk pengaturan kecepatan motor induksi 3 fasa yang diberikan efek pembebanan melalui sebuah rem elekromagnetik. Rem elektromagnetik terdiri dari beberapa kumparan yang diberi input tegangan DC melalui sebuah auto transformator (0-240V yang telah disearahkan. Prinsip dasar rem elektromagnetik menggunakan hukum Faraday dan hukum Lenz. Kedua hukum ini menimbulkan arus eddy yang melingkar dan menginduksi medan magnet sehingga dapat memberikan gaya lawan terhadap arah gaya pergerakan. Oleh karena itu dibutuhkan sebuah kontroler agar kecepatan motor tetap konstan sesuai Set Point dengan tingkatan pembebanan yang berbeda-beda. Kontroler Knowledge Based-PI dapat menjadi solusi dari permasalahan ini dengan  cara membentuk sebuah direktori parameter kontrol PI (Proportional Integrator untuk berbagai kondisi pembebanan yang dimuat ke dalam sebuah fungsi look-up table. Metode knowledge base bekerja berdasarkan pengambilan dan pencocokan data (appropriate. Adanya hubungan langsung antara input dan output, maka diperoleh banyak kemungkinan keputusan aksi kontrol. Penggunaan kontroler knowledge based-PI dapat mengurangi Error Steady State serta memberikan kemudahan dalam menentukan berbagai macam model sesuai dengan variasi pembebanan.

  12. Towards knowledge-based retrieval of medical images. The role of semantic indexing, image content representation and knowledge-based retrieval.

    Lowe, H J; Antipov, I; Hersh, W; Smith, C A

    1998-01-01

    Medicine is increasingly image-intensive. The central importance of imaging technologies such as computerized tomography and magnetic resonance imaging in clinical decision making, combined with the trend to store many "traditional" clinical images such as conventional radiographs, microscopic pathology and dermatology images in digital format present both challenges and an opportunities for the designers of clinical information systems. The emergence of Multimedia Electronic Medical Record Systems (MEMRS), architectures that integrate medical images with text-based clinical data, will further hasten this trend. The development of these systems, storing a large and diverse set of medical images, suggests that in the future MEMRS will become important digital libraries supporting patient care, research and education. The representation and retrieval of clinical images within these systems is problematic as conventional database architectures and information retrieval models have, until recently, focused largely on text-based data. Medical imaging data differs in many ways from text-based medical data but perhaps the most important difference is that the information contained within imaging data is fundamentally knowledge-based. New representational and retrieval models for clinical images will be required to address this issue. Within the Image Engine multimedia medical record system project at the University of Pittsburgh we are evolving an approach to representation and retrieval of medical images which combines semantic indexing using the UMLS Metathesuarus, image content-based representation and knowledge-based image analysis.

  13. KNOWLEDGE BASE OF PROJECT MANAGERS IN THE SOUTH AFRICAN ICT SECTOR

    Robert T. Hans

    2012-01-01

    Full Text Available The primary purpose of this research study is two-fold: Firstly, to establish the knowledge base of project managers in the South African ICT Sector. Secondly, to establish whether project management as a discipline is regarded as an important profession in the South African ICT Sector. The paper based on a questionnaire analyses and discusses the knowledge base of project managers of ICT organisations listed on the Johannesburg Securities Exchange (JSE as well as the perceived importance of project management in the South African ICT Sector. The project managers lack some project management knowledge base in some of the nine categories of competencies. This confirms some of the findings by Rwelamila (2007 that project management training programmes offered by institutions of higher learning in South Africa are skewed. This paper also established that the organisations in the South African ICT Sector recognise project management as an important profession. The lack of some project management fundamental knowledge base by project managers necessitate that the organisations concerned should implement some of the following: review project management training programmes and implement mentoring and coaching programmes. This article reveals the knowledge base gaps of project managers in the South African ICT Sector. It also reveals whether project management is regarded as an important profession by organisations in the South African ICT Sector. It complements another research study done by Rwelamila (2007 in South Africa. It is directed to the South African organisations in the ICT Sector as well as institutions of higher learning in South Africa that offer project management training programmes.

  14. Investigation of the Possibilities for Interdisciplinary Co-operation by the Use of Knowledge-based System

    Ágnes Szeghegyi

    2007-08-01

    Full Text Available Each problem always originates from constraints. The decision is a response tothe challenges by the environment. In order to chose appropriate decision supporttechniques the structural complexity of the problem has to be determined. The aim of theapplication of knowledge based systems is to obtain decision support. In this paper theapplication of the system ‘Doctus’ is illustrated and exemplified in connection withprocessing the problem of the potential co-operation between the industrial companies andinstitutes of higher education. The analysis was carried out by the application of inductiveand deductive inference procedures taking into account the requirements of the companiesand the abilities and skills of the higher educational institutions. The assessment of theresults obtained may generate further dilemmas for the solution of which appropriateknowledge bases can be brought about or the already existing ones have to be refined.

  15. Patents to Exclude vs. Include: Rethinking the Management of Intellectual Property Rights in a Knowledge-Based Economy

    Julien Pénin

    2011-12-01

    Full Text Available Traditional patent theory emphasizes the importance of patents for excluding imitators. This view is far too restrictive and is at odds with many empirical and theoretical works. Therefore, we propose an analysis of patent management that considers the properties of knowledge-based economies explicitly. Patents are thus shown to be critical instruments for coordinating innovative activities between firms. They not only exclude potential infringers, but also “include” all the heterogeneous stakeholders of the innovation process. Patents facilitate coordination via two mechanisms: they encourage the emergence of markets for technology (market coordination and they play an important role in formal and informal inter-firm collaboration (non-market coordination. We also link firms’ patenting strategy with the characteristics of the technological regime of their sector.

  16. Knowledge-Based Innovation Systems and the Model of a Triple Helix of University-Industry-Government Relations

    Leydesdorff, Loet

    2010-01-01

    The (neo-)evolutionary model of a Triple Helix of University-Industry-Government Relations focuses on the overlay of expectations, communications, and interactions that potentially feed back on the institutional arrangements among the carrying agencies. From this perspective, the evolutionary perspective in economics can be complemented with the reflexive turn from sociology. The combination provides a richer understanding of how knowledge-based systems of innovation are shaped and reconstructed. The communicative capacities of the carrying agents become crucial to the system's further development, whereas the institutional arrangements (e.g., national systems) can be expected to remain under reconstruction. The tension of the differentiation no longer needs to be resolved, since the network configurations are reproduced by means of translations among historically changing codes. Some methodological and epistemological implications for studying innovation systems are explicated.

  17. Fuel lattice design in a boiling water reactor using a knowledge-based automation system

    Tung, Wu-Hsiung, E-mail: wstong@iner.gov.tw; Lee, Tien-Tso; Kuo, Weng-Sheng; Yaur, Shung-Jung

    2015-11-15

    Highlights: • An automation system was developed for the fuel lattice radial design of BWRs. • An enrichment group peaking equalizing method is applied to optimize the design. • Several heuristic rules and restrictions are incorporated to facilitate the design. • The CPU time for the system to design a 10x10 lattice was less than 1.2 h. • The beginning-of-life LPF was improved from 1.319 to 1.272 for one of the cases. - Abstract: A knowledge-based fuel lattice design automation system for BWRs is developed and applied to the design of 10 × 10 fuel lattices. The knowledge implemented in this fuel lattice design automation system includes the determination of gadolinium fuel pin location, the determination of fuel pin enrichment and enrichment distribution. The optimization process starts by determining the gadolinium distribution based on the pin power distribution of a flat enrichment lattice and some heuristic rules. Next, a pin power distribution flattening and an enrichment grouping process are introduced to determine the enrichment of each fuel pin enrichment type and the initial enrichment distribution of a fuel lattice design. Finally, enrichment group peaking equalizing processes are performed to achieve lower lattice peaking. Several fuel lattice design constraints are also incorporated in the automation system such that the system can accomplish a design which meets the requirements of practical use. Depending on the axial position of the lattice, a different method is applied in the design of the fuel lattice. Two typical fuel lattices with U{sup 235} enrichment of 4.471% and 4.386% were taken as references. Application of the method demonstrates that improved lattice designs can be achieved through the enrichment grouping and the enrichment group peaking equalizing method. It takes about 11 min and 1 h 11 min of CPU time for the automation system to accomplish two design cases on an HP-8000 workstation, including the execution of CASMO-4

  18. The Construction and Globalization of the Knowledge Base in Inter-human Communication Systems

    Leydesdorff, Loet

    2009-01-01

    The relationship between the "knowledge base" and the "globalization" of communication systems is discussed from the perspective of communication theory. I argue that inter-human communication takes place at two levels. At the first level information is exchanged and provided with meaning and at the second level meaning can reflexively be communicated. Human language can be considered as the evolutionary achievement which enables us to use these two channels of communication simultaneously. Providing meaning from the perspective of hindsight is a recursive operation: a meaning that makes a difference can be considered as knowledge. If the production of knowledge is socially organized, the perspective of hindsight can further be codified. This adds globalization to the historically stabilized patterns of communications. Globalization can be expected to transform the communications in an evolutionary mode. However, the self-organization of a knowledge-based society remains an expectation with the status of a hy...

  19. Optimization of compartments arrangement of submarine pressure hull with knowledge based system

    Chung, Bo-Young; Kim, Soo-Young; Shin, Sung-Chul; Koo, Youn-Hoe; Kraus, Andreas

    2011-12-01

    This study aims to optimize an arrangement of ship compartments with knowledge-based systems. Though great attention has been shown to the optimization of hull forms in recent years, the study on arrangement design optimization has received relatively little attention. A ship is both an engineering system and a kind of assembly of many spaces. This means that, to design an arrangement of ship compartments, it is necessary to treat not only geometric data but also knowledge on topological relations between spaces and components of a ship. In this regard, we select a suitable knowledge representation scheme for describing ship compartments and their relations, and then develop a knowledge-based system using expert system shell. This new approach is applied to create design variations for optimization on an arrangement of a pressure hull of a submerged vehicle. Finally, we explicate how our approach improves the design process.

  20. Uncertainty, Pluralism, and the Knowledge-Based Theory of the Firm

    Reihlen, Markus; Ringberg, Torsten

    2013-01-01

    -cultural conventions and other social processes. Although comprehensive in scope, we argue that a knowledge-based theory of the firm needs to integrate a cognitivist approach that includes the synergetic production of tacit and explicit knowledge, the role of reflective thinking in resolving strategic uncertainties......, and the interaction between the individual and the social. This socio-cognitive theory of the firm posits that sustained competitive advantage of a firm is founded on the ability to align knowledge internally within the firm as well as externally with its stakeholders through the individual sense-making of feedback......J.-C. Spender’s award-winning, knowledge-based theory of the firm is based on four premises: (1) The firm can be sufficiently understood as a system of knowledge, (2) explicit and implicit knowing can be clearly dissociated, (3) organizations are conceived as cognizing entities, and (4) intuition...

  1. A knowledge based search tool for performance measures in health care systems.

    Beyan, Oya D; Baykal, Nazife

    2012-02-01

    Performance measurement is vital for improving the health care systems. However, we are still far from having accepted performance measurement models. Researchers and developers are seeking comparable performance indicators. We developed an intelligent search tool to identify appropriate measures for specific requirements by matching diverse care settings. We reviewed the literature and analyzed 229 performance measurement studies published after 2000. These studies are evaluated with an original theoretical framework and stored in the database. A semantic network is designed for representing domain knowledge and supporting reasoning. We have applied knowledge based decision support techniques to cope with uncertainty problems. As a result we designed a tool which simplifies the performance indicator search process and provides most relevant indicators by employing knowledge based systems.

  2. Constructing a knowledge-based identity: Experiences from working with intellectual capital statements

    Kjærgaard, Isa Jensen

    2003-01-01

    This paper analyses the inter-relationship between organizational identity and intellectual capital (IC) statements and suggests the IC statement as a framework for developing a knowledge-based identity. The results are based on a case study of a Danish electricity transmission system company......, which started the process of changing its public provider identity towards a knowledge-based identity in a changing market by applying the framework of an IC statement. The IC statement, as a new way of defining and working with strategic company resources, makes it possible for a company to communicate...... how it wishes to define its activities both externally and internally. The paper concludes that, by working with IC statements, a company can achieve a way of constructing a new identity. Furthermore, the process of creating an IC statement can legitimize the whole idea of changing towards a knowledge...

  3. SAFOD Brittle Microstructure and Mechanics Knowledge Base (SAFOD BM2KB)

    Babaie, H. A.; Hadizadeh, J.; di Toro, G.; Mair, K.; Kumar, A.

    2008-12-01

    We have developed a knowledge base to store and present the data collected by a group of investigators studying the microstructures and mechanics of brittle faulting using core samples from the SAFOD (San Andreas Fault Observatory at Depth) project. The investigations are carried out with a variety of analytical and experimental methods primarily to better understand the physics of strain localization in fault gouge. The knowledge base instantiates an specially-designed brittle rock deformation ontology developed at Georgia State University. The inference rules embedded in the semantic web languages, such as OWL, RDF, and RDFS, which are used in our ontology, allow the Pellet reasoner used in this application to derive additional truths about the ontology and knowledge of this domain. Access to the knowledge base is via a public website, which is designed to provide the knowledge acquired by all the investigators involved in the project. The stored data will be products of studies such as: experiments (e.g., high-velocity friction experiment), analyses (e.g., microstructural, chemical, mass transfer, mineralogical, surface, image, texture), microscopy (optical, HRSEM, FESEM, HRTEM]), tomography, porosity measurement, microprobe, and cathodoluminesence. Data about laboratories, experimental conditions, methods, assumptions, equipments, and mechanical properties and lithology of the studied samples will also be presented on the website per investigation. The ontology was modeled applying the UML (Unified Modeling Language) in Rational Rose, and implemented in OWL-DL (Ontology Web Language) using the Protégé ontology editor. The UML model was converted to OWL-DL by first mapping it to Ecore (.ecore) and Generator model (.genmodel) with the help of the EMF (Eclipse Modeling Framework) plugin in Eclipse. The Ecore model was then mapped to a .uml file, which later was converted into an .owl file and subsequently imported into the Protégé ontology editing environment

  4. Delivering spacecraft control centers with embedded knowledge-based systems: The methodology issue

    Ayache, S.; Haziza, M.; Cayrac, D.

    1994-01-01

    Matra Marconi Space (MMS) occupies a leading place in Europe in the domain of satellite and space data processing systems. The maturity of the knowledge-based systems (KBS) technology, the theoretical and practical experience acquired in the development of prototype, pre-operational and operational applications, make it possible today to consider the wide operational deployment of KBS's in space applications. In this perspective, MMS has to prepare the introduction of the new methods and support tools that will form the basis of the development of such systems. This paper introduces elements of the MMS methodology initiatives in the domain and the main rationale that motivated the approach. These initiatives develop along two main axes: knowledge engineering methods and tools, and a hybrid method approach for coexisting knowledge-based and conventional developments.

  5. Virtual Center for Renal Support: Definition of a Novel Knowledge-Based Telemedicine System

    2007-11-02

    second part, the formal definition of the novel Virtual Center for Renal Support (VCRS) is done. Design of VCRS relies on a model- based system...supervision of therapies. Keywords – Remote healthcare, telemedicine, ESRD, peritoneal dialysis, hemodialysis , ESRD costs, knowledge-based assistance...patients was 25.689 (745 pmp) [3], but 40% of prevalent ESRD patients had a functioning graft, 55% were in hemodialysis therapy and the rest were

  6. A knowledge-based decision support system in bioinformatics: an application to protein complex extraction

    Fiannaca Antonino

    2013-01-01

    Full Text Available Abstract Background We introduce a Knowledge-based Decision Support System (KDSS in order to face the Protein Complex Extraction issue. Using a Knowledge Base (KB coding the expertise about the proposed scenario, our KDSS is able to suggest both strategies and tools, according to the features of input dataset. Our system provides a navigable workflow for the current experiment and furthermore it offers support in the configuration and running of every processing component of that workflow. This last feature makes our system a crossover between classical DSS and Workflow Management Systems. Results We briefly present the KDSS' architecture and basic concepts used in the design of the knowledge base and the reasoning component. The system is then tested using a subset of Saccharomyces cerevisiae Protein-Protein interaction dataset. We used this subset because it has been well studied in literature by several research groups in the field of complex extraction: in this way we could easily compare the results obtained through our KDSS with theirs. Our system suggests both a preprocessing and a clustering strategy, and for each of them it proposes and eventually runs suited algorithms. Our system's final results are then composed of a workflow of tasks, that can be reused for other experiments, and the specific numerical results for that particular trial. Conclusions The proposed approach, using the KDSS' knowledge base, provides a novel workflow that gives the best results with regard to the other workflows produced by the system. This workflow and its numeric results have been compared with other approaches about PPI network analysis found in literature, offering similar results.

  7. BJUT at TREC 2015 Microblog Track: Real Time Filtering Using Knowledge Base

    2015-11-20

    time filtering with the usage of external knowledge base. Introduction As with the microblog such as Twitter rapidly getting popular, the information...title as the keywords to search in Wikipedia through the API . Noted that, to avoid duplication, pages that describe the same thing would be redirected...and fully function API for the programmer to use. Therefore, we take it as our choice. As we described above, we assume that the each topic of interest

  8. Fuzzy knowledge base construction through belief networks based on Lukasiewicz logic

    Lara-Rosano, Felipe

    1992-01-01

    In this paper, a procedure is proposed to build a fuzzy knowledge base founded on fuzzy belief networks and Lukasiewicz logic. Fuzzy procedures are developed to do the following: to assess the belief values of a consequent, in terms of the belief values of its logical antecedents and the belief value of the corresponding logical function; and to update belief values when new evidence is available.

  9. Saliva Ontology: An ontology-based framework for a Salivaomics Knowledge Base

    2010-01-01

    Abstract Background The Salivaomics Knowledge Base (SKB) is designed to serve as a computational infrastructure that can permit global exploration and utilization of data and information relevant to salivaomics. SKB is created by aligning (1) the saliva biomarker discovery and validation resources at UCLA with (2) the ontology resources developed by the OBO (Open Biomedical Ontologies) Foundry, including a new Saliva Ontology (SALO). Results We define the Saliva Ontology (SALO; http://www.skb...

  10. Knowledge-Based Shape Optimization of Morphing Wing for More Efficient Aircraft

    Alessandro De Gaspari; Sergio Ricci

    2015-01-01

    An optimization procedure for the shape design of morphing aircraft is presented. The process is coupled with a knowledge-based framework combining parametric geometry representation, multidisciplinary modelling, and genetic algorithm. The parameterization method exploits the implicit properties of the Bernstein polynomial least squares fitting to allow both local and global shape control. The framework is able to introduce morphing shape changes in a feasible way, taking into accoun...

  11. Strategic Concept of Competition Model in Knowledge-Based Logistics in Machinebuilding

    Medvedeva, O. V.

    2015-09-01

    A competitive labor market needs serious changing. Machinebuilding is one of the main problem domains. The current direction to promote human capital competition demands for modernization. Therefore, it is necessary to develop a strategy for social and economic promotion of competition in conditions of knowledge-based economy, in particularly, in machinebuilding. The necessity is demonstrated, as well as basic difficulties faced this strategy for machinebuilding.

  12. A knowledge-based computer system for assessing new company names

    Vidal, Rene Victor Valqui; Thorsen, M.

    1990-01-01

    This paper briefly describes a knowledge-based computer system implemented at the Registry of Companies (E and S), Ministry of Industries in Denmark. The system helps E and S, on receipt of a request for registration of a new or changed company name, to check the name for acceptability. The check...... and offers conclusions about the success of the project, which ran for one year with a budget of approximately DKK 1.5 million...

  13. Socio-cultural and knowledge-based barriers to tuberculosis diagnosis for women in Bhopal, India

    2016-01-01

    Background: In India, only one woman is diagnosed with tuberculosis (TB) for every 2.4 men. Previous studies have indicated gender disparities in care-seeking behavior and TB diagnosis; however, little is known about the specific barriers women face. Objectives: This study aimed to characterize socio-cultural and knowledge-based barriers that affected TB diagnosis for women in Bhopal, India. Materials and Methods: In-depth interviews were conducted with 13 affected women and 6 health-care wor...

  14. Research on Interactive Knowledge-Based Indexing: The MedIndEx Prototype

    Humphrey, Susanne M.

    1989-01-01

    The general purpose of the MedIndEx (Medical Indexing Expert) Project at the National Library of Medicine (NLM) is to design, develop, and test interactive knowledge-based systems for computer-assisted indexing of literature in the MEDLINE® database using terms from the MeSH® (Medical Subject Headings) thesaurus. In conventional MEDLINE indexing, although indexers enter MeSH descriptors at computer terminals, they consult the thesaurus, indexing manual, and other tools in published form. In t...

  15. Knowledge based support for real time application of multiagent control and automation in electric power systems

    Saleem, Arshad; Nordstrom, Lars; Lind, Morten

    2011-01-01

    This paper presents a mechanism for developing knowledge based support for real time application of multiagent systems (MAS) in control, automation and diagnosis of electric power systems. In particular it presents a way for autonomous agents to utilize a qualitative means-ends based model...... and choose an appropriate control action. The paper also elaborates on real time interfacing between multi-agent systems and industry standard distribution automation and control system....

  16. Using Sketches and Knowledge Bases for Geo-Spatial Image Retrieval

    Bertolotto, Michela; Carswell, James; McLoughlin, E.; O Sullivan, D.; Wilson, C

    2006-01-01

    This paper presents research in the field of knowledge management for geo-spatial imagery including scanned aerial photos and satellite images. We have developed a web-based system that allows users to query a database of images not only using metadata, but also drawing sketches of configurations of objects they are interested in as well as inputting textual descriptions of their intended task. Our system integrates case-based reasoning techniques to form a knowledge base from previously issu...

  17. On the usage of knowledge based techniques in configuring computer systems: a case study

    Andersson, Jerker; Andersson, Per

    1989-01-01

    The aim of the thesis has been to define the domains of control structure specification and process station configuration in order to find a general approach applicable to problems concerning the configuration of a process control system or any similar system. These findings are then used as the foundation for constructing a knowledge based system capable of realizing a problem solving method pertaining to the domain of configuring a specific computer system.

  18. Knowledge-Based Control Systems via Internet Part I. Applications in Biotechnology

    Georgi Georgiev

    2005-04-01

    Full Text Available An extensive approach towards the dissemination of expert knowledge and coordination efforts to distributed points and seamless integration of control strategies applied to distributed yet identical systems is crucial to enhance overall efficiency and operational costs. Application of Knowledge-Based Control System via Internet will be very efficient especially in biotechnology, because many industrial bioprocesses, based on the same technological principles, are distributed in the whole world. Brewing industry oriented practical solutions illustrate this approach.

  19. XPLanner: A knowledge-based decision support system for facility management and planning

    S-Y Han; Kim, T. J.; I Adiguzel

    1991-01-01

    A case study is reported of the design, implementation, and evaluation of a knowledge-based decision support system, XPLanner. XPLanner integrates an expert system with optimization modeling technique, database management system, and interactive user interface to create a comprehensive decision aid for facility management and planning by the US Army. It is believed that integrating the expert system with the modeling and data management capabilities of decision support systems can create a co...

  20. Travel-time correction surface generation for the DOE Knowledge Base

    Hipp, J.; Young, C.; Keyser, R.

    1997-08-01

    The DOE Knowledge Base data storage and access model consists of three parts: raw data processing, intermediate surface generation, and final output surface interpolation. The paper concentrates on the second step, surface generation, specifically applied to travel-time correction data. The surface generation for the intermediate step is accomplished using a modified kriging solution that provides robust error estimates for each for each interpolated point and satisfies many important physical requirements including differing quality data points, user-definable range of influence for each point, blend to background values for both interpolated values and error estimates beyond the ranges, and the ability to account for the effects of geologic region boundaries. These requirements are outlined and discussed and are linked to requirements specified for the final output model in the DOE Knowledge Base. Future work will focus on testing the entire Knowledge Base model using the regional calibration data sets which are being gathered by researchers at Los Alamos and Lawrence Livermore National Laboratories.

  1. ISPE: A knowledge-based system for fluidization studies. 1990 Annual report

    Reddy, S.

    1991-01-01

    Chemical engineers use mathematical simulators to design, model, optimize and refine various engineering plants/processes. This procedure requires the following steps: (1) preparation of an input data file according to the format required by the target simulator; (2) excecuting the simulation; and (3) analyzing the results of the simulation to determine if all ``specified goals`` are satisfied. If the goals are not met, the input data file must be modified and the simulation repeated. This multistep process is continued until satisfactory results are obtained. This research was undertaken to develop a knowledge based system, IPSE (Intelligent Process Simulation Environment), that can enhance the productivity of chemical engineers/modelers by serving as an intelligent assistant to perform a variety tasks related to process simulation. ASPEN, a widely used simulator by the US Department of Energy (DOE) at Morgantown Energy Technology Center (METC) was selected as the target process simulator in the project. IPSE, written in the C language, was developed using a number of knowledge-based programming paradigms: object-oriented knowledge representation that uses inheritance and methods, rulebased inferencing (includes processing and propagation of probabilistic information) and data-driven programming using demons. It was implemented using the knowledge based environment LASER. The relationship of IPSE with the user, ASPEN, LASER and the C language is shown in Figure 1.

  2. A Knowledge Based Approach for Recognizing Textual Entailment for Natural Language Inference using Data Mining

    Dr. Arti Arya

    2010-09-01

    Full Text Available Recognizing Textual Entailment (RTE is a relatively new problem necessary for Natural Language Understanding (NLU and Automated Knowledge Discovery. Natural Language Inference has dealt with approaches like the bag of words approach, formal methods (First order Logic and pattern relation extraction which usually do not show satisfactory results. In this paper, Knowledge based approach has been proposed, utilizing data mining concepts on large text which is appropriately classified. Different Lexical resources like WordNet, VerbNet, ConceptNet have been integrated into a rich knowledge base, to provide semantics and structural informationon English words. The data mined is used by an Inference systemto give the output to the problem. The complete concept presented in the paper has been implemented in the form of a movie search engine wherein the knowledge based RTE concept has been employed on “summaries or plots of the movies” internally to get best possible classification of the movies. The experiments have shown encouraging results, reduced the time of search and provided more accurate results. To the best of our knowledge, it is the first time that RTE concept has been implemented to Information Search in the form of Movie Search Engine.

  3. Virk: An Active Learning-based System for Bootstrapping Knowledge Base Development in the Neurosciences

    Kyle H. Ambert

    2013-12-01

    Full Text Available The frequency and volume of newly-published scientific literature is quickly making manual maintenance of publicly-available databases of primary data unrealistic and costly. Although machine learning can be useful for developing automated approaches to identifying scientific publications containing relevant information for a database, developing such tools necessitates manually annotating an unrealistic number of documents. One approach to this problem, active learning, builds classification models by iteratively identifying documents that provide the most information to a classifier. Although this approach has been shown to be effective for related problems, in the context of scientific databases curation, it falls short. We present Virk, an active learning system that, while being trained, simultaneously learns a classification model and identifies documents having information of interest for a knowledge base. Our approach uses a support vector machine classifier with input features derived from neuroscience-related publications from the primary literature. Using our approach, we were able to increase the size of the Neuron Registry, a knowledge base of neuron-related information, by a factor of 90%, a knowledge base of neuron-related information, in 3 months. Using standard biocuration methods, it would have taken between 1-2 years to make the same number of contributions to the Neuron Registry. Here, we describe the system pipeline in detail, and evaluate its performance against other approaches to sampling in active learning.

  4. Integrating Multiple On-line Knowledge Bases for Disease-Lab Test Relation Extraction

    Zhang, Yaoyun; Soysal, Ergin; Moon, Sungrim; Wang, Jingqi; Tao, Cui; Xu, Hua

    2015-01-01

    A computable knowledge base containing relations between diseases and lab tests would be a great resource for many biomedical informatics applications. This paper describes our initial step towards establishing a comprehensive knowledge base of disease and lab tests relations utilizing three public on-line resources. LabTestsOnline, MedlinePlus and Wikipedia are integrated to create a freely available, computable disease-lab test knowledgebase. Disease and lab test concepts are identified using MetaMap and relations between diseases and lab tests are determined based on source-specific rules. Experimental results demonstrate a high precision for relation extraction, with Wikipedia achieving the highest precision of 87%. Combining the three sources reached a recall of 51.40%, when compared with a subset of disease-lab test relations extracted from a reference book. Moreover, we found additional disease-lab test relations from on-line resources, indicating they are complementary to existing reference books for building a comprehensive disease and lab test relation knowledge base. PMID:26306271

  5. The development of a knowledge base for basic active structures: an example case of dopamine agonists

    Hayashi Taketo

    2010-01-01

    Full Text Available Abstract Background Chemical compounds affecting a bioactivity can usually be classified into several groups, each of which shares a characteristic substructure. We call these substructures "basic active structures" or BASs. The extraction of BASs is challenging when the database of compounds contains a variety of skeletons. Data mining technology, associated with the work of chemists, has enabled the systematic elaboration of BASs. Results This paper presents a BAS knowledge base, BASiC, which currently covers 46 activities and is available on the Internet. We use the dopamine agonists D1, D2, and Dauto as examples and illustrate the process of BAS extraction. The resulting BASs were reasonably interpreted after proposing a few template structures. Conclusions The knowledge base is useful for drug design. Proposed BASs and their supporting structures in the knowledge base will facilitate the development of new template structures for other activities, and will be useful in the design of new lead compounds via reasonable interpretations of active structures.

  6. Solum depth spatial prediction comparing conventional with knowledge-based digital soil mapping approaches

    Michele Duarte de Menezes

    2014-08-01

    Full Text Available Solum depth and its spatial distribution play an important role in different types of environmental studies. Several approaches have been used for fitting quantitative relationships between soil properties and their environment in order to predict them spatially. This work aimed to present the steps required for solum depth spatial prediction from knowledge-based digital soil mapping, comparing the prediction to the conventional soil mapping approach through field validation, in a watershed located at Mantiqueira Range region, in the state of Minas Gerais, Brazil. Conventional soil mapping had aerial photo-interpretation as a basis. The knowledge-based digital soil mapping applied fuzzy logic and similarity vectors in an expert system. The knowledge-based digital soil mapping approach showed the advantages over the conventional soil mapping approach by applying the field expert-knowledge in order to enhance the quality of final results, predicting solum depth with suited accuracy in a continuous way, making the soil-landscape relationship explicit.

  7. Knowledge-based variable selection for learning rules from proteomic data

    Hogan William R

    2009-09-01

    Full Text Available Abstract Background The incorporation of biological knowledge can enhance the analysis of biomedical data. We present a novel method that uses a proteomic knowledge base to enhance the performance of a rule-learning algorithm in identifying putative biomarkers of disease from high-dimensional proteomic mass spectral data. In particular, we use the Empirical Proteomics Ontology Knowledge Base (EPO-KB that contains previously identified and validated proteomic biomarkers to select m/zs in a proteomic dataset prior to analysis to increase performance. Results We show that using EPO-KB as a pre-processing method, specifically selecting all biomarkers found only in the biofluid of the proteomic dataset, reduces the dimensionality by 95% and provides a statistically significantly greater increase in performance over no variable selection and random variable selection. Conclusion Knowledge-based variable selection even with a sparsely-populated resource such as the EPO-KB increases overall performance of rule-learning for disease classification from high-dimensional proteomic mass spectra.

  8. Development of a knowledge-based information management system for plant maintenance

    Yim, Hyung Sang; Park, Young Jae; Lee, Sang Min; Choi, Jae Boong; Kim, Young Jin [Sungkyunkwan Univ., Seoul (Korea, Republic of); Roh, Eun Chul; Lee, Byung Ine [Pohang Iron and Steel Company, Pohang (Korea, Republic of)

    2003-07-01

    Recently, the importance of Plant Maintenance(PM) was highly raised to provide efficient plant operation which highly affects the productivity. For this reason, a number of engineering methodologies, such as Risk-Based Inspection(RBI), Fitness For Service guidelines(FFS), Plant Lifecycle Management(PLM), have been applied to improve the plant operation efficiency. Also, a network-based business operation system, which is called ERP(Enterprise Resource Planning), has been introduced in the field of plant maintenance. However, there was no attempt to connect engineering methodologies to the ERP PM system. In this paper, a knowledge-based information system for the plant operation of steel making company has been proposed. This system, which is named as K-VRS(Knowledge-based Virtual Reality System), provides a connection between ERP plant maintenance module and knowledge-based engineering methodologies, and thus, enables network-based highly effective plant maintenance process. The developed system is expected to play a great role for more efficient and safer plant maintenance.

  9. Scratching the Knowledge Base Surface of Ministry of Education (MOE English Teacher Supervisors in Iran

    Seyed Ayatollah Razmjoo

    2014-03-01

    Full Text Available Based on the expert observation that the teacher “supervisor’s role is, in part, culturally defined” (Bailey, 2006, p.6, and the perceived gap that few supervisors receive formal training, in the current study, the researchers report on the views of Ministry of Education (MOE teachers and supervisors in the Iranian context as to what constitutes the knowledge base of supervisors. Having conducted qualitative content analysis on the data gleaned from interviews with the teachers and supervisors and open-ended questionnaires, we came up with a framework of supervisory skill/knowledge domains – one encompassing public relations skills, subject matter knowledge, pedagogical content knowledge, and contextual sensitivity. The results show that teachers by and large, by voicing their discontent with current supervisory routines, opt for humanistic supervisory procedures. The study, hoping to be taken up with more supervisory knowledge base studies, ends with advice on building supervisory preparation courses into existing teacher development programs. Keywords: Iran, language teacher supervision, knowledge base, Ministry of Education, pedagogical content knowledge

  10. A new collaborative knowledge-based approach for wireless sensor networks.

    Canada-Bago, Joaquin; Fernandez-Prieto, Jose Angel; Gadeo-Martos, Manuel Angel; Velasco, Juan Ramón

    2010-01-01

    This work presents a new approach for collaboration among sensors in Wireless Sensor Networks. These networks are composed of a large number of sensor nodes with constrained resources: limited computational capability, memory, power sources, etc. Nowadays, there is a growing interest in the integration of Soft Computing technologies into Wireless Sensor Networks. However, little attention has been paid to integrating Fuzzy Rule-Based Systems into collaborative Wireless Sensor Networks. The objective of this work is to design a collaborative knowledge-based network, in which each sensor executes an adapted Fuzzy Rule-Based System, which presents significant advantages such as: experts can define interpretable knowledge with uncertainty and imprecision, collaborative knowledge can be separated from control or modeling knowledge and the collaborative approach may support neighbor sensor failures and communication errors. As a real-world application of this approach, we demonstrate a collaborative modeling system for pests, in which an alarm about the development of olive tree fly is inferred. The results show that knowledge-based sensors are suitable for a wide range of applications and that the behavior of a knowledge-based sensor may be modified by inferences and knowledge of neighbor sensors in order to obtain a more accurate and reliable output.

  11. Can Croatia join Europe as competitive knowledge-based society by 2010?

    Petrovecki, Mladen; Paar, Vladimir; Primorac, Dragan

    2006-12-01

    The 21st century has brought important changes in the paradigms of economic development, one of them being a shift toward recognizing knowledge and information as the most valuable commodities of today. The European Union (EU) has been working hard to become the most competitive knowledge-based society in the world, and Croatia, an EU candidate country, has been faced with a similar task. To establish itself as one of the best knowledge-based country in the Eastern European region over the next 4 years, Croatia realized it has to create an education and science system correspondent with European standards and sensitive to labor market needs. For that purpose, the Croatian Ministry of Science, Education, and Sports (MSES) has created and started implementing a complex strategy, consisting of the following key components: the reform of education system in accordance with the Bologna Declaration; stimulation of scientific production by supporting national and international research projects; reversing the "brain drain" into "brain gain" and strengthening the links between science and technology; and informatization of the whole education and science system. In this comprehensive report, we describe the implementation of these measures, whose coordination with the EU goals presents a challenge, as well as an opportunity for Croatia to become a knowledge-based society by 2010.

  12. Knowledge-based renewable energy and environmental technology and services.; En kunnskapsbasert fornybar energi- og miljoenaering

    Gruenfeld, Leo A.; Espelien, Anne

    2011-07-01

    This report presents a study of the Norwegian industry for renewable energy and environmental technology and services (abbreviated to the REETS-industry). The study is a part of the large research program 'A Knowledge based Norway' organized by the Norwegian School of Management. It is one of 14 industry studies that investigates how knowledge investments and knowledge management contributes to strengthen clusters of industrial activity in Norway. A primary research question in this report concerns whether the Norwegian REETS-industry has sufficient resources and cluster strengths to succeed in international markets and stay competitive over time. For the first time, we present statistics covering all firms in the REETS-industry in Norway. The report contains a thorough mapping of industry activities, in terms of turnover, value added, growth, access to financial capital and human capital, internationalization and last but not least cluster properties in the industry as well as its links to other industries in Norway and abroad. The industry consists of approximately 2200 companies with a total turnover of Nok 151 bn in 2009. Industry value added has grown by 15 percent per year over the last decade and reached Nok 60 bn in 2009. The REETS-industry is now the eighth largest industry in Norway.The REETS-industry contains a large variety of activities and technologies. Consequently, we have divided the industry into four main groups and 11 sub-segments. The main groups are: renewable energy production, environmental technology and services, waste and recycling and finally energy distribution and sales. Since activities are highly heterogeneous, knowledge activities and cluster configurations must be studied at a more detailed level. Norway is a European giant in terms of hydro power production, producing close to 20 percent of such energy in Europe. In Norway, this part of the industry provides 35 percent of the revenues. Consequently, we devote

  13. Leveraging on Information Technology to Teach Construction Law to Built Environment Students: A Knowledge-Based System (KBS Approach

    Faisal Manzoor Arain

    2009-11-01

    Full Text Available Construction law is a vital component of the body of knowledge that is needed by construction professionals in order to successfully operate in the commercial world of construction. Construction law plays an important role in shaping building projects. Construction projects are complex because they involve many human and non-human factors and variables. Teaching construction law is therefore a complex issue with several dimensions. In recent years, Information Technology (IT has become strongly established as a supporting tool for many professions, including teachers. If faculty members have a knowledge base established on similar past projects, it would assist the faculty members to present case studies and contractually based scenarios to students. This paper proposes potential utilisation of a Knowledge-based System (KBS for teaching construction law to built environment students. The KBS is primarily designed for building professionals to learn from similar past projects. The KBS is able to assist professionals by providing accurate and timelyinformation for decision making and a user-friendly tool for analysing and selecting the suggested controls for variations in educational buildings. It is recommended that the wealth of knowledge available in the KBS can be very helpful in teaching construction law to built environment students. The system presents real case studies and scenarios to students to allow them to analyse and learn construction law. The KBS could be useful to students as a general research tool because the students could populate it with their own data and use it with the reported educational projects. With further generic modifications, the KBS will also be useful for built environment students to learn about project management of building projects; thus, it will raise the overall level of professional understanding, and eventually productivity, in the construction industry.

  14. Points of Departure: Developing the Knowledge Base of ESL and FSL Teachers for K-12 Programs in Canada

    Faez, Farahnaz

    2011-01-01

    In this paper I examine similarities and differences between the required knowledge base of teachers of English as a second language (ESL) and French as a second language (FSL) for teaching in Kindergarten through Grade 12 programs in Canada. Drawing on knowledge base frameworks in language teacher education (Freeman and Johnson, 1998; Richards,…

  15. Building knowledge city in transformation era : Knowledge-based urban development in Beijing in the context of globalisation and decentralisation

    Zhao, Pengjun; Lu, Bo

    2010-01-01

    This study examines knowledge-based urban development in Beijing with the objective of revealing the impact of the 'synergetic' forces of globalisation and local government intervention on knowledge-based urban development in the context of the coexisting processes of globalisation and decentralisat

  16. Evaluation of knowledge-based reconstruction for magnetic resonance volumetry of the right ventricle in tetralogy of Fallot

    Nyns, Emile Christian Arie; Dragulescu, Andreea [University of Toronto, The Labatt Family Heart Centre, The Hospital for Sick Children, Toronto (Canada); Yoo, Shi-Joon; Grosse-Wortmann, Lars [University of Toronto, The Labatt Family Heart Centre, The Hospital for Sick Children, Toronto (Canada); University of Toronto, Department of Diagnostic Imaging, The Hospital for Sick Children, Toronto (Canada)

    2014-12-15

    Cardiac magnetic resonance using the Simpson method is the gold standard for right ventricular volumetry. However, this method is time-consuming and not without sources of error. Knowledge-based reconstruction is a novel post-processing approach that reconstructs the right ventricular endocardial shape based on anatomical landmarks and a database of various right ventricular configurations. To assess the feasibility, accuracy and labor intensity of knowledge-based reconstruction in repaired tetralogy of Fallot (TOF). The short-axis cine cardiac MR datasets of 35 children and young adults (mean age 14.4 ± 2.5 years) after TOF repair were studied using both knowledge-based reconstruction and the Simpson method. Intraobserver, interobserver and inter-method variability were assessed using Bland-Altman analyses. Knowledge-based reconstruction was feasible and highly accurate as compared to the Simpson method. Intra- and inter-method variability for knowledge-based reconstruction measurements showed good agreement. Volumetric assessment using knowledge-based reconstruction was faster when compared with the Simpson method (10.9 ± 2.0 vs. 7.1 ± 2.4 min, P < 0.001). In patients with repaired tetralogy of Fallot, knowledge-based reconstruction is a feasible, accurate and reproducible method for measuring right ventricular volumes and ejection fraction. The post-processing time of right ventricular volumetry using knowledge-based reconstruction was significantly shorter when compared with the routine Simpson method. (orig.)

  17. Parametric Grid Information in the DOE Knowledge Base: Data Preparation, Storage and Access.

    Hipp, J. R.; Young, C. J.; Moore, S. G.; Shepherd, E. R.; Schultz, C. A.; Myers, S. C.

    1999-10-01

    The parametric grid capability of the Knowledge Base provides an efficient, robust way to store and access interpolatable information which is needed to monitor the Comprehensive Nuclear Test Ban Treaty. To meet both the accuracy and performance requirements of operational monitoring systems, we use a new approach which combines the error estimation of kriging with the speed and robustness of Natural Neighbor Interpolation (NNI). The method involves three basic steps: data preparation (DP), data storage (DS), and data access (DA). The goal of data preparation is to process a set of raw data points to produce a sufficient basis for accurate NNI of value and error estimates in the Data Access step. This basis includes a set of nodes and their connectedness, collectively known as a tessellation, and the corresponding values and errors that map to each node, which we call surfaces. In many cases, the raw data point distribution is not sufficiently dense to guarantee accurate error estimates from the NNI, so the original data set must be densified using a newly developed interpolation technique known as Modified Bayesian Kriging. Once appropriate kriging parameters have been determined by variogram analysis, the optimum basis for NNI is determined in a process we call mesh refinement, which involves iterative kriging, new node insertion, and Delauny triangle smoothing. The process terminates when an NNI basis has been calculated which will fit the kriged values within a specified tolerance. In the data storage step, the tessellations and surfaces are stored in the Knowledge Base, currently in a binary flatfile format but perhaps in the future in a spatially-indexed database. Finally, in the data access step, a client application makes a request for an interpolated value, which triggers a data fetch from the Knowledge Base through the libKBI interface, a walking triangle search for the containing triangle, and finally the NNI interpolation.

  18. Parametric Grid Information in the DOE Knowledge Base: Data Preparation, Storage, and Access

    HIPP,JAMES R.; MOORE,SUSAN G.; MYERS,STEPHEN C.; SCHULTZ,CRAIG A.; SHEPHERD,ELLEN; YOUNG,CHRISTOPHER J.

    1999-10-01

    The parametric grid capability of the Knowledge Base provides an efficient, robust way to store and access interpolatable information which is needed to monitor the Comprehensive Nuclear Test Ban Treaty. To meet both the accuracy and performance requirements of operational monitoring systems, we use a new approach which combines the error estimation of kriging with the speed and robustness of Natural Neighbor Interpolation (NNI). The method involves three basic steps: data preparation (DP), data storage (DS), and data access (DA). The goal of data preparation is to process a set of raw data points to produce a sufficient basis for accurate NNI of value and error estimates in the Data Access step. This basis includes a set of nodes and their connectedness, collectively known as a tessellation, and the corresponding values and errors that map to each node, which we call surfaces. In many cases, the raw data point distribution is not sufficiently dense to guarantee accurate error estimates from the NNI, so the original data set must be densified using a newly developed interpolation technique known as Modified Bayesian Kriging. Once appropriate kriging parameters have been determined by variogram analysis, the optimum basis for NNI is determined in a process they call mesh refinement, which involves iterative kriging, new node insertion, and Delauny triangle smoothing. The process terminates when an NNI basis has been calculated which will fir the kriged values within a specified tolerance. In the data storage step, the tessellations and surfaces are stored in the Knowledge Base, currently in a binary flatfile format but perhaps in the future in a spatially-indexed database. Finally, in the data access step, a client application makes a request for an interpolated value, which triggers a data fetch from the Knowledge Base through the libKBI interface, a walking triangle search for the containing triangle, and finally the NNI interpolation.

  19. Investigation of candidate data structures and search algorithms to support a knowledge based fault diagnosis system

    Bosworth, Edward L., Jr.

    1987-01-01

    The focus of this research is the investigation of data structures and associated search algorithms for automated fault diagnosis of complex systems such as the Hubble Space Telescope. Such data structures and algorithms will form the basis of a more sophisticated Knowledge Based Fault Diagnosis System. As a part of the research, several prototypes were written in VAXLISP and implemented on one of the VAX-11/780's at the Marshall Space Flight Center. This report describes and gives the rationale for both the data structures and algorithms selected. A brief discussion of a user interface is also included.

  20. Influence of the Migration Process on the Learning Performances of Fuzzy Knowledge Bases

    Akrout, Khaled; Baron, Luc; Balazinski, Marek;

    2007-01-01

    This paper presents the influence of the process of migration between populations in GENO-FLOU, which is an environment of learning of fuzzy knowledge bases by genetic algorithms. Initially the algorithm did not use the process of migration. For the learning, the algorithm uses a hybrid coding......, binary for the base of rules and real for the data base. This hybrid coding used with a set of specialized operators of reproduction proven to be an effective environment of learning. Simulations were made in this environment by adding a process of migration. While varying the number of populations...

  1. Rule-based query answering method for a knowledge base of economic crimes

    Bak, Jaroslaw

    2011-01-01

    We present a description of the PhD thesis which aims to propose a rule-based query answering method for relational data. In this approach we use an additional knowledge which is represented as a set of rules and describes the source data at concept (ontological) level. Queries are posed in the terms of abstract level. We present two methods. The first one uses hybrid reasoning and the second one exploits only forward chaining. These two methods are demonstrated by the prototypical implementation of the system coupled with the Jess engine. Tests are performed on the knowledge base of the selected economic crimes: fraudulent disbursement and money laundering.

  2. Knowledge Bases, Talents and Contexts: On the Usefulness of the Creative Class Approach in Sweden

    Asheim, Bjørn T.; Hansen, Høgni Kalsø

    2009-01-01

    The geography of the creative class and its impact on regional development has been debated for some years. While the ideas of Richard Florida have permeated local and regional planning strategies in most parts of the Western world, critiques have been numerous. Florida’s 3T’s (technology, talent....... Furthermore, the dominating knowledge base in a region has an influence on the importance of a people climate and a business climate for attracting and retaining talent. In this article, we present an empirical analysis in support of these arguments using original Swedish data....

  3. Knowledge based translation and problem solving in an intelligent individualized instruction system

    Jung, Namho; Biegel, John E.

    1994-01-01

    An Intelligent Individualized Instruction I(sup 3) system is being built to provide computerized instruction. We present the roles of a translator and a problem solver in an intelligent computer system. The modular design of the system provides for easier development and allows for future expansion and maintenance. CLIPS modules and classes are utilized for the purpose of the modular design and inter module communications. CLIPS facts and rules are used to represent the system components and the knowledge base. CLIPS provides an inferencing mechanism to allow the I(sup 3) system to solve problems presented to it in English.

  4. E-resource knowledge bases and link resolvers: an assessment of the current products and emerging trends

    Marshall Breeding

    2012-07-01

    Full Text Available This article summarizes the findings of a study on e-resource knowledge bases and OpenURL-based link resolvers sponsored by the National Library of Sweden. The project involved soliciting detailed information from each of the providers of the major products in this genre, reviewing product information available on the web and in published articles, and conducting a survey addressed to libraries using these products. The report identified and presented comparative information on a top tier of products that includes KnowledgeWorks and 360 Link from Serials Solutions; SFX Global KnowledgeBase and the SFX link resolver from Ex Libris; LinkSource and the EBSCO Integrated Knowledge Base from EBSCO and the WorldCat knowledge base from OCLC. A second tier included TOUResolver from TDNet, Gold Rush from the Colorado Alliance of Research Libraries and GODOT from Simon Fraser University. Innovative Interfaces, Inc offers the WebBridge link resolver but does not produce a knowledge base. The library survey revealed relatively narrow differences in the statistical results. Serial Solutions emerged as more favorable in most categories except for end-user functionality where Ex Libris received higher ratings. The Global Open Knowledgebase project (GOKb is noteworthy as a nascent community-based effort to produce a knowledge base. Key trends noted include less emphasis on knowledge bases and link resolvers as stand-alone products as they become integral components of comprehensive discovery and automation products.

  5. Knowledge-based renewable energy and environmental technology and services.; En kunnskapsbasert fornybar energi- og miljoenaering

    Gruenfeld, Leo A.; Espelien, Anne

    2011-07-01

    This report presents a study of the Norwegian industry for renewable energy and environmental technology and services (abbreviated to the REETS-industry). The study is a part of the large research program 'A Knowledge based Norway' organized by the Norwegian School of Management. It is one of 14 industry studies that investigates how knowledge investments and knowledge management contributes to strengthen clusters of industrial activity in Norway. A primary research question in this report concerns whether the Norwegian REETS-industry has sufficient resources and cluster strengths to succeed in international markets and stay competitive over time. For the first time, we present statistics covering all firms in the REETS-industry in Norway. The report contains a thorough mapping of industry activities, in terms of turnover, value added, growth, access to financial capital and human capital, internationalization and last but not least cluster properties in the industry as well as its links to other industries in Norway and abroad. The industry consists of approximately 2200 companies with a total turnover of Nok 151 bn in 2009. Industry value added has grown by 15 percent per year over the last decade and reached Nok 60 bn in 2009. The REETS-industry is now the eighth largest industry in Norway.The REETS-industry contains a large variety of activities and technologies. Consequently, we have divided the industry into four main groups and 11 sub-segments. The main groups are: renewable energy production, environmental technology and services, waste and recycling and finally energy distribution and sales. Since activities are highly heterogeneous, knowledge activities and cluster configurations must be studied at a more detailed level. Norway is a European giant in terms of hydro power production, producing close to 20 percent of such energy in Europe. In Norway, this part of the industry provides 35 percent of the revenues. Consequently, we devote

  6. C-PHIS: a concept map-based knowledge base framework to develop personal health information systems.

    Karla, Pramukh R; Gurupur, Varadraj P

    2013-10-01

    In this paper we describe the development of a Personal Health Information System using a knowledge base developed using concept maps. Here we describe a solution for providing the critical need to develop an information capturing system that helps domain experts in developing a graphical representation of the aforementioned knowledge base which can then be converted to a machine-actable form of information. A prototype application has been developed using this information capturing system that clearly demonstrates the use of the knowledge base framework using concept maps to develop Personal Health Information System for lung cancer patients.

  7. A NASA/RAE cooperation in the development of a real-time knowledge-based autopilot

    Daysh, Colin; Corbin, Malcolm; Butler, Geoff; Duke, Eugene L.; Belle, Steven D.; Brumbaugh, Randal W.

    1991-01-01

    As part of a US/UK cooperative aeronautical research program, a joint activity between the NASA Dryden Flight Research Facility and the Royal Aerospace Establishment on knowledge-based systems was established. This joint activity is concerned with tools and techniques for the implementation and validation of real-time knowledge-based systems. The proposed next stage of this research is described, in which some of the problems of implementing and validating a knowledge-based autopilot for a generic high-performance aircraft are investigated.

  8. A knowledge-based control system for air-scour optimisation in membrane bioreactors.

    Ferrero, G; Monclús, H; Sancho, L; Garrido, J M; Comas, J; Rodríguez-Roda, I

    2011-01-01

    Although membrane bioreactors (MBRs) technology is still a growing sector, its progressive implementation all over the world, together with great technical achievements, has allowed it to reach a mature degree, just comparable to other more conventional wastewater treatment technologies. With current energy requirements around 0.6-1.1 kWh/m3 of treated wastewater and investment costs similar to conventional treatment plants, main market niche for MBRs can be areas with very high restrictive discharge limits, where treatment plants have to be compact or where water reuse is necessary. Operational costs are higher than for conventional treatments; consequently there is still a need and possibilities for energy saving and optimisation. This paper presents the development of a knowledge-based decision support system (DSS) for the integrated operation and remote control of the biological and physical (filtration and backwashing or relaxation) processes in MBRs. The core of the DSS is a knowledge-based control module for air-scour consumption automation and energy consumption minimisation.

  9. A Real-Time Algorithm for Intelligent Control Embedded in Knowledge based Systems

    Vasile MAZILESCU

    2011-11-01

    Full Text Available Consistent with the growing interest in organizational knowledge and Knowledge Management, many ICT researchers have been promoting a class of Knowledge Management Systems (KMSs, referred as Knowledge based Systems. The objective of a KMS is to support knowledge capturing, categorizing, storing, searching, distributing and application within organizations. Technical advances in computers’ processing and storage capacity, together with linking these computers into networks of distributed nodes, have greatly increased the organizations’ capability to deliver goods and services. Along with these capabilities we need quality, accuracy, responsiveness and capacity. The aim of this paper is to present a Knowledge Management System based on Fuzzy Logic (KMSFL, a real-time expert system to meet the challenges of the dynamic environment. The main feature of our integrated shell KMSFL is that it models and integrates the temporal relationships between the dynamic of the process evolution with some fuzzy inferential methods, using a knowledge model for control, embedded within the expert system’s operational knowledge base.

  10. MK4MDD: a multi-level knowledge base and analysis platform for major depressive disorder.

    Liyuan Guo

    Full Text Available BACKGROUND: Major depressive disorder (MDD is a complex neuropsychiatric syndrome with high heterogeneity. There are different levels of biological components that underlie MDD and interact with each other. To uncover the disease mechanism, large numbers of studies at different levels have been conducted. There is a growing need to integrate data from multiple levels of research into a database to provide a systematic review of current research results. The cross level integration will also help bridge gaps of different research levels for further understanding on MDD. So far, there has been no such effort for MDD. DESCRIPTIONS: We offer researchers a Multi-level Knowledge base for MDD (MK4MDD to study the interesting interplay of components in the pathophysiological cascade of MDD from genetic variations to diagnostic syndrome. MK4MDD contains 2,341 components and 5,206 relationships between components based on reported experimental results obtained by diligent literature reading with manual curation. All components were well classified with careful curation and supplementary annotation. The powerful search and visualization tools make all data in MK4MDD form a cross-linked network to be applied to a broad range of both basic and applied research. CONCLUSIONS: MK4MDD aims to provide researchers with a central knowledge base and analysis platform for MDD etiological and pathophysiological mechanisms research. MK4MDD is freely available at http://mdd.psych.ac.cn.

  11. Syn-lethality: an integrative knowledge base of synthetic lethality towards discovery of selective anticancer therapies.

    Li, Xue-juan; Mishra, Shital K; Wu, Min; Zhang, Fan; Zheng, Jie

    2014-01-01

    Synthetic lethality (SL) is a novel strategy for anticancer therapies, whereby mutations of two genes will kill a cell but mutation of a single gene will not. Therefore, a cancer-specific mutation combined with a drug-induced mutation, if they have SL interactions, will selectively kill cancer cells. While numerous SL interactions have been identified in yeast, only a few have been known in human. There is a pressing need to systematically discover and understand SL interactions specific to human cancer. In this paper, we present Syn-Lethality, the first integrative knowledge base of SL that is dedicated to human cancer. It integrates experimentally discovered and verified human SL gene pairs into a network, associated with annotations of gene function, pathway, and molecular mechanisms. It also includes yeast SL genes from high-throughput screenings which are mapped to orthologous human genes. Such an integrative knowledge base, organized as a relational database with user interface for searching and network visualization, will greatly expedite the discovery of novel anticancer drug targets based on synthetic lethality interactions. The database can be downloaded as a stand-alone Java application.

  12. Security Enhancement of Knowledge-based User Authentication through Keystroke Dynamics

    Roy Soumen

    2016-01-01

    Full Text Available Keystroke Dynamics is a behavioural biometrics characteristic in Biometric science, which solve the issues in user identification or verification. In Knowledge-based user authentication technique, we compromise with PIN or password which is unsafe due to different type of attacks. It is good to choose password with the combination of upper and lower case letter with some digits and symbols, but which is very hard to remember or generally we forget to distinguish those passwords for different access control systems. Our system not only takes the users’ entered texts but their typing style is also account for. In our experiment, we have not taken hard password type texts, we have chosen some daily used words where users are habituated and comfortable at typing and we obtained the consisting typing pattern. Different distance-based and data mining algorithms we have applied on collected typing pattern and obtained impressive results. As per our experiment, if we use keystroke dynamics in existing knowledge based user authentication system with minimum of five daily used common texts then it increases the security level up to 97.6% to 98.2% (if we remove some of the irrelevant feature sets.

  13. SIGMA: A Knowledge-Based Simulation Tool Applied to Ecosystem Modeling

    Dungan, Jennifer L.; Keller, Richard; Lawless, James G. (Technical Monitor)

    1994-01-01

    The need for better technology to facilitate building, sharing and reusing models is generally recognized within the ecosystem modeling community. The Scientists' Intelligent Graphical Modelling Assistant (SIGMA) creates an environment for model building, sharing and reuse which provides an alternative to more conventional approaches which too often yield poorly documented, awkwardly structured model code. The SIGMA interface presents the user a list of model quantities which can be selected for computation. Equations to calculate the model quantities may be chosen from an existing library of ecosystem modeling equations, or built using a specialized equation editor. Inputs for dim equations may be supplied by data or by calculation from other equations. Each variable and equation is expressed using ecological terminology and scientific units, and is documented with explanatory descriptions and optional literature citations. Automatic scientific unit conversion is supported and only physically-consistent equations are accepted by the system. The system uses knowledge-based semantic conditions to decide which equations in its library make sense to apply in a given situation, and supplies these to the user for selection. "Me equations and variables are graphically represented as a flow diagram which provides a complete summary of the model. Forest-BGC, a stand-level model that simulates photosynthesis and evapo-transpiration for conifer canopies, was originally implemented in Fortran and subsequenty re-implemented using SIGMA. The SIGMA version reproduces daily results and also provides a knowledge base which greatly facilitates inspection, modification and extension of Forest-BGC.

  14. Use of Occupancy Models to Evaluate Expert Knowledge-based Species-Habitat Relationships

    Monica N. Iglecia

    2012-12-01

    Full Text Available Expert knowledge-based species-habitat relationships are used extensively to guide conservation planning, particularly when data are scarce. Purported relationships describe the initial state of knowledge, but are rarely tested. We assessed support in the data for suitability rankings of vegetation types based on expert knowledge for three terrestrial avian species in the South Atlantic Coastal Plain of the United States. Experts used published studies, natural history, survey data, and field experience to rank vegetation types as optimal, suitable, and marginal. We used single-season occupancy models, coupled with land cover and Breeding Bird Survey data, to examine the hypothesis that patterns of occupancy conformed to species-habitat suitability rankings purported by experts. Purported habitat suitability was validated for two of three species. As predicted for the Eastern Wood-Pewee (Contopus virens and Brown-headed Nuthatch (Sitta pusilla, occupancy was strongly influenced by vegetation types classified as "optimal habitat" by the species suitability rankings for nuthatches and wood-pewees. Contrary to predictions, Red-headed Woodpecker (Melanerpes erythrocephalus models that included vegetation types as covariates received similar support by the data as models without vegetation types. For all three species, occupancy was also related to sampling latitude. Our results suggest that covariates representing other habitat requirements might be necessary to model occurrence of generalist species like the woodpecker. The modeling approach described herein provides a means to test expert knowledge-based species-habitat relationships, and hence, help guide conservation planning.

  15. Knowledge-Based Trajectory Error Pattern Method Applied to an Active Force Control Scheme

    Endra Pitowarno, Musa Mailah, Hishamuddin Jamaluddin

    2012-08-01

    Full Text Available The active force control (AFC method is known as a robust control scheme that dramatically enhances the performance of a robot arm particularly in compensating the disturbance effects. The main task of the AFC method is to estimate the inertia matrix in the feedback loop to provide the correct (motor torque required to cancel out these disturbances. Several intelligent control schemes have already been introduced to enhance the estimation methods of acquiring the inertia matrix such as those using neural network, iterative learning and fuzzy logic. In this paper, we propose an alternative scheme called Knowledge-Based Trajectory Error Pattern Method (KBTEPM to suppress the trajectory track error of the AFC scheme. The knowledge is developed from the trajectory track error characteristic based on the previous experimental results of the crude approximation method. It produces a unique, new and desirable error pattern when a trajectory command is forced. An experimental study was performed using simulation work on the AFC scheme with KBTEPM applied to a two-planar manipulator in which a set of rule-based algorithm is derived. A number of previous AFC schemes are also reviewed as benchmark. The simulation results show that the AFC-KBTEPM scheme successfully reduces the trajectory track error significantly even in the presence of the introduced disturbances.Key Words:  Active force control, estimated inertia matrix, robot arm, trajectory error pattern, knowledge-based.

  16. NSIDC Knowledge Base: Using Knowledge Networking Tools to Help Data Users to Help Themselves

    McAllister, M.; Tressel, S.

    2012-12-01

    In the age of information, scientists and non-scientists alike expect answers to their questions to be available on LCD display with just a few clicks of a mouse. Over the past decade, NSIDC User Services has seen a sizable increase in total data users, with a growing percentage coming from non-science backgrounds. In order to meet the demands of so many curious minds and to better appeal to the diversifying user community, NSIDC User Services is in the process of utilizing professional helpdesk software to create NSIDC Knowledge Base: a multimedia platform for supporting data users. Ultimately, searchable, referenced articles on common user problems and FAQ's will appear beside video tutorials demonstrating how to use the data. Links to other data centers' user support departments will be offered when questions expand beyond the scope of NSIDC. NSIDC Knowledge Base aims to be a resource allowing users to help themselves as well as a gateway to finding resources at related data centers.

  17. Developing an ontological explosion knowledge base for business continuity planning purposes.

    Mohammadfam, Iraj; Kalatpour, Omid; Golmohammadi, Rostam; Khotanlou, Hasan

    2013-01-01

    Industrial accidents are among the most known challenges to business continuity. Many organisations have lost their reputation following devastating accidents. To manage the risks of such accidents, it is necessary to accumulate sufficient knowledge regarding their roots, causes and preventive techniques. The required knowledge might be obtained through various approaches, including databases. Unfortunately, many databases are hampered by (among other things) static data presentations, a lack of semantic features, and the inability to present accident knowledge as discrete domains. This paper proposes the use of Protégé software to develop a knowledge base for the domain of explosion accidents. Such a structure has a higher capability to improve information retrieval compared with common accident databases. To accomplish this goal, a knowledge management process model was followed. The ontological explosion knowledge base (EKB) was built for further applications, including process accident knowledge retrieval and risk management. The paper will show how the EKB has a semantic feature that enables users to overcome some of the search constraints of existing accident databases.

  18. Providing Evidence-Based, Intelligent Support for Flood Resilient Planning and Policy: The PEARL Knowledge Base

    George Karavokiros

    2016-09-01

    Full Text Available While flood risk is evolving as one of the most imminent natural hazards and the shift from a reactive decision environment to a proactive one sets the basis of the latest thinking in flood management, the need to equip decision makers with necessary tools to think about and intelligently select options and strategies for flood management is becoming ever more pressing. Within this context, the Preparing for Extreme and Rare Events in Coastal Regions (PEARL intelligent knowledge-base (PEARL KB of resilience strategies is presented here as an environment that allows end-users to navigate from their observed problem to a selection of possible options and interventions worth considering within an intuitive visual web interface assisting advanced interactivity. Incorporation of real case studies within the PEARL KB enables the extraction of (evidence-based lessons from all over the word, while the KB’s collection of methods and tools directly supports the optimal selection of suitable interventions. The Knowledge-Base also gives access to the PEARL KB Flood Resilience Index (FRI tool, which is an online tool for resilience assessment at a city level available to authorities and citizens. We argue that the PEARL KB equips authorities with tangible and operational tools that can improve strategic and operational flood risk management by assessing and eventually increasing resilience, while building towards the strengthening of risk governance. The online tools that the PEARL KB gives access to were demonstrated and tested in the city of Rethymno, Greece.

  19. Knowledge-based innovation and the city: The case of Belgrade

    Ivanović-Vojvodić Jelena

    2015-01-01

    Full Text Available The critical role of research in overall progress generates a pressing need to study the relationship between a city and knowledge-based innovation. A number of socio-economic and political processes influence the development of contemporary cities by defining the beneficial balance between financial ambitions, environmental awareness and sustainability. Consequently, the role of innovation and knowledge has been emphasized as one of the crucial generators of urban success. The most recent initiatives originating from universities and research establishments stimulate the emergence of new spatial formations and digital upgrading, thus setting up a fertile environment for intellectual exchange and the production and diffusion of knowledge and innovations. This article questions the historical, social and technological implications of research on urban space. The focus is set on the case of Belgrade and the newly proposed project of a university campus with its evaluation based on the latest concepts related to the economy of knowledge. This new type of knowledge-based innovation node is intended to serve as a driver of Belgrade’s inclusion into the global network of innovative cities. However, this initiative is still in the domain of paper-architecture due to financial limitations and a change in development priorities by the new government.

  20. Creation of a master table for checking indication and contraindication of medicine from a knowledge base linked with a thesaurus.

    Ji, Shanmei; Matsumura, Yasushi; Kuwata, Shigeki; Nakano, Hirohiko; Chen, Yufeng; Teratani, Tadamasa; Zhang, Qiyan; Mineno, Takahiro; Takeda, Hiroshi

    2004-12-01

    To develop a system for checking indication and contraindication of medicines in prescription order entry system, a master table consisting of the disease names corresponding to the medicines adopted in a hospital is needed. The creation of this table requires a considerable manpower. We developed a Web-based system for constructing a medicine/disease thesaurus and a knowledge base. By authority management of users, this system enables many specialists to create the thesaurus collaboratively without confusion. It supports the creation of a knowledge base using concept names by referring to the thesaurus, which is automatically converted to the check master table. When a disease name or medicine name was added to the thesaurus, the check table was automatically updated. We constructed a thesaurus and a knowledge base in the field of circulatory system disease. The knowledge base linked with the thesaurus proved to be efficient for making the check master table for indication/contraindication of medicines.

  1. Knowledge-Based Economy in Argentina, Costa Rica and Mexico: A Comparative Analysis from the Bio-Economy Perspective

    Ana Barbara MUNGARAY-MOCTEZUMA; Sylvia Monica PEREZ-NUÑEZ; Santos LÓPEZ-LEYVA

    2015-01-01

    The objective of this article is to determine the necessary institutional characteristics of technology and human capital in Argentina, Costa Rica and Mexico in order to evolve towards a knowledge-based economy, addressing the importance of institutions for their development. In particular, the knowledge-based economy is analyzed from the perspective of bioeconomics. Based on the Knowledge Economy Index (KEI) which considers 148 indicators, in the following categories: a) economic performance...

  2. A knowledge-based scoring function for protein-RNA interactions derived from a statistical mechanics-based iterative method.

    Huang, Sheng-You; Zou, Xiaoqin

    2014-04-01

    Protein-RNA interactions play important roles in many biological processes. Given the high cost and technique difficulties in experimental methods, computationally predicting the binding complexes from individual protein and RNA structures is pressingly needed, in which a reliable scoring function is one of the critical components. Here, we have developed a knowledge-based scoring function, referred to as ITScore-PR, for protein-RNA binding mode prediction by using a statistical mechanics-based iterative method. The pairwise distance-dependent atomic interaction potentials of ITScore-PR were derived from experimentally determined protein-RNA complex structures. For validation, we have compared ITScore-PR with 10 other scoring methods on four diverse test sets. For bound docking, ITScore-PR achieved a success rate of up to 86% if the top prediction was considered and up to 94% if the top 10 predictions were considered, respectively. For truly unbound docking, the respective success rates of ITScore-PR were up to 24 and 46%. ITScore-PR can be used stand-alone or easily implemented in other docking programs for protein-RNA recognition.

  3. Sustainable Capital? The Neoliberalization of Nature and Knowledge in the European “Knowledge-based Bio-economy”

    Theo Papaioannou

    2010-09-01

    Full Text Available As an EU policy agenda, the “knowledge-based bio-economy” (KBBE emphasizes bio-technoscience as the means to reconcile environmental and economic sustainability. This frames the sustainability problem as an inefficiency to be overcome through a techno-knowledge fix. Here ecological sustainability means a benign eco-efficient productivity using resources which are renewable, reproducible and therefore sustainable. The KBBE narrative has been elaborated by European Technology Platforms in the agri-food-forestry-biofuels sectors, whose proposals shape research priorities. These inform policy agendas for the neoliberalization of both nature and knowledge, especially through intellectual property. In these ways, the KBBE can be understood as a new political-economic strategy for sustainable capital. This strategy invests great expectations for unlocking the productive potential of natural resources through a techno-knowledge fix. Although eco-efficiency is sometimes equated with biological productivity, commercial success will be dependent upon new combinations of “living” and “dead” labour.

  4. Agility Path Through Work Values in Knowledge-Based Organizations: A Study of Virtual Universities

    Yashar Salamzadeh

    2014-05-01

    Full Text Available All people enter organizations with a formed personality and some initial experiences and values depending on the culture, which will, in turn, influence their efficiency and performance. Therefore, great attention must be paid to work values of the employees and the issues which affect them, especially in organizations that are complex in their structure and culture. Today’s dynamic environment requires organizations to be agile in their processes, with the issue being even more critical in knowledge-based organizations such as virtual universities. In this research, we identify the path through which organizations can achieve agility by means of work values. Although there are many dimensions in work values and organizational agility, using the methodology applied in this research, we omit some of these dimensions and find the best methods that will enable managers to wisely invest in the most important issues and get the best results in the path to achieve agility through work values.

  5. Spatial clustering of knowledge-based industries in the Helsinki Metropolitan Area

    Juan Eduardo Chica

    2016-01-01

    Full Text Available The central locations of metropolitan areas have some specific attributes, leading to an accumulation of large knowledge exchanges and extensive knowledge externalities, which encourage the concentration of various economic activities, especially knowledge-based industries (KBI. Other agglomeration economies found in metropolitan areas – such as telecommunications and transport infrastructures connected to global productive circuits and complementary labour markets – are key factors for KBI employment growth. This paper explores the Helsinki Metropolitan Area’s (HMA spatial clustering of KBI at the sub-district level, and the role played by agglomeration economies (both specialization and diversity economies in fostering this process. The results reveal that KBI employment shows patterns of concentration in the core and adjacent areas. The specialization and diversity economies found in the metropolitan core and the specialization economies found in others areas lead to KBI spatial clustering in the HMA. Public policies regarding the promotion of science parks have also played a decisive role.

  6. VIDA - Knowledge-based efforts for socially disadvantaged children in daycare - an inclusive ECEC program

    Holm, Anders; Wang, Camilla; Kousholt, Dorte

    Early Childhood Education and Care (ECEC) can enhance the life chances of all children, and especially socially disadvantaged children. In the Nordic daycare systems, however, it is not clear if ECEC provides equal social and intellectual opportunities for socially disadvantaged children. The VIDA...... intervention program Knowledge-based efforts for socially disadvantaged children in daycare – a model program presented in this report, aims at improving all children’s well-being and cognitive functioning, and specifi cally improving the situation for socially disadvantaged children through inclusive efforts...... in daycare. The objective is to improve our knowledge about effective means and methods when implementing a new innovative type of early childhood educational efforts aimed at socially disadvantaged children. This is done by a systematic approach on the basis of methods developed in the VIDA programs...

  7. Application of Knowledge Based Systems in a B-to-B environment

    Malis, Martin; Svensson, Carsten; Hvam, Lars

    2002-01-01

    As a result of globalisation, supply networks are getting increasingly complex and extended, the exchange of knowledge becomes a critical parameter for the improvement of efficiency. This article describes the architecture of a web-based expert system that enables knowledge based product...... information to reach several companies within a network. The day-to-day interaction for design and purchase of products in a B-to-B environment will be in focus. It is illustrated how the use of web-based expert systems can improve the efficiency in the sales process significantly. The use of configurators...... has changed the daily interaction between a company and its suppliers. Large multinational companies (e.g. Dell and Cisco) have demonstrated how the use of web-based expert systems can revolutionize the sale of customized products and change market paradigms. The companies have reached new levels...

  8. Constructing a Knowledge Base for Gene Regulatory Dynamics by Formal Concept Analysis Methods

    Wollbold, Johannes; Ganter, Bernhard

    2008-01-01

    Our aim is to build a set of rules, such that reasoning over temporal dependencies within gene regulatory networks is possible. The underlying transitions may be obtained by discretizing observed time series, or they are generated based on existing knowledge, e.g. by Boolean networks or their nondeterministic generalization. We use the mathematical discipline of formal concept analysis (FCA), which has been applied successfully in domains as knowledge representation, data mining or software engineering. By the attribute exploration algorithm, an expert or a supporting computer program is enabled to decide about the validity of a minimal set of implications and thus to construct a sound and complete knowledge base. From this all valid implications are derivable that relate to the selected properties of a set of genes. We present results of our method for the initiation of sporulation in Bacillus subtilis. However the formal structures are exhibited in a most general manner. Therefore the approach may be adapte...

  9. Building organisational cyber resilience: A strategic knowledge-based view of cyber security management.

    Ferdinand, Jason

    The concept of cyber resilience has emerged in recent years in response to the recognition that cyber security is more than just risk management. Cyber resilience is the goal of organisations, institutions and governments across the world and yet the emerging literature is somewhat fragmented due to the lack of a common approach to the subject. This limits the possibility of effective collaboration across public, private and governmental actors in their efforts to build and maintain cyber resilience. In response to this limitation, and to calls for a more strategically focused approach, this paper offers a knowledge-based view of cyber security management that explains how an organisation can build, assess, and maintain cyber resilience.

  10. Integrated knowledge-based modeling and its application for classification problems

    2008-01-01

    Knowledge discovery from data directly can hardly avoid the fact that it is biased towards the collected experimental data, whereas, expert systems are always baffled with the manual knowledge acquisition bottleneck. So it is believable that integrating the knowledge embedded in data and those possessed by experts can lead to a superior modeling approach. Aiming at the classification problems, a novel integrated knowledge-based modeling methodology, oriented by experts and driven by data, is proposed. It starts from experts identifying modeling parameters, and then the input space is partitioned followed by fuzzification. Afterwards, single rules are generated and then aggregated to form a rule base. on which a fuzzy inference mechanism is proposed. The experts are allowed to make necessary changes on the rule base to improve the model accuracy. A real-world application, welding fault diagnosis, is presented to demonstrate the effectiveness of the methodology.

  11. Knowledge-Based Parallel Performance Technology for Scientific Application Competitiveness Final Report

    Malony, Allen D; Shende, Sameer

    2011-08-15

    The primary goal of the University of Oregon's DOE "œcompetitiveness" project was to create performance technology that embodies and supports knowledge of performance data, analysis, and diagnosis in parallel performance problem solving. The target of our development activities was the TAU Performance System and the technology accomplishments reported in this and prior reports have all been incorporated in the TAU open software distribution. In addition, the project has been committed to maintaining strong interactions with the DOE SciDAC Performance Engineering Research Institute (PERI) and Center for Technology for Advanced Scientific Component Software (TASCS). This collaboration has proved valuable for translation of our knowledge-based performance techniques to parallel application development and performance engineering practice. Our outreach has also extended to the DOE Advanced CompuTational Software (ACTS) collection and project. Throughout the project we have participated in the PERI and TASCS meetings, as well as the ACTS annual workshops.

  12. A knowledge-based approach to identification and adaptation in dynamical systems control

    Glass, B. J.; Wong, C. M.

    1988-01-01

    Artificial intelligence techniques are applied to the problems of model form and parameter identification of large-scale dynamic systems. The object-oriented knowledge representation is discussed in the context of causal modeling and qualitative reasoning. Structured sets of rules are used for implementing qualitative component simulations, for catching qualitative discrepancies and quantitative bound violations, and for making reconfiguration and control decisions that affect the physical system. These decisions are executed by backward-chaining through a knowledge base of control action tasks. This approach was implemented for two examples: a triple quadrupole mass spectrometer and a two-phase thermal testbed. Results of tests with both of these systems demonstrate that the software replicates some or most of the functionality of a human operator, thereby reducing the need for a human-in-the-loop in the lower levels of control of these complex systems.

  13. DESIGN, DEVELOPMENT & IMPLEMENTATION OF ONTOLOGICAL KNOWLEDGE BASED SYSTEM FOR AUTOMOTIVE ASSEMBLY LINES

    Muhammad Baqar Raza

    2011-09-01

    Full Text Available Dynamism and uncertainty are genuine threats for current high technology organisations. Capability to change is the crux of sustainability of current large organisations. Modern manufacturing philosophies, including agile and lean, are not enough to be competitive in global market therefore a new emerging paradigm i.e. reconfigurable manufacturing systems is fast emerging to complement the application of lean and agile manufacturing systems. Product, Process and Resource (PPR are the core areas in an engineering domain of a manufacturing enterprise which are tightly coupled with each other. Change in one (usually product affects the others therefore engineering change management activity has to tackle PPR change effects. Current software applications do not provide an unequivocal infrastructure where PPR can be explicitly related. It follows that reconfigurable techniques can be further complemented with the help of knowledge based systems to design, engineer, manufacture, commission and change existing processes and resources against changed products.

  14. Knowledge-based network ties in early rapidly internationalising small firms

    Masango, Shingairai Grace; Marinova, Svetla Trifonova

    2014-01-01

    This paper sets out to establish the sources of the relationships underpinning Early Rapidly Internationalising Small Firm (ERISF) cross border activities, the main characteristics and specific functions of these relationships, and their process of development. Using interview data from ten South...... African firms, the findings show that the founder’s pre-firm knowledge pools are important in establishing the source of the initial hierarchical knowledge-based interpersonal ties. ERISF internationalisation is enabled by an initial prior interpersonal network tie set, which is composed of predominantly...... a holistic characterisation of the concept of knowledge in ERISF internationalisation. Within their interorganisational relationships, ERISFs are involved in knowledge creation, knowledge transfer and knowledge adoption activities. Network ties developed in existing knowledge pools are extended to new...

  15. Collaborative development of knowledge-based support systems: a case study.

    Lindgren, Helena; Winnberg, Patrik J; Yan, Chunli

    2012-01-01

    We investigate a user-driven collaborative knowledge engineering and interaction design process. The outcome is a knowledge-based support application tailored to physicians in the local dementia care community. The activity is organized as a part of a collaborative effort between different organizations to develop their local clinical practice. Six local practitioners used the generic decision-support prototype system DMSS-R developed for the dementia domain during a period and participated in evaluations and re-design. Additional two local domain experts and a domain expert external to the local community modeled the content and design of DMSS-R by using the modeling system ACKTUS. Obstacles and success factors occurring when enabling the end-users to design their own tools are detected and interpreted using a proposed framework for improving care through the use of clinical guidelines. The results are discussed.

  16. Enabling the use of hereditary information from pedigree tools in medical knowledge-based systems.

    Gay, Pablo; López, Beatriz; Plà, Albert; Saperas, Jordi; Pous, Carles

    2013-08-01

    The use of family information is a key issue to deal with inheritance illnesses. This kind of information use to come in the form of pedigree files, which contain structured information as tree or graphs, which explains the family relationships. Knowledge-based systems should incorporate the information gathered by pedigree tools to assess medical decision making. In this paper, we propose a method to achieve such a goal, which consists on the definition of new indicators, and methods and rules to compute them from family trees. The method is illustrated with several case studies. We provide information about its implementation and integration on a case-based reasoning tool. The method has been experimentally tested with breast cancer diagnosis data. The results show the feasibility of our methodology.

  17. Limits of responsiveness concerning human-readable knowledge bases: an operational analysis

    Pentzaropoulos, G C

    2010-01-01

    Introduction. The purpose of this work is the evaluation of responsiveness when remote users communicate with a human-readable knowledge base (KB). Responsiveness [R(s)] is considered here as a measure of service quality. Method. The preferred method is operational analysis, a variation of classical stochastic theory, which allows for the study of user-system interaction with minimal computational effort. Analysis. The analysis is based on well-known performance metrics, such as service ability, elapsed time, and throughput: from these metrics estimates of R(s) are derived analytically. Results. Critical points indicating congestion are obtained: these are limits on the number of admissible requests and the number of connected users. Also obtained is a sufficient condition for achieving flow balance between the KB host and the request-relaying servers. Conclusions. When R(s) is within normal limits, users should appreciate the benefits from using the services offered by their KB host. When bottlenecks are for...

  18. Database and knowledge base integration--a data mapping method for Arden Syntax knowledge modules.

    Johansson, B; Shahsavar, N; Ahlfeldt, H; Wigertz, O

    1996-12-01

    One of the most important categories of decision-support systems in medicine are data driven systems where the inference engine is linked to a database. It is, therefore, important to find methods that facilitate the implementation of database queries referred to in the knowledge modules. A method is described for linking clinical databases to a knowledge base with Arden Syntax modules. The method is based on a query meta-database including templates for SQL queries which is maintained by a database administrator. During knowledge module authoring the medical expert refers only to a code in the query meta-database; no knowledge is needed about the database model or the naming of attributes and relations. The method uses standard tools, such as C+2 and ODBC, which makes it possible to implement the method at many platforms and to link to different clinical databases in a standardized way.

  19. Knowledge-based decision support system for tool management in flexible manufacturing system

    周炳海; 奚立峰; 蔡建国

    2004-01-01

    Tool management is not a single, simple activity, it is comprised of a complex set of functions, especially in a flexible manufacturing system (FMS) environment. The issues associated with tool management include tool requirement planning, tool real-time scheduling, tool crib management, tool inventory control, tool fault diagnosis, tool tracking and tool monitoring. In order to make tools flow into/out of FMS efficiently, this work is aimed to design a knowledge-based decision support system (KBDSS) for tool management in FMS. Firstly an overview of tool management functions is described. Then the structure of KBDSS for tool management and the essential agents in the design of KBDSS are presented. Finally the individual agents of KBDSS are discussed for design and development.

  20. Development the conceptual design of Knowledge Based System for Integrated Maintenance Strategy and Operation

    Milana; Khan, M. K.; Munive, J. E.

    2014-07-01

    The importance of maintenance has escalated significantly by the increasing of automation in manufacturing process. This condition switches traditional maintenance perspective of inevitable cost into the business competitive driver. Consequently, maintenance strategy and operation decision needs to be synchronized to business and manufacturing concerns. This paper shows the development of conceptual design of Knowledge Based System for Integrated Maintenance Strategy and Operation (KBIMSO). The framework of KBIMSO is elaborated to show the process of how the KBIMSO works to reach the maintenance decision. By considering the multi-criteria of maintenance decision making, the KB system embedded with GAP and AHP to support integrated maintenance strategy and operation which is novel in this area. The KBIMSO is useful to review the existing maintenance system and give reasonable recommendation of maintenance decisions in respect to business and manufacturing perspective.

  1. A Knowledge Based System Offering Consultation for Enhancing Semi-Natural Wetland Functionality

    Batzias, A. F.; Efthymiadou, A. P.; Siontorou, C. G.

    2007-12-01

    Wetland functionality can be enhanced by introducing photosynthetic species, which further to increase the dissolved oxygen levels will contribute diversely to wastewater treatment efficiency. In this work, the design/development of a knowledge-based methodological framework under the form of an algorithmic procedure is presented for introducing the most proper plant species in order to achieve optimal chloroplast density. The procedure is implemented in the case of plant selection with the view of enhancing stability, photosynthetic activity and treatment efficiency, using fuzzy multicriteria ranking of pre-selected species to count for uncertainty. The solution of ranked first alternative (Ceratonia siliqua) is further examined for robustness and the perspectives and advantages of introducing a group of the best performing alternatives (cluster analysis within the multicriteria ranking), in order to assure the most beneficial intervention, are thoroughly discussed.

  2. Knowledge base for EFL/ESL educators: What does it mean?

    Pineda B. Clelia

    2002-08-01

    Full Text Available Searching for an appropriate definition of what constitutes knowledge base in the teaching profession has become a central focus of attention for researchers, educators, and accreditation agencies during the last decades. The importance of clarifying such a definition has a double value. On the one hand it has become a determinant factor when assessing if teacher preparation programs are meeting the standards for excellence in education. On the other hand, the issue concerns prospective and experienced teachers themselves as they search for opportunities to acquire such knowledge whose ultimate goal is to improve the quality of their practice. But what exactly does this knowledge embrace and more specifically how does it influence an English language teacher? The purpose of this article is to present a synthesis of the most significant responses to these questions and to invite English language teachers to examine their knowledge framework in the hope that this reflection allows for an enrichment of their practice.

  3. Using fuzzy logic to integrate neural networks and knowledge-based systems

    Yen, John

    1991-01-01

    Outlined here is a novel hybrid architecture that uses fuzzy logic to integrate neural networks and knowledge-based systems. The author's approach offers important synergistic benefits to neural nets, approximate reasoning, and symbolic processing. Fuzzy inference rules extend symbolic systems with approximate reasoning capabilities, which are used for integrating and interpreting the outputs of neural networks. The symbolic system captures meta-level information about neural networks and defines its interaction with neural networks through a set of control tasks. Fuzzy action rules provide a robust mechanism for recognizing the situations in which neural networks require certain control actions. The neural nets, on the other hand, offer flexible classification and adaptive learning capabilities, which are crucial for dynamic and noisy environments. By combining neural nets and symbolic systems at their system levels through the use of fuzzy logic, the author's approach alleviates current difficulties in reconciling differences between low-level data processing mechanisms of neural nets and artificial intelligence systems.

  4. IMPORTANCE OF THE HUMAN FACTOR IN THE KNOWLEDGE-BASED SOCIETY

    Angela BRETCU

    2016-02-01

    Full Text Available The paper approaches the paradigmatic changes of the current economic situation, in the context of post-modernism and its challenges, which reconsiders human society according to new criteria. One of the characteristics of post-modernism is the development of information and communication techniques, which allowed the occurrence of the „knowledge-based society” whose consequence is the effervescence of fast barrier-free knowledge, absolute freedom of debates, equality of opportunities before the virtual space, but also the relativisation of information, the increases of the danger of manipulation, misleading, or even falsification of the truth. New challenges occur thus in social life, and especially in the economic one, where the human factor becomes increasingly important for the evolution of society. In this context, education seems to play the decisive part, but an education focused on real values, where the truth and the ethics prevail before efficiency and performance.  

  5. Enriching semantic knowledge bases for opinion mining in big data applications.

    Weichselbraun, A; Gindl, S; Scharl, A

    2014-10-01

    This paper presents a novel method for contextualizing and enriching large semantic knowledge bases for opinion mining with a focus on Web intelligence platforms and other high-throughput big data applications. The method is not only applicable to traditional sentiment lexicons, but also to more comprehensive, multi-dimensional affective resources such as SenticNet. It comprises the following steps: (i) identify ambiguous sentiment terms, (ii) provide context information extracted from a domain-specific training corpus, and (iii) ground this contextual information to structured background knowledge sources such as ConceptNet and WordNet. A quantitative evaluation shows a significant improvement when using an enriched version of SenticNet for polarity classification. Crowdsourced gold standard data in conjunction with a qualitative evaluation sheds light on the strengths and weaknesses of the concept grounding, and on the quality of the enrichment process.

  6. 3D Modelling of CMMs Probing Accuracy and Settings using Fuzzy Knowledge Bases

    Achiche, Sofiane; Wozniack, Adam

    2011-01-01

    One of the fundamental elements that determines the precision of Coordinate Measuring Machines (CMMs) is the probe, which locates measuring points within measurement volume. In this paper genetically generated fuzzy knowledge based models of 3D probing accuracy for one and two stage touch trigger...... probes are proposed. The fuzzy models are automatically generated using a dedicated genetic algorithm developed by the authors. The algorithm uses hybrid coding, binary for the rule base and real for the data base. This hybrid coding, used with a set of specialized operators of reproduction, proved...... to be an effective learning environment in this case. Data collection of the measured objects’ coordinates was carried out using a special set-up for probe testing. The authors used a novel method that applies a low-force high-resolution displacement transducer for probe error examination in 3D space outside the CMM...

  7. Structural Topology Design of Container Ship Based on Knowledge-Based Engineering and Level Set Method

    崔进举; 王德禹; 史琪琪

    2015-01-01

    Knowledge-Based Engineering (KBE) is introduced into the ship structural design in this paper. From the implementation of KBE, the design solutions for both Rules Design Method (RDM) and Interpolation Design Method (IDM) are generated. The corresponding Finite Element (FE) models are generated. Topological design of the longitudinal structures is studied where the Gaussian Process (GP) is employed to build the surrogate model for FE analysis. Multi-objective optimization methods inspired by Pareto Front are used to reduce the design tank weight and outer surface area simultaneously. Additionally, an enhanced Level Set Method (LSM) which employs implicit algorithm is applied to the topological design of typical bracket plate which is used extensively in ship structures. Two different sets of boundary conditions are considered. The proposed methods show satisfactory efficiency and accuracy.

  8. Framing a Knowledge Base for a Legal Expert System Dealing with Indeterminate Concepts.

    Araszkiewicz, Michał; Łopatkiewicz, Agata; Zienkiewicz, Adam; Zurek, Tomasz

    2015-01-01

    Despite decades of development of formal tools for modelling legal knowledge and reasoning, the creation of a fully fledged legal decision support system remains challenging. Among those challenges, such system requires an enormous amount of commonsense knowledge to derive legal expertise. This paper describes the development of a negotiation decision support system (the Parenting Plan Support System or PPSS) to support parents in drafting an agreement (the parenting plan) for the exercise of parental custody of minor children after a divorce is granted. The main objective here is to discuss problems of framing an intuitively appealing and computationally efficient knowledge base that can adequately represent the indeterminate legal concept of the well-being of the child in the context of continental legal culture and of Polish law in particular. In addition to commonsense reasoning, interpretation of such a concept demands both legal expertise and significant professional knowledge from other domains.

  9. Postponing aging and prolonging life expectancy with the knowledge-based economy.

    Kristjuhan, Ulo

    2012-04-01

    People are interested in the aging phenomenon and hope that scientists are doing as much as they can to solve the mysteries of aging. However, this is not the case. A lot of knowledge is produced for local interests in curing specific disorders; aging is studied much less. Today's economy is undergoing a transition to a knowledge-based economy. Knowledge of aging should be integrated into the economies of contemporary societies. Aging research and intervention can ensure better health, primarily among middle-aged and older people, and prolong life. There are many reasons why postponing aging and rejuvenation research is not as widespread as it should be. Developed countries should create economic stimuli for such studies and intervention.

  10. Fuzzy Knowledge-based System with Uncertainty for Tropical Infectious Disease Diagnosis

    Putu Manik Prihatini

    2012-07-01

    Full Text Available On the development of medical knowledge-based system, the inability of a patient in a complaint must be dealt with by the fuzzy logic method, while the inability of an expert in defining the relationship between the symptoms of the disease can be treated with certainty factor method. In this study, both methods were combined to make diagnosis of tropical infectious diseases. Knowledge acquired from medical specialist in internal medicine, with produce fact, a crisp and fuzzy symptoms, and rule with the certainty value of the specialist. Reasoning process starts from the implication, decomposition, defuzzification and certainty factor calculation. System developed on web based platform and provide a workplace, explanation facility and knowledge improvement. System testing is done to compare the results of specialist diagnosis and system diagnosis, which results of testing show the system, has similarity with the expert at 91.07%.

  11. Cross-border innovation cooperation: Partner selection, national borders and knowledge bases

    Hjaltadóttir, Rannveig Edda; Makkonen, Teemu; Sørensen, Nils Karl

    2017-01-01

    Finding a suitable partner is paramount for the success of innovation cooperation. Thus, this paper sets out to analyse the determinants of cross-border innovation cooperation in Denmark by focusing on partner selection. The aim of the article is to investigate determinants of partner selection...... by taking the location of the partners into account. In particular, the discussion is tied to the notion of varying knowledge bases firms utilize in their innovation creation processes. Firm level data from the 2010 Community Innovation Survey in Denmark was utilized to analyse cross-border innovation...... cooperation patterns of Danish firms focusing on their choices of foreign innovation partners. The results indicate that firm size and research and development (R&D) intensity have a positive effect on firm’s propensity to cooperate on innovation and that having R&D activities abroad as well as high level...

  12. Framing a Knowledge Base for a Legal Expert System Dealing with Indeterminate Concepts

    Araszkiewicz, Michał; Łopatkiewicz, Agata; Zienkiewicz, Adam; Zurek, Tomasz

    2015-01-01

    Despite decades of development of formal tools for modelling legal knowledge and reasoning, the creation of a fully fledged legal decision support system remains challenging. Among those challenges, such system requires an enormous amount of commonsense knowledge to derive legal expertise. This paper describes the development of a negotiation decision support system (the Parenting Plan Support System or PPSS) to support parents in drafting an agreement (the parenting plan) for the exercise of parental custody of minor children after a divorce is granted. The main objective here is to discuss problems of framing an intuitively appealing and computationally efficient knowledge base that can adequately represent the indeterminate legal concept of the well-being of the child in the context of continental legal culture and of Polish law in particular. In addition to commonsense reasoning, interpretation of such a concept demands both legal expertise and significant professional knowledge from other domains. PMID:26495435

  13. Framing a Knowledge Base for a Legal Expert System Dealing with Indeterminate Concepts

    Michał Araszkiewicz

    2015-01-01

    Full Text Available Despite decades of development of formal tools for modelling legal knowledge and reasoning, the creation of a fully fledged legal decision support system remains challenging. Among those challenges, such system requires an enormous amount of commonsense knowledge to derive legal expertise. This paper describes the development of a negotiation decision support system (the Parenting Plan Support System or PPSS to support parents in drafting an agreement (the parenting plan for the exercise of parental custody of minor children after a divorce is granted. The main objective here is to discuss problems of framing an intuitively appealing and computationally efficient knowledge base that can adequately represent the indeterminate legal concept of the well-being of the child in the context of continental legal culture and of Polish law in particular. In addition to commonsense reasoning, interpretation of such a concept demands both legal expertise and significant professional knowledge from other domains.

  14. FAULT DIAGNOSIS OF ROTATING MACHINERY USING KNOWLEDGE-BASED FUZZY NEURAL NETWORK

    LI Ru-qiang; CHEN Jin; WU Xing

    2006-01-01

    A novel knowledge-based fuzzy neural network (KBFNN) for fault diagnosis is presented. Crude rules were extracted and the corresponding dependent factors and antecedent coverage factors were calculated firstly from the diagnostic sample based on rough sets theory. Then the number of rules was used to construct partially the structure of a fuzzy neural network and those factors were implemented as initial weights, with fuzzy output parameters being optimized by genetic algorithm. Such fuzzy neural network was called KBFNN. This KBFNN was utilized to identify typical faults of rotating machinery.Diagnostic results show that it has those merits of shorter training time and higher right diagnostic level compared to general fuzzy neural networks.

  15. Optimization of knowledge-based systems and expert system building tools

    Yasuda, Phyllis; Mckellar, Donald

    1993-01-01

    The objectives of the NASA-AMES Cooperative Agreement were to investigate, develop, and evaluate, via test cases, the system parameters and processing algorithms that constrain the overall performance of the Information Sciences Division's Artificial Intelligence Research Facility. Written reports covering various aspects of the grant were submitted to the co-investigators for the grant. Research studies concentrated on the field of artificial intelligence knowledge-based systems technology. Activities included the following areas: (1) AI training classes; (2) merging optical and digital processing; (3) science experiment remote coaching; (4) SSF data management system tests; (5) computer integrated documentation project; (6) conservation of design knowledge project; (7) project management calendar and reporting system; (8) automation and robotics technology assessment; (9) advanced computer architectures and operating systems; and (10) honors program.

  16. Multi-agent system for Knowledge-based recommendation of Learning Objects

    Paula Andrea RODRÍGUEZ MARÍN

    2015-12-01

    Full Text Available Learning Object (LO is a content unit being used within virtual learning environments, which -once found and retrieved- may assist students in the teaching - learning process. Such LO search and retrieval are recently supported and enhanced by data mining techniques. In this sense, clustering can be used to find groups holding similar LOs so that from obtained groups, knowledge-based recommender systems (KRS can recommend more adapted and relevant LOs. In particular, prior knowledge come from LOs previously selected, liked and ranked by the student to whom the recommendation will be performed. In this paper, we present a KRS for LOs, which uses a conventional clustering technique, namely K-means, aimed at finding similar LOs and delivering resources adapted to a specific student. Obtained promising results show that proposed KRS is able to both retrieve relevant LO and improve the recommendation precision.Learning Object (LO is a content unit being used within virtual learning environments, which -once found and retrieved- may assist students in the teaching - learning process. Such LO search and retrieval are recently supported and enhanced by data mining techniques. In this sense, clustering can be used to find groups holding similar LOs so that from obtained groups, knowledge-based recommender systems (KRS can recommend more adapted and relevant LOs. In particular, prior knowledge come from LOs previously selected, liked and ranked by the student to whom the recommendation will be performed. In this paper, we present a KRS for LOs, which uses a conventional clustering technique, namely K-means, aimed at finding similar LOs and delivering resources adapted to a specific student. Obtained promising results show that proposed KRS is able to both retrieve relevant LO and improve the recommendation precision.

  17. WE-F-BRB-00: New Developments in Knowledge-Based Treatment Planning and Automation

    NONE

    2015-06-15

    Advancements in informatics in radiotherapy are opening up opportunities to improve our ability to assess treatment plans. Models on individualizing patient dose constraints from prior patient data and shape relationships have been extensively researched and are now making their way into commercial products. New developments in knowledge based treatment planning involve understanding the impact of the radiation dosimetry on the patient. Akin to radiobiology models that have driven intensity modulated radiotherapy optimization, toxicity and outcome predictions based on treatment plans and prior patient experiences may be the next step in knowledge based planning. In order to realize these predictions, it is necessary to understand how the clinical information can be captured, structured and organized with ontologies and databases designed for recall. Large databases containing radiation dosimetry and outcomes present the opportunity to evaluate treatment plans against predictions of toxicity and disease response. Such evaluations can be based on dose volume histogram or even the full 3-dimensional dose distribution and its relation to the critical anatomy. This session will provide an understanding of ontologies and standard terminologies used to capture clinical knowledge into structured databases; How data can be organized and accessed to utilize the knowledge in planning; and examples of research and clinical efforts to incorporate that clinical knowledge into planning for improved care for our patients. Learning Objectives: Understand the role of standard terminologies, ontologies and data organization in oncology Understand methods to capture clinical toxicity and outcomes in a clinical setting Understand opportunities to learn from clinical data and its application to treatment planning Todd McNutt receives funding from Philips, Elekta and Toshiba for some of the work presented.

  18. Evaluation of a Knowledge-Based Planning Solution for Head and Neck Cancer

    Tol, Jim P., E-mail: j.tol@vumc.nl; Delaney, Alexander R.; Dahele, Max; Slotman, Ben J.; Verbakel, Wilko F.A.R.

    2015-03-01

    Purpose: Automated and knowledge-based planning techniques aim to reduce variations in plan quality. RapidPlan uses a library consisting of different patient plans to make a model that can predict achievable dose-volume histograms (DVHs) for new patients and uses those models for setting optimization objectives. We benchmarked RapidPlan versus clinical plans for 2 patient groups, using 3 different libraries. Methods and Materials: Volumetric modulated arc therapy plans of 60 recent head and neck cancer patients that included sparing of the salivary glands, swallowing muscles, and oral cavity were evenly divided between 2 models, Model{sub 30A} and Model{sub 30B}, and were combined in a third model, Model{sub 60}. Knowledge-based plans were created for 2 evaluation groups: evaluation group 1 (EG1), consisting of 15 recent patients, and evaluation group 2 (EG2), consisting of 15 older patients in whom only the salivary glands were spared. RapidPlan results were compared with clinical plans (CP) for boost and/or elective planning target volume homogeneity index, using HI{sub B}/HI{sub E} = 100 × (D2% − D98%)/D50%, and mean dose to composite salivary glands, swallowing muscles, and oral cavity (D{sub sal}, D{sub swal}, and D{sub oc}, respectively). Results: For EG1, RapidPlan improved HI{sub B} and HI{sub E} values compared with CP by 1.0% to 1.3% and 1.0% to 0.6%, respectively. Comparable D{sub sal} and D{sub swal} values were seen in Model{sub 30A}, Model{sub 30B}, and Model{sub 60}, decreasing by an average of 0.1, 1.0, and 0.8 Gy and 4.8, 3.7, and 4.4 Gy, respectively. However, differences were noted between individual organs at risk (OARs), with Model{sub 30B} increasing D{sub oc} by 0.1, 3.2, and 2.8 Gy compared with CP, Model{sub 30A}, and Model{sub 60}. Plan quality was less consistent when the patient was flagged as an outlier. For EG2, RapidPlan decreased D{sub sal} by 4.1 to 4.9 Gy on average, whereas HI{sub B} and HI{sub E} decreased by 1.1% to

  19. Strategic Plan for Nuclear Energy -- Knowledge Base for Advanced Modeling and Simulation (NE-KAMS)

    Rich Johnson; Kimberlyn C. Mousseau; Hyung Lee

    2011-09-01

    NE-KAMS knowledge base will assist computational analysts, physics model developers, experimentalists, nuclear reactor designers, and federal regulators by: (1) Establishing accepted standards, requirements and best practices for V&V and UQ of computational models and simulations, (2) Establishing accepted standards and procedures for qualifying and classifying experimental and numerical benchmark data, (3) Providing readily accessible databases for nuclear energy related experimental and numerical benchmark data that can be used in V&V assessments and computational methods development, (4) Providing a searchable knowledge base of information, documents and data on V&V and UQ, and (5) Providing web-enabled applications, tools and utilities for V&V and UQ activities, data assessment and processing, and information and data searches. From its inception, NE-KAMS will directly support nuclear energy research, development and demonstration programs within the U.S. Department of Energy (DOE), including the Consortium for Advanced Simulation of Light Water Reactors (CASL), the Nuclear Energy Advanced Modeling and Simulation (NEAMS), the Light Water Reactor Sustainability (LWRS), the Small Modular Reactors (SMR), and the Next Generation Nuclear Power Plant (NGNP) programs. These programs all involve computational modeling and simulation (M&S) of nuclear reactor systems, components and processes, and it is envisioned that NE-KAMS will help to coordinate and facilitate collaboration and sharing of resources and expertise for V&V and UQ across these programs. In addition, from the outset, NE-KAMS will support the use of computational M&S in the nuclear industry by developing guidelines and recommended practices aimed at quantifying the uncertainty and assessing the applicability of existing analysis models and methods. The NE-KAMS effort will initially focus on supporting the use of computational fluid dynamics (CFD) and thermal hydraulics (T/H) analysis for M&S of nuclear

  20. A knowledge-based design framework for airplane conceptual and preliminary design

    Anemaat, Wilhelmus A. J.

    The goal of work described herein is to develop the second generation of Advanced Aircraft Analysis (AAA) into an object-oriented structure which can be used in different environments. One such environment is the third generation of AAA with its own user interface, the other environment with the same AAA methods (i.e. the knowledge) is the AAA-AML program. AAA-AML automates the initial airplane design process using current AAA methods in combination with AMRaven methodologies for dependency tracking and knowledge management, using the TechnoSoft Adaptive Modeling Language (AML). This will lead to the following benefits: (1) Reduced design time: computer aided design methods can reduce design and development time and replace tedious hand calculations. (2) Better product through improved design: more alternative designs can be evaluated in the same time span, which can lead to improved quality. (3) Reduced design cost: due to less training and less calculation errors substantial savings in design time and related cost can be obtained. (4) Improved Efficiency: the design engineer can avoid technically correct but irrelevant calculations on incomplete or out of sync information, particularly if the process enables robust geometry earlier. Although numerous advancements in knowledge based design have been developed for detailed design, currently no such integrated knowledge based conceptual and preliminary airplane design system exists. The third generation AAA methods are tested over a ten year period on many different airplane designs. Using AAA methods will demonstrate significant time savings. The AAA-AML system will be exercised and tested using 27 existing airplanes ranging from single engine propeller, business jets, airliners, UAV's to fighters. Data for the varied sizing methods will be compared with AAA results, to validate these methods. One new design, a Light Sport Aircraft (LSA), will be developed as an exercise to use the tool for designing a new airplane

  1. New frontiers in information and production systems modelling and analysis incentive mechanisms, competence management, knowledge-based production

    Novikov, Dmitry; Bakhtadze, Natalia; Zaikin, Oleg

    2016-01-01

    This book demonstrates how to apply modern approaches to complex system control in practical applications involving knowledge-based systems. The dimensions of knowledge-based systems are extended by incorporating new perspectives from control theory, multimodal systems and simulation methods.  The book is divided into three parts: theory, production system and information system applications. One of its main focuses is on an agent-based approach to complex system analysis. Moreover, specialised forms of knowledge-based systems (like e-learning, social network, and production systems) are introduced with a new formal approach to knowledge system modelling.   The book, which offers a valuable resource for researchers engaged in complex system analysis, is the result of a unique cooperation between scientists from applied computer science (mainly from Poland) and leading system control theory researchers from the Russian Academy of Sciences’ Trapeznikov Institute of Control Sciences.

  2. The Developmental Brain Disorders Database (DBDB): a curated neurogenetics knowledge base with clinical and research applications.

    Mirzaa, Ghayda M; Millen, Kathleen J; Barkovich, A James; Dobyns, William B; Paciorkowski, Alex R

    2014-06-01

    The number of single genes associated with neurodevelopmental disorders has increased dramatically over the past decade. The identification of causative genes for these disorders is important to clinical outcome as it allows for accurate assessment of prognosis, genetic counseling, delineation of natural history, inclusion in clinical trials, and in some cases determines therapy. Clinicians face the challenge of correctly identifying neurodevelopmental phenotypes, recognizing syndromes, and prioritizing the best candidate genes for testing. However, there is no central repository of definitions for many phenotypes, leading to errors of diagnosis. Additionally, there is no system of levels of evidence linking genes to phenotypes, making it difficult for clinicians to know which genes are most strongly associated with a given condition. We have developed the Developmental Brain Disorders Database (DBDB: https://www.dbdb.urmc.rochester.edu/home), a publicly available, online-curated repository of genes, phenotypes, and syndromes associated with neurodevelopmental disorders. DBDB contains the first referenced ontology of developmental brain phenotypes, and uses a novel system of levels of evidence for gene-phenotype associations. It is intended to assist clinicians in arriving at the correct diagnosis, select the most appropriate genetic test for that phenotype, and improve the care of patients with developmental brain disorders. For researchers interested in the discovery of novel genes for developmental brain disorders, DBDB provides a well-curated source of important genes against which research sequencing results can be compared. Finally, DBDB allows novel observations about the landscape of the neurogenetics knowledge base.

  3. A Transformation-oriented Methodology to Knowledge-based Conceptual Data Warehouse Design

    Opim S. Sitompul

    2006-01-01

    Full Text Available Applications of artificial intelligence (AI technology in the form of knowledge-based systems within the context of database design have been extensively researched particularly to provide support within the conceptual design phase. However, a similar approach to the task of data warehouse design has yet to be seriously initiated. In this paper, we proposed a design methodology for conceptual data warehouse design called the transformation-oriented methodology, which transforms an Entity-Relationship (ER model into a multidimensional model based on a series of transformation and analysis rules. The transformation-oriented methodology translates the ER model into a specification language model and transformed it into an initial problem domain model. A set of synthesis and diagnosis rules will then gradually transform the problem domain model into the multidimensional model. A prototype KB tool called the DWDesigner has been developed to implement the aforementioned methodology. The multidimensional model produces by the DWDesigner as output is presented in a graphical form for better visualization. Testing has been conducted to a number of design problems, such as university, business and hospital domains and consistent results have been achieved.

  4. KGI-XGIS SUPPORTING DECISION MAKING WITH KNOWLEDGE-BASED TECHNIQUES

    2001-01-01

    The concept of the King George Island Expert GIS (KGI-XGIS) is introduced.KGI-XGIS is a combination of a rule-based expert system and a GIS meant to form anintelligent spatial decision support system.The system provides the spatial knowledge necessary for the environmental impact assessment process as dictated by the 'Madrid Protocol'for King George Island (South Shetland Islands,Antarctica).It also serves as information system to the scientific user community.Topographic maps,remote sensing data,thematic maps based on field surveys and other digital data these must be combined and usea in the most efficient way.Therefore expert knowledge of different dom ains will be coded into a rule-based expert system whichis coupled to the GIS .To handle the expert knowledge and the spatial data of different types and dirrerent quality the KGI-XGIS incorporates knowledge-based techniques and fuizzyreasoning.The selection of a camp site on the ice free area of Fildes Peninsula and data quality management are used as two examples to demonstrate the capabioities of the system

  5. Lynx: a knowledge base and an analytical workbench for integrative medicine.

    Sulakhe, Dinanath; Xie, Bingqing; Taylor, Andrew; D'Souza, Mark; Balasubramanian, Sandhya; Hashemifar, Somaye; White, Steven; Dave, Utpal J; Agam, Gady; Xu, Jinbo; Wang, Sheng; Gilliam, T Conrad; Maltsev, Natalia

    2016-01-04

    Lynx (http://lynx.ci.uchicago.edu) is a web-based database and a knowledge extraction engine. It supports annotation and analysis of high-throughput experimental data and generation of weighted hypotheses regarding genes and molecular mechanisms contributing to human phenotypes or conditions of interest. Since the last release, the Lynx knowledge base (LynxKB) has been periodically updated with the latest versions of the existing databases and supplemented with additional information from public databases. These additions have enriched the data annotations provided by Lynx and improved the performance of Lynx analytical tools. Moreover, the Lynx analytical workbench has been supplemented with new tools for reconstruction of co-expression networks and feature-and-network-based prioritization of genetic factors and molecular mechanisms. These developments facilitate the extraction of meaningful knowledge from experimental data and LynxKB. The Service Oriented Architecture provides public access to LynxKB and its analytical tools via user-friendly web services and interfaces.

  6. Capturing district nursing through a knowledge-based electronic caseload analysis tool (eCAT).

    Kane, Kay

    2014-03-01

    The Electronic Caseload Analysis Tool (eCAT) is a knowledge-based software tool to assist the caseload analysis process. The tool provides a wide range of graphical reports, along with an integrated clinical advisor, to assist district nurses, team leaders, operational and strategic managers with caseload analysis by describing, comparing and benchmarking district nursing practice in the context of population need, staff resources, and service structure. District nurses and clinical lead nurses in Northern Ireland developed the tool, along with academic colleagues from the University of Ulster, working in partnership with a leading software company. The aim was to use the eCAT tool to identify the nursing need of local populations, along with the variances in district nursing practice, and match the workforce accordingly. This article reviews the literature, describes the eCAT solution and discusses the impact of eCAT on nursing practice, staff allocation, service delivery and workforce planning, using fictitious exemplars and a post-implementation evaluation from the trusts.

  7. Integrated knowledge-based tools for documenting and monitoring damages to built heritage

    Cacciotti, R.

    2015-08-01

    The advancements of information technologies as applied to the most diverse fields of science define a breakthrough in the accessibility and processing of data for both expert and non-expert users. Nowadays it is possible to evidence an increasingly relevant research effort in the context of those domains, such as that of cultural heritage protection, in which knowledge mapping and sharing constitute critical prerequisites for accomplishing complex professional tasks. The aim of this paper is to outline the main results and outputs of the MONDIS research project. This project focusses on the development of integrated knowledge-based tools grounded on an ontological representation of the field of heritage conservation. The scope is to overcome the limitations of earlier databases by the application of modern semantic technologies able to integrate, organize and process useful information concerning damages to built heritage objects. In particular MONDIS addresses the need for supporting a diverse range of stakeholders (e.g. administrators, owners and professionals) in the documentation and monitoring of damages to historical constructions and in finding related remedies. The paper concentrates on the presentation of the following integrated knowledgebased components developed within the project: (I) MONDIS mobile application (plus desktop version), (II) MONDIS record explorer, (III) Ontomind profiles, (IV) knowledge matrix and (V) terminology editor. An example of practical application of the MONDIS integrated system is also provided and finally discussed.

  8. Knowledge-based discovery for designing CRISPR-CAS systems against invading mobilomes in thermophiles.

    Chellapandi, P; Ranjani, J

    2015-09-01

    Clustered regularly interspaced short palindromic repeats (CRISPRs) are direct features of the prokaryotic genomes involved in resistance to their bacterial viruses and phages. Herein, we have identified CRISPR loci together with CRISPR-associated sequences (CAS) genes to reveal their immunity against genome invaders in the thermophilic archaea and bacteria. Genomic survey of this study implied that genomic distribution of CRISPR-CAS systems was varied from strain to strain, which was determined by the degree of invading mobiloms. Direct repeats found to be equal in some extent in many thermopiles, but their spacers were differed in each strain. Phylogenetic analyses of CAS superfamily revealed that genes cmr, csh, csx11, HD domain, devR were belonged to the subtypes of cas gene family. The members in cas gene family of thermophiles were functionally diverged within closely related genomes and may contribute to develop several defense strategies. Nevertheless, genome dynamics, geological variation and host defense mechanism were contributed to share their molecular functions across the thermophiles. A thermophilic archaean, Thermococcus gammotolerans and thermophilic bacteria, Petrotoga mobilis and Thermotoga lettingae have shown superoperons-like appearance to cluster cas genes, which were typically evolved for their defense pathways. A cmr operon was identified with a specific promoter in a thermophilic archaean, Caldivirga maquilingensis. Overall, we concluded that knowledge-based genomic survey and phylogeny-based functional assignment have suggested for designing a reliable genetic regulatory circuit naturally from CRISPR-CAS systems, acquired defense pathways, to thermophiles in future synthetic biology.

  9. Human Resource Development for Knowledge-based Society and Challenges of Nagoya University

    Miyata, Takashi

    Innovation in the previous century resulted in development of useful products ranging from automobiles and aircraft to cellular phones. However, the innovation and development of science and technology have changed the society and brought about negative issues. The issues emerged in the previous century remain in the excessive forms in the 21st century. The 21st century is seeing the rise of knowledge-based society, and paradigm shift is now going on. Human resources of university for creation of innovation are being called on to contribute to solving issues. Young people who pass through a doctor program must play a role as an innovator who can promote the paradigm shift. However, the higher education system of the universities in Japan is now required to be changed to dissolve the mismatch on the doctor program with industries, government and students. The discussion in the Business-University Forum of Japan for innovation of education system and a few challenges of the Nagoya University are introduced in this paper.

  10. Adversarial intent modeling using embedded simulation and temporal Bayesian knowledge bases

    Pioch, Nicholas J.; Melhuish, James; Seidel, Andy; Santos, Eugene, Jr.; Li, Deqing; Gorniak, Mark

    2009-05-01

    To foster shared battlespace awareness among air strategy planners, BAE Systems has developed Commander's Model Integration and Simulation Toolkit (CMIST), an Integrated Development Environment for authoring, integration, validation, and debugging of models relating multiple domains, including political, military, social, economic and information. CMIST provides a unified graphical user interface for such systems of systems modeling, spanning several disparate modeling paradigms. Here, we briefly review the CMIST architecture and then compare modeling results using two approaches to intent modeling. The first uses reactive agents with simplified behavior models that apply rule-based triggers to initiate actions based solely on observations of the external world at the current time in the simulation. The second method models proactive agents running an embedded CMIST simulation representing their projection of how events may unfold in the future in order to take early preventative action. Finally, we discuss a recent extension to CMIST that incorporates Temporal Bayesian Knowledge Bases for more sophisticated models of adversarial intent that are capable of inferring goals and future actions given evidence of current actions at particular times.

  11. Mitigating Reputational Risks - A Proposal With A Knowledge-Based Stakeholder Information Leitstand

    Martin Stöβlein

    2009-02-01

    Full Text Available The Internet plays a crucial role in the communication strategy of organizations. However, information is often distributed at the "wrong" time and does not always satisfy the particular requirements of key customers, suppliers, governments, shareholders or financial analysts. Serious mistakes might not only create negative sequela, for example, stakeholders remain unsatisfied, downgrade their opinions about products and companies, and subsequently make 'wrong' decisions. Such mistakes could also have tremendous effects on the primary objectives of an enterprise, e.g., the reputation suffers and subsequently the share price plunges. In this paper, we present how companies can take advantage of actively providing targeted information with a knowledge-based Stakeholder Information Leitstand (information planning and control center. It helps executives stabilize relationships with key customers, journalists, politicians, investors, and assists in promoting trust and enhancing reputation, especially in times of risk situations. We focus on the design phase of the system, and propose that current decision support systems could be enriched with "business content", i.e. predefined situation-oriented and individualized information categories and messages.

  12. The ins and outs of eukaryotic viruses: Knowledge base and ontology of a viral infection

    Hulo, Chantal; Masson, Patrick; de Castro, Edouard; Auchincloss, Andrea H.; Foulger, Rebecca; Poux, Sylvain; Lomax, Jane; Bougueleret, Lydie; Xenarios, Ioannis

    2017-01-01

    Viruses are genetically diverse, infect a wide range of tissues and host cells and follow unique processes for replicating themselves. All these processes were investigated and indexed in ViralZone knowledge base. To facilitate standardizing data, a simple ontology of viral life-cycle terms was developed to provide a common vocabulary for annotating data sets. New terminology was developed to address unique viral replication cycle processes, and existing terminology was modified and adapted. The virus life-cycle is classically described by schematic pictures. Using this ontology, it can be represented by a combination of successive terms: “entry”, “latency”, “transcription”, “replication” and “exit”. Each of these parts is broken down into discrete steps. For example Zika virus “entry” is broken down in successive steps: “Attachment”, “Apoptotic mimicry”, “Viral endocytosis/ macropinocytosis”, “Fusion with host endosomal membrane”, “Viral factory”. To demonstrate the utility of a standard ontology for virus biology, this work was completed by annotating virus data in the ViralZone, UniProtKB and Gene Ontology databases. PMID:28207819

  13. A versatile knowledge-based clinical imaging annotation system for breast cancer screening

    Gemo, Monica; Gouze, Annabelle; Debande, Benoît; Grivegnée, André; Mazy, Gilbert; Macq, Benoît

    2007-03-01

    Medical information is evolving towards more complex multimedia data representation, as new imaging modalities are made available by sophisticated devices. Features such as segmented lesions can now be extracted through analysis techniques and need to be integrated into clinical patient data. The management of structured information extracted from multimedia has been addressed in knowledge based annotation systems providing methods to attach interpretative semantics to multimedia content. Building on these methods, we develop a new clinical imaging annotation system for computer aided breast cancer screening. The proposed system aims at more consistent, efficient and standardised data mark-up of digital and digitalised radiology images. The objective is to provide detailed characterisation of abnormalities as an aid in the diagnostic task through integrated annotation management. The system combines imaging analysis results and radiologist diagnostic information about suspicious findings by mapping well-established visual and low-level descriptors into pathology specific profiles. The versatile characterisation allows differentiating annotation descriptors for different types of findings. Our approach of semi-automatic integrated annotations supports increased quality assurance in screening practice. This is achieved through detailed and objective patient imaging information while providing user-friendly means for their manipulation that is oriented to relieving the radiologist's workload.

  14. Knowledge-based analysis of functional impacts of mutations in microRNA seed regions

    Anindya Bhattacharya; Yan Cui

    2015-10-01

    MicroRNAs are a class of important post-transcriptional regulators. Genetic and somatic mutations in miRNAs, especially those in the seed regions, have profound and broad impacts on gene expression and physiological and pathological processes. Over 500 SNPs were mapped to the miRNA seeds, which are located at position 2–8 of the mature miRNA sequences. We found that the central positions of the miRNA seeds contain fewer genetic variants and therefore are more evolutionary conserved than the peripheral positions in the seeds. We developed a knowledge-based method to analyse the functional impacts of mutations in miRNA seed regions. We computed the gene ontology-based similarity score GOSS and the GOSS percentile score for all 517 SNPs in miRNA seeds. In addition to the annotation of SNPs for their functional effects, in the present article we also present a detailed analysis pipeline for finding the key functional changes for seed SNPs. We performed a detailed gene ontology graph-based analysis of enriched functional categories for miRNA target gene sets. In the analysis of a SNP in the seed region of hsa-miR-96 we found that two key biological processes for progressive hearing loss `Neurotrophin TRK receptor signaling pathway' and `Epidermal growth factor receptor signaling pathway' were significantly and differentially enriched by the two sets of allele-specific target genes of miRNA hsa-miR-96.

  15. Computing gene expression data with a knowledge-based gene clustering approach.

    Rosa, Bruce A; Oh, Sookyung; Montgomery, Beronda L; Chen, Jin; Qin, Wensheng

    2010-01-01

    Computational analysis methods for gene expression data gathered in microarray experiments can be used to identify the functions of previously unstudied genes. While obtaining the expression data is not a difficult task, interpreting and extracting the information from the datasets is challenging. In this study, a knowledge-based approach which identifies and saves important functional genes before filtering based on variability and fold change differences was utilized to study light regulation. Two clustering methods were used to cluster the filtered datasets, and clusters containing a key light regulatory gene were located. The common genes to both of these clusters were identified, and the genes in the common cluster were ranked based on their coexpression to the key gene. This process was repeated for 11 key genes in 3 treatment combinations. The initial filtering method reduced the dataset size from 22,814 probes to an average of 1134 genes, and the resulting common cluster lists contained an average of only 14 genes. These common cluster lists scored higher gene enrichment scores than two individual clustering methods. In addition, the filtering method increased the proportion of light responsive genes in the dataset from 1.8% to 15.2%, and the cluster lists increased this proportion to 18.4%. The relatively short length of these common cluster lists compared to gene groups generated through typical clustering methods or coexpression networks narrows the search for novel functional genes while increasing the likelihood that they are biologically relevant.

  16. Business Intelligence & Knowledge Management - Technological Support for Strategic Management in the Knowledge Based Economy

    Dorel PARASCHIV

    2008-01-01

    Full Text Available The viability and success of modern enterprises are subject to the increasing dynamic of the economic environment, so they need to adjust rapidly their policies and strategies in order to respond to sophistication of competitors, customers and suppliers, globalization of business, international competition. Perhaps the most critical component for success of the modern enterprise is its ability to take advantage of all available information - both internal and external. Making sense of all this information, gaining value and competitive advantage through represents real challenges for the enterprise. The IT solutions designed to address these challenges have been developed in two different approaches: structured data management (Business Intelligence and unstructured content management (Knowledge Management. Integrating Business Intelligence and Knowledge Management in new software applications designated not only to store highly structured data and exploit it in real time but also to interpret the results and communicate them to decision factors provides real technological support for Strategic Management. Integrating Business Intelligence and Knowledge Management in order to respond to the challenges the modern enterprise has to deal with represents not only a "new trend" in IT, but a necessity in the emerging knowledge based economy. These hybrid technologies are already widely known in both scientific and practice communities as Competitive Intelligence. In the end of paper,a competitive datawarehouse design is proposed, in an attempt to apply business intelligence technologies to economic environment analysis making use of romanian public data sources.

  17. Neuro-Knowledge-Based Expert System (NKBES)for Optimal Scheming of Die Casting Process

    Qiaodan HU; Peng LUO; Yi YANG; Liliang CHEN

    2004-01-01

    We develop a neuro-knowledge-based expert system (NKBES) frame in this work. The system mainly concerns with decision of gating system and die casting machine based on a neuro-inference engine launched under the MATLAB software environment. For enhancement of reasoning agility, an error back-propagation neural network was applied.A rapidly convergent adaptive learning rate (ALR) and a momentum-based error back-propagation algorithm was used to conduct neuro-reasoning. The working effect of the system was compared to a conventional expert system that is based on a two-way (forward and backward) chaining inference mechanism. As the reference, the present paper provided the neural networks sum-squared error (SSE) and ALR vs iterative epoch curves of process planning case mentioned above. The study suggests that the neuro-modeling optimization application to die casting process design has good feasibility, and based on that a novel and effective intelligent expert system can be launched at low cost.

  18. MARKETING AND INNOVATION IN ENVIRONMENT BANKING FINANCIAL - REQUIREMENTS IN A KNOWLEDGE-BASED SOCIETY AND TECHNOLOGY

    MIRCEA VALERIA ARINA

    2015-04-01

    Full Text Available In the context of knowledge-based economy and society has acquired a connotation marketing role vital for all fields. Evolution of social, cultural, political and economic, information, design and conduct of marketing activities contribute to increasing the efficiency of any institution. Evolution of marketing over time provoked the great researchers who have tried to define the concept of their views, but only surprising aspects of this vast and important field. The definitions are different as shown in the article approach, the essence is the same. In the banking and financial role of marketing is to continually improve the quality of customer services and products offered by formulating appropriate marketing strategies so as to be able to influence The consumer buying behavior. Customer focus, his loyalty and not least an innovative marketing that starts at the client key aspects FEATURES today. The emphasis on innovation and ingenuity in order to: create new banking services and products, ways to attract customers; loyalty of existing ones, defining marketing and communication strategies lead to appropriate strategies to maximize the results of innovative marketing campaigns. Referring to work in the banking environment we can say that innovation is the key to success BANK and are based on: product and service innovations, process innovations, organizational innovations, and not least of marketing innovations.

  19. Saliva Ontology: An ontology-based framework for a Salivaomics Knowledge Base

    Smith Barry

    2010-06-01

    Full Text Available Abstract Background The Salivaomics Knowledge Base (SKB is designed to serve as a computational infrastructure that can permit global exploration and utilization of data and information relevant to salivaomics. SKB is created by aligning (1 the saliva biomarker discovery and validation resources at UCLA with (2 the ontology resources developed by the OBO (Open Biomedical Ontologies Foundry, including a new Saliva Ontology (SALO. Results We define the Saliva Ontology (SALO; http://www.skb.ucla.edu/SALO/ as a consensus-based controlled vocabulary of terms and relations dedicated to the salivaomics domain and to saliva-related diagnostics following the principles of the OBO (Open Biomedical Ontologies Foundry. Conclusions The Saliva Ontology is an ongoing exploratory initiative. The ontology will be used to facilitate salivaomics data retrieval and integration across multiple fields of research together with data analysis and data mining. The ontology will be tested through its ability to serve the annotation ('tagging' of a representative corpus of salivaomics research literature that is to be incorporated into the SKB.

  20. Knowledge management: An abstraction of knowledge base and database management systems

    Riedesel, Joel D.

    1990-01-01

    Artificial intelligence application requirements demand powerful representation capabilities as well as efficiency for real-time domains. Many tools exist, the most prevalent being expert systems tools such as ART, KEE, OPS5, and CLIPS. Other tools just emerging from the research environment are truth maintenance systems for representing non-monotonic knowledge, constraint systems, object oriented programming, and qualitative reasoning. Unfortunately, as many knowledge engineers have experienced, simply applying a tool to an application requires a large amount of effort to bend the application to fit. Much work goes into supporting work to make the tool integrate effectively. A Knowledge Management Design System (KNOMAD), is described which is a collection of tools built in layers. The layered architecture provides two major benefits; the ability to flexibly apply only those tools that are necessary for an application, and the ability to keep overhead, and thus inefficiency, to a minimum. KNOMAD is designed to manage many knowledge bases in a distributed environment providing maximum flexibility and expressivity to the knowledge engineer while also providing support for efficiency.

  1. A selective review of knowledge-based approaches to database design

    Shahrul Azman Noah

    1995-01-01

    Full Text Available The inclusion of real world knowledge or specialised knowledge has not been addressed by the majority of the systems reviewed. ODA has real world knowledge provided by using a thesaurus-type structure to represent generic models. Only NITDT includes the specialised knowledge in its knowledge base. NITDT classified its knowledge into application specific, domain specific and general knowledge. However the literature does not discuss in detail how this knowledge is applied during the design session. One of the key factors that distinguish computer-based expert systems from human experts is that the latter apply not only their specialised expertise to a problem but also their general knowledge of the world. NITDT is the only system reviewed here that holds any form of internal domain specific knowledge, which can be easily augmented, enriched and updated, as required. This knowledge allows the designer to be an active participant along with the user in the design process and significantly eases the user task. The inclusion of real world knowledge and specialised knowledge is an area that must be further addressed before intelligent tools are able to offer a realistic level of assistance to the human designers.

  2. THE IMPACT OF MOVING TO KNOWLEDGE BASED ECONOMY IN THE PUBLIC SECTOR

    Mihaela PACESILA

    2006-01-01

    Full Text Available Global economy underwent profound changes in the last fifteen years, whichdetermined the appearance of a new economy – the knowledge economy.This economy is the result of the knowledge revolution, which gets a greaterand greater importance. Knowledge development is also very important inpublic sector. The knowledge society and its impact in public sectordevelopment is a critical area of study. The knowledge economy in publicsector requires the utilization of the knowledge in order to improve thetransparence, the services delivering to the citizens, for a bettercommunication with the citizens/users/clients and in order to improve theknowing degree of their needs. The transition to the knowledge economy inpublic sector has to take place in a decentralized, non-bureaucratic, cataliticand permissive environment, orientated to the results. In the same time, thepublic organizations must become knowledge based organizations, that havethe responsability and the flexibility to achieve the objectives publicly defined.In order to promote efficiently the development in the knowledge economy,the government must facilitate, instead of breaking, the process of economicchanges and modernizations, according as this modifications create newopportuneness and raised revenues. This must become as fast, selectiveand flexible as the economy and the society with which is mostly in contactand it must adopt the political decisions that serve the best the publicinterest.

  3. Knowledge-based competitiveness indices and its connection with energy indices

    Katić Andrea V.

    2016-01-01

    Full Text Available Knowledge-based economy has become a major trend in international society in the 21st century. However, today’s strategies place a greater emphasis on sustainability than in the past, while continuing to emphasize the importance of education and its connection with labour market. There has been a re-orientation, where resource, eco-efficiency and innovation have become major elements for achieving national objectives and a relevant level of competitiveness. This article deals with 30 indices, which define the competitiveness of a specific economy, and involve knowledge parameters. They are classified into four main categories and one special category. They are then analysed regarding the participation of Serbia and their availability. The main focus of this paper is to give detailed analyses of energy indices, as a special category of knowledge indexes. It has been shown that Serbia, in many cases, was not included in the study analysis or that there was insufficient information about Serbia’s position. This article shows that only a part of the presented indices includes Serbia. It is concluded that a new, revised model is needed that will include more exact indicators.

  4. Designing optimal transportation networks: a knowledge-based computer-aided multicriteria approach

    Tung, S.I.

    1986-01-01

    The dissertation investigates the applicability of using knowledge-based expert systems (KBES) approach to solve the single-mode (automobile), fixed-demand, discrete, multicriteria, equilibrium transportation-network-design problem. Previous works on this problem has found that mathematical programming method perform well on small networks with only one objective. Needed is a solution technique that can be used on large networks having multiple, conflicting criteria with different relative importance weights. The KBES approach developed in this dissertation represents a new way to solve network design problems. The development of an expert system involves three major tasks: knowledge acquisition, knowledge representation, and testing. For knowledge acquisition, a computer aided network design/evaluation model (UFOS) was developed to explore the design space. This study is limited to the problem of designing an optimal transportation network by adding and deleting capacity increments to/from any link in the network. Three weighted criteria were adopted for use in evaluating each design alternative: cost, average V/C ratio, and average travel time.

  5. Combining Neural Methods and Knowledge-Based Methods in Accident Management

    Miki Sirola

    2012-01-01

    Full Text Available Accident management became a popular research issue in the early 1990s. Computerized decision support was studied from many points of view. Early fault detection and information visualization are important key issues in accident management also today. In this paper we make a brief review on this research history mostly from the last two decades including the severe accident management. The author’s studies are reflected to the state of the art. The self-organizing map method is combined with other more or less traditional methods. Neural methods used together with knowledge-based methods constitute a methodological base for the presented decision support prototypes. Two application examples with modern decision support visualizations are introduced more in detail. A case example of detecting a pressure drift on the boiling water reactor by multivariate methods including innovative visualizations is studied in detail. Promising results in early fault detection are achieved. The operators are provided by added information value to be able to detect anomalies in an early stage already. We provide the plant staff with a methodological tool set, which can be combined in various ways depending on the special needs in each case.

  6. Integrating movement in academic classrooms: understanding, applying and advancing the knowledge base.

    Webster, C A; Russ, L; Vazou, S; Goh, T L; Erwin, H

    2015-08-01

    In the context of comprehensive and coordinated approaches to school health, academic classrooms have gained attention as a promising setting for increasing physical activity and reducing sedentary time among children. The aims of this paper are to review the rationale and knowledge base related to movement integration in academic classrooms, consider the practical applications of current knowledge to interventions and teacher education, and suggest directions for future research. Specifically, this paper (i) situates movement integration amid policy and research related to children's health and the school as a health-promoting environment; (ii) highlights the benefits of movement integration; (iii) summarizes movement integration programs and interventions; (iv) examines factors associated with classroom teachers' movement integration; (v) offers strategies for translating research to practice and (vi) forwards recommendations for future inquiry related to the effectiveness and sustainability of efforts to integrate movement into classroom routines. This paper provides a comprehensive resource for developing state-of-the-art initiatives to maximize children's movement in academic classrooms as a key strategy for important goals in both education and public health.

  7. Fuzzy Linguistic Knowledge Based Behavior Extraction for Building Energy Management Systems

    Dumidu Wijayasekara; Milos Manic

    2013-08-01

    Significant portion of world energy production is consumed by building Heating, Ventilation and Air Conditioning (HVAC) units. Thus along with occupant comfort, energy efficiency is also an important factor in HVAC control. Modern buildings use advanced Multiple Input Multiple Output (MIMO) control schemes to realize these goals. However, since the performance of HVAC units is dependent on many criteria including uncertainties in weather, number of occupants, and thermal state, the performance of current state of the art systems are sub-optimal. Furthermore, because of the large number of sensors in buildings, and the high frequency of data collection, large amount of information is available. Therefore, important behavior of buildings that compromise energy efficiency or occupant comfort is difficult to identify. This paper presents an easy to use and understandable framework for identifying such behavior. The presented framework uses human understandable knowledge-base to extract important behavior of buildings and present it to users via a graphical user interface. The presented framework was tested on a building in the Pacific Northwest and was shown to be able to identify important behavior that relates to energy efficiency and occupant comfort.

  8. Socio-cultural and knowledge-based barriers to tuberculosis diagnosis for women in Bhopal, India

    Evonne McArthur

    2016-01-01

    Full Text Available Background: In India, only one woman is diagnosed with tuberculosis (TB for every 2.4 men. Previous studies have indicated gender disparities in care-seeking behavior and TB diagnosis; however, little is known about the specific barriers women face. Objectives: This study aimed to characterize socio-cultural and knowledge-based barriers that affected TB diagnosis for women in Bhopal, India. Materials and Methods: In-depth interviews were conducted with 13 affected women and 6 health-care workers. The Bhopal Diagnostic Microscopy Laboratory Register (n = 121 and the Bhopal district report (n = 261 were examined for diagnostic and care-seeking trends. Results: Women, especially younger women, faced socio-cultural barriers and stigma, causing many to hide their symptoms. Older women had little awareness about TB. Women often sought treatment from private practitioners, resulting in delayed diagnosis. Conclusions: Understanding these diagnostic and help-seeking behaviors barriers for women is critical for development of a gender-sensitive TB control program.

  9. Biotechnology as the engine for the Knowledge-Based Bio-Economy.

    Aguilar, Alfredo; Bochereau, Laurent; Matthiessen, Line

    2010-01-01

    The European Commission has defined the Knowledge-Based Bio-Economy (KBBE) as the process of transforming life science knowledge into new, sustainable, eco-efficient and competitive products. The term "Bio-Economy" encompasses all industries and economic sectors that produce, manage and otherwise exploit biological resources and related services. Over the last decades biotechnologies have led to innovations in many agricultural, industrial, medical sectors and societal activities. Biotechnology will continue to be a major contributor to the Bio-Economy, playing an essential role in support of economic growth, employment, energy supply and a new generation of bio-products, and to maintain the standard of living. The paper reviews some of the main biotechnology-related research activities at European level. Beyond the 7th Framework Program for Research and Technological Development (FP7), several initiatives have been launched to better integrate FP7 with European national research activities, promote public-private partnerships and create better market and regulatory environments for stimulating innovation.

  10. Design consideration in constructing high performance embedded Knowledge-Based Systems (KBS)

    Dalton, Shelly D.; Daley, Philip C.

    1988-01-01

    As the hardware trends for artificial intelligence (AI) involve more and more complexity, the process of optimizing the computer system design for a particular problem will also increase in complexity. Space applications of knowledge based systems (KBS) will often require an ability to perform both numerically intensive vector computations and real time symbolic computations. Although parallel machines can theoretically achieve the speeds necessary for most of these problems, if the application itself is not highly parallel, the machine's power cannot be utilized. A scheme is presented which will provide the computer systems engineer with a tool for analyzing machines with various configurations of array, symbolic, scaler, and multiprocessors. High speed networks and interconnections make customized, distributed, intelligent systems feasible for the application of AI in space. The method presented can be used to optimize such AI system configurations and to make comparisons between existing computer systems. It is an open question whether or not, for a given mission requirement, a suitable computer system design can be constructed for any amount of money.

  11. Bi-directional Linkability From Wikipedia to Documents and Back Again: UMass at TREC 2012 Knowledge Base Acceleration Track

    2012-11-01

    cutoff (ETR) document set. The PRF query model uses The parameter settings: λT = 0.3, λNV = 0.3, λCW = 0.2, λNER = 0.2. The highest scor - ing 2000...Base Acceleration Track. UMass’ objective is to in- troduce a single model for Knowledge Base Entity Link- ing and Knowledge Base Acceleration stream...from mentions of entities in docu- ments to their KB entries. The entity to document di- rection, is modeled as a retrieval task where the goal is to

  12. The DOE Knowledge Base Mthodology for the Creation of an Optimal Spatial Tessellation

    Hipp, J.R.; Moore, S.G.; Shepherd, E.; Young, C.J

    1998-10-20

    The DOE Knowledge Base is a library of detailed information whose purpose is to improve the capability of the United States National Data Center (USNDC) to monitor compliance with the Comprehensive Test Ban Treaty (CTBT). Much of the data contained by the Knowledge Base is spatial in nature, and some of it is used to improve the accuracy with which seismic locations are determined while maintaining or improving current calculational perfor- mance. In this presentation, we define and describe the methodology used to create spatial tessellations of seismic data which are utilized with a gradient-modified natural-neighbor interpolation method to evaluate travel-time corrections. The goal is to interpolate a specified correction surface, or a group of them, with prescribed accuracy and surface smoothness requirements, while minimizing the number of data points necessary to represent the surface. Maintain- ing accuracy is crucial toward improving the precision of seismic origin location. Minimizing the number of nodes in the tessellation improves calculational and data access efficiency and performance. The process requires two initialization steps and an iterated 7 step algorithm for inserting new tessellation nodes. First, M residual data from ground truth events are included in the tessellation. These data remain fixed throughout the creation of the triangular tessellation. Next, a coarse grid of nodes is laid over the region to be tessellated. The coarse grid is necessary to define the boundary of the region to be tessellated. Next the 7 step iterated algorithm is performed to add new nodes to the tessellation to ensure that accuracy and smoothness requirements are met. These steps include 1) all data points in the tessellation are linked together to form a triangular tessellation using p standard Delaunay tessellation technique; 2) all of the data points, excluding the original data and boundruy nodes, are smoothed using a length-weighted Laplacian smoother to

  13. KNOWLEDGE-BASED MIGRATION AND MOBILITY: THE ECONOMIC 'GAMBLE' OF THE EASTERN NEIGHBOURHOOD

    G. Kharlamova

    2016-10-01

    Full Text Available To what extent can the scientific migration and mobility, and remittances impact the economic development of the donor and recipient states? How significant are they as a resource for the enhancement of the Eastern Partnership? The policy brief provides the results of the quantitative assessment of the costs and benefits of "smart" labour migration in the Eastern Partnership (EaP countries and proposes some policy recommendations to enhance the benefits stemming from knowledge-based migration and mobility flows. We received the proof of mutual causality between human development indicator of donor-state and most significant performance indicators of EaP migration in the EU ("smart mobility". This means that HDI of a donor-state is flexible to the internal situation in the country, and so the positive effect of smart mobility and remittance inflows can be easily absorbed inside the EaP. The same we observed for gross national income of EaP donor-states. However, our approach does not provide the answer: what is exactly the effect or the result. The convergence effect of scientific migration in the EU and the Eastern Partnership region is considered on the ground of the calculative assessment. We considered "fi-convergence" approach, stating that it occurs when the EaP mobility rate grows faster than the EU ones. As for o-convergence, we defined it as a reduction of future rates of variation (inequality, differentiation in the levels of migration of regions (countries. We can conclude that there is the convergence between the EU & EaP in the scientific migration in the years of the EaP initiation, but no results in the process of its fulfilment.

  14. MeRy-B, a metabolomic database and knowledge base for exploring plant primary metabolism.

    Deborde, Catherine; Jacob, Daniel

    2014-01-01

    Plant primary metabolites are organic compounds that are common to all or most plant species and are essential for plant growth, development, and reproduction. They are intermediates and products of metabolism involved in photosynthesis and other biosynthetic processes. Primary metabolites belong to different compound families, mainly carbohydrates, organic acids, amino acids, nucleotides, fatty acids, steroids, or lipids. Until recently, unlike the Human Metabolome Database ( http://www.hmdb.ca ) dedicated to human metabolism, there was no centralized database or repository dedicated exclusively to the plant kingdom that contained information on metabolites and their concentrations in a detailed experimental context. MeRy-B is the first platform for plant (1)H-NMR metabolomic profiles (MeRy-B, http://bit.ly/meryb ), designed to provide a knowledge base of curated plant profiles and metabolites obtained by NMR, together with the corresponding experimental and analytical metadata. MeRy-B contains lists of plant metabolites, mostly primary metabolites and unknown compounds, with information about experimental conditions, the factors studied, and metabolite concentrations for 19 different plant species (Arabidopsis, broccoli, daphne, grape, maize, barrel clover, melon, Ostreococcus tauri, palm date, palm tree, peach, pine tree, eucalyptus, plantain rice, strawberry, sugar beet, tomato, vanilla), compiled from more than 2,300 annotated NMR profiles for various organs or tissues deposited by 30 different private or public contributors in September 2013. Currently, about half of the data deposited in MeRy-B is publicly available. In this chapter, readers will be shown how to (1) navigate through and retrieve data of publicly available projects on MeRy-B website; (2) visualize lists of experimentally identified metabolites and their concentrations in all plant species present in MeRy-B; (3) get primary metabolite list for a particular plant species in MeRy-B; and for a

  15. Business Process Management – A Traditional Approach Versus a Knowledge Based Approach

    Roberto Paiano

    2015-12-01

    Full Text Available The enterprise management represents a heterogeneous aggregate of both resources and assets that need to be coordinated and orchestrated in order to reach the goals related to the business mission. Influences and forces that may influence this process, and also for that they should be considered, are not concentrated in the business environment, but they are related to the entireoperational context of a company. For this reason, business processes must be the most versatile and flexible with respect to the changes that occur within the whole operational context of a company.Considering the supportive role that information systems play in favour of Business Process Management - BPM, it is also essential to implement a constant, continuous and quick mechanism for the information system alignment with respect to the evolution followed by business processes.In particular, such mechanism must intervene on BPM systems in order to keep them aligned and compliant with respect to both the context changes and the regulations. In order to facilitate this alignment mechanism, companies are already referring to the support offered by specific solutions, such as knowledge bases. In this context, a possible solution might be the approach we propose, which is based on a specific framework called Process Management System. Our methodology implements a knowledge base support for business experts, which is not limited to the BPM operating phases, but includes also the engineering and prototyping activities of the corresponding information system. This paper aims to compare and evaluate a traditional BPM approach with respect to theapproach we propose. In effect, such analysis aims to emphasize the lack of traditional methodology especially with respect to the alignment between business processes and information systems, along with their compliance with context domain and regulations.

  16. Mapping the knowledge base for maritime health: 4 safety and performance at sea.

    Carter, Tim

    2011-01-01

    There is very little recent investigative work on the contribution of health related impairment and disability to either accident risks or to reduced performance at sea, the only exception being studies on fatigue and parallel data on sleep related incidents. Incidents where health related impairment, other than fatigue, has contributed are very rarely found in reports of maritime accident investigations. This may either indicate the irrelevance of these forms of impairment to accidents or alternatively point to the effectiveness of existing control measures. The main approach to risk reduction is by the application of fitness criteria to seafarers during medical examinations. Where there is a knowledge base it is either, as in the case of vision, a very old one that relates to patterns of visual task that differ markedly from those in modern shipping or, as with hearing, is based on untested assumptions about the levels of impairment that will prevent effective communications at sea. There are practical limitations to the assessment of cognitive functions as these encompass such a wide range of impairments from those associated with fatigue, medication, or substance abuse to those relating to age or to the risks of sudden incapacitation from a pre-existing illness. Physical capability can be assessed but only in limited ways in the course of a medical examination. In the absence of clear evidence of accident risks associated with health-related impairments or disabilities it is unlikely that there will be pressure to update criteria that appear to be providing satisfactory protection. As capability is related to the tasks performed, investigations need to integrate information on ergonomic and organizational aspects with that on health and impairment. Criteria that may select seafarers with health- -related impairment need to be reviewed wherever the task demands in modern shipping have changed, in order to relax or modify them where indicated in order to reduce

  17. Advancing User Supports with a Structured How-To Knowledge Base for Earth Science Data

    Shen, Suhung; Acker, James G.; Lynnes, Christopher S.; Beaty, Tammy; Lighty, Luther; Kempler, Steven J.

    2016-01-01

    It is a challenge to access and process fast growing Earth science data from satellites and numerical models, which may be archived in very different data format and structures. NASA data centers, managed by the Earth Observing System Data and Information System (EOSDIS), have developed a rich and diverse set of data services and tools with features intended to simplify finding, downloading, and working with these data. Although most data services and tools have user guides, many users still experience difficulties with accessing or reading data due to varying levels of familiarity with data services, tools, and/or formats. A type of structured online document, data recipe, were created in beginning 2013 by Goddard Earth Science Data and Information Services Center (GES DISC). A data recipe is the How-To document created by using the fixed template, containing step-by-step instructions with screenshots and examples of accessing and working with real data. The recipes has been found to be very helpful, especially to first-time-users of particular data services, tools, or data products. Online traffic to the data recipe pages is significant to some recipes. In 2014, the NASA Earth Science Data System Working Group (ESDSWG) for data recipes was established, aimed to initiate an EOSDIS-wide campaign for leveraging the distributed knowledge within EOSDIS and its user communities regarding their respective services and tools. The ESDSWG data recipe group started with inventory and analysis of existing EOSDIS-wide online help documents, and provided recommendations and guidelines and for writing and grouping data recipes. This presentation will overview activities of creating How-To documents at GES DISC and ESDSWG. We encourage feedback and contribution from users for improving the data How-To knowledge base.

  18. Knowledge based word-concept model estimation and refinement for biomedical text mining.

    Jimeno Yepes, Antonio; Berlanga, Rafael

    2015-02-01

    Text mining of scientific literature has been essential for setting up large public biomedical databases, which are being widely used by the research community. In the biomedical domain, the existence of a large number of terminological resources and knowledge bases (KB) has enabled a myriad of machine learning methods for different text mining related tasks. Unfortunately, KBs have not been devised for text mining tasks but for human interpretation, thus performance of KB-based methods is usually lower when compared to supervised machine learning methods. The disadvantage of supervised methods though is they require labeled training data and therefore not useful for large scale biomedical text mining systems. KB-based methods do not have this limitation. In this paper, we describe a novel method to generate word-concept probabilities from a KB, which can serve as a basis for several text mining tasks. This method not only takes into account the underlying patterns within the descriptions contained in the KB but also those in texts available from large unlabeled corpora such as MEDLINE. The parameters of the model have been estimated without training data. Patterns from MEDLINE have been built using MetaMap for entity recognition and related using co-occurrences. The word-concept probabilities were evaluated on the task of word sense disambiguation (WSD). The results showed that our method obtained a higher degree of accuracy than other state-of-the-art approaches when evaluated on the MSH WSD data set. We also evaluated our method on the task of document ranking using MEDLINE citations. These results also showed an increase in performance over existing baseline retrieval approaches.

  19. Development of the Knowledge-Based Standard for the Written Certification Examination of the American Board of Anesthesiology.

    Slogoff, Stephen; And Others

    1992-01-01

    Application of a knowledge-based standard in evaluating a written certification examination developed by the American Board of Anesthesiology established a standard of 57 percent correct over two years' examinations. This process is recommended for developing mastery-based (rather than normative-based) success criteria for evaluation of medical…

  20. Malaysia's Human Resource Strategies for a Knowledge-Based Economy - Comparing the Influence of Different Labur Market Relations

    Fleming, Daniel; Søborg, Henrik

    2010-01-01

    In the last 15-20 years the Malaysian government has sought to meet the increasing international competition in the labour intensive manufacturing industry by transforming the economy to a more knowledge-based economy. Impotant levers are industrial upgrading policies and partnerships with leadin...

  1. An Analysis of the Efficiency of Sourcing Knowledge-Based Services in the United States Air Force

    2013-05-30

    strategies for delivering knowledge-based services in a borderless world: The case of management education. Journal of Services Marketing , 23(6), 371...Rozemeijer, F. (2009). Buying business services: Towards a structured service purchasing process. Journal of Services Marketing , 23(1), 3–10

  2. Applications of a Nursing Knowledge Based System for Nursing Practice: Inservice, Continuing Education, and Standards of Care

    Ryan, Sheila A.

    1983-01-01

    A knowledge base of nursing theory supports computerized consultation to nursing service administrators and staff about patient care. Three scenarios portray different nurses utilizing the system for inservice development, continuing education, and development of standards of care or protocols for practice. The advantages of the system including cost savings are discussed.

  3. Second-Language Teachers' Moral Knowledge Base: A Comparison between Experienced and Less Experienced, Male and Female Practitioners

    Akbari, Ramin; Tajik, Leila

    2012-01-01

    The second-language teacher education community has become increasingly interested in the moral dimensions of teaching. Herein ELT practitioners' "moral knowledge base", as a window into their mental lives, has not received the attention it deserves. The present study was conducted to document likely differences between the frequencies of…

  4. Enhancing Student Learning in Knowledge-Based Courses: Integrating Team-Based Learning in Mass Communication Theory Classes

    Han, Gang; Newell, Jay

    2014-01-01

    This study explores the adoption of the team-based learning (TBL) method in knowledge-based and theory-oriented journalism and mass communication (J&MC) courses. It first reviews the origin and concept of TBL, the relevant theories, and then introduces the TBL method and implementation, including procedures and assessments, employed in an…

  5. Transformative Pedagogy, Leadership and School Organisation for the Twenty-First-Century Knowledge-Based Economy: The Case of Singapore

    Dimmock, Clive; Goh, Jonathan W. P.

    2011-01-01

    Singapore has a high performing school system; its students top international tests in maths and science. Yet while the Singapore government cherishes its world class "brand", it realises that in a globally competitive world, its schools need to prepare students for the twenty-first-century knowledge-based economy (KBE). Accordingly, over the past…

  6. Integrated Database And Knowledge Base For Genomic Prospective Cohort Study In Tohoku Medical Megabank Toward Personalized Prevention And Medicine.

    Ogishima, Soichi; Takai, Takako; Shimokawa, Kazuro; Nagaie, Satoshi; Tanaka, Hiroshi; Nakaya, Jun

    2015-01-01

    The Tohoku Medical Megabank project is a national project to revitalization of the disaster area in the Tohoku region by the Great East Japan Earthquake, and have conducted large-scale prospective genome-cohort study. Along with prospective genome-cohort study, we have developed integrated database and knowledge base which will be key database for realizing personalized prevention and medicine.

  7. Dynamic Interaction: A Measurement Development and Empirical Evaluation of Knowledge Based Systems and Web 2.0 Decision Support Mashups

    Beemer, Brandon Alan

    2010-01-01

    The research presented in this dissertation focuses on the organizational and consumer need for knowledge based support in unstructured domains, by developing a measurement scale for dynamic interaction. Addressing this need is approached and evaluated from two different perspectives. The first approach is the development of Knowledge Based…

  8. Detector : knowledge-based systems for dairy farm management support and policy-analysis; methods and applications.

    Hennen, W.H.G.J.

    1995-01-01

    This thesis describes new methods and knowledge-based systems for the analysis of technical and economic accounting data from the year-end records of individual dairy farms to support the management and, after adaptation, for policy analysis.A new method for farm comparison, the farm-adjusted standa

  9. Measuring the knowledge base of an economy in terms of triple-helix relations among 'technology, organization, and territory'

    Leydesdorff, L.; Dolfsma, W.; van der Panne, G.; Viale, R.; Etzkowitz, H.

    2010-01-01

    Can the knowledge base of an economy be measured? In this study, we combine the perspective of regional economics on the interrelationships among technology, organization, and territory with the triple-helix model, and offer the mutual information in three dimensions as an indicator of the configura

  10. The Start-Up, Evolution and Impact of a Research Group in a University Developing Its Knowledge Base

    Horta, Hugo; Martins, Rui

    2014-01-01

    This article focuses on the understudied role of research groups contributing to develop the knowledge base of developing universities in regions lagging behind in human, financial and scientific resources. We analyse the evolution of a research group that, in less than 10 years, achieved worldwide recognition in the field of microelectronics,…

  11. Challenges in Mentoring Software Development Projects in the High School: Analysis According to Shulman's Teacher Knowledge Base Model

    Meerbaum-Salant, Orni; Hazzan, Orit

    2009-01-01

    This paper focuses on challenges in mentoring software development projects in the high school and analyzes difficulties encountered by Computer Science teachers in the mentoring process according to Shulman's Teacher Knowledge Base Model. The main difficulties that emerged from the data analysis belong to the following knowledge sources of…

  12. Building a knowledge base for management of a new fishery: Boarfish (Capros aper) in the Northeast Atlantic

    Stange, K.

    2016-01-01

    This paper examines recent collaborative efforts by fisheries scientists and representatives from the pelagic fishing industry in Europe to generate a knowledge base to support management of a new fishery for boarfish (Capros aper) in the Northeast Atlantic. The forms of knowledge used and produced

  13. Transformative Pedagogy, Leadership and School Organisation for the Twenty-First-Century Knowledge-Based Economy: The Case of Singapore

    Dimmock, Clive; Goh, Jonathan W. P.

    2011-01-01

    Singapore has a high performing school system; its students top international tests in maths and science. Yet while the Singapore government cherishes its world class "brand", it realises that in a globally competitive world, its schools need to prepare students for the twenty-first-century knowledge-based economy (KBE). Accordingly,…

  14. The Impact of Electronic Knowledge-Based Nursing Content and Decision-Support on Nursing-Sensitive Patient Outcomes

    2017-01-01

    Washington Headquarters Services , Directorate for Information Operations and Reports (0704-0188), 1215 Jefferson Davis Highway, Suite 1204, Arlington...36 A. Knowledge-Based Nursing – Definition and Conceptual Framework……..…… 36 B. KBN Innovation – Core Components...Nursing • Evidence-based Practice • Health Services Research • Knowledge Management • Models/theoretical/organizational • Nursing Evaluation

  15. Innovation processes of knowledge-based technologies. Example of PEM fuel cell; Innovationsprozesse wissensbasierter Technologien. Beispiel der PEM-Brennstoffzelle

    Bertram, Bjoern

    2011-07-01

    Knowledge as distinguished from increasingly crucial factor of production and forms the basis for development of knowledge-based technologies. This study analyzed the example of the PEM fuel cell technology, this innovation process, drawing upon the heuristic of the innovation system. At the same time a detailed picture of the PEM technology as part of the electric mobility is drawn. (orig.)

  16. Minimally-supervised extraction of domain-specific part-whole relations using Wikipedia as knowledge-base

    Ittoo, Ashwin; Bouma, Gosse

    2013-01-01

    We present a minimally-supervised approach for learning part whole relations from texts. Unlike previous techniques, we focused on sparse, domain-specific texts. The novelty in our approach lies in the use of Wikipedia as a knowledge-base, from which we first acquire a set of reliable patterns that

  17. FluKB: A Knowledge-Based System for Influenza Vaccine Target Discovery and Analysis of the Immunological Properties of Influenza Viruses

    Simon, Christian; Kudahl, Ulrich Johan; Sun, Jing

    2015-01-01

    FluKB is a knowledge-based system focusing on data and analytical tools for influenza vaccine discovery. The main goal of FluKB is to provide access to curated influenza sequence and epitope data and enhance the analysis of influenza sequence diversity and the analysis of targets of immune......-cell vaccine targets and assessment of neutralizing antibody coverage. FluKB supports the discovery of vaccine targets and the analysis of viral diversity and its implications for vaccine discovery as well as potential T-cell breadth and antibody cross neutralization involving multiple strains. Flu...... responses. FluKB consists of more than 400,000 influenza protein sequences, known epitope data (357 verified T-cell epitopes, 685 HLA binders, and 16 naturally processed MHC ligands), and a collection of 28 influenza antibodies and their structurally defined B-cell epitopes. FluKB was built using amodular...

  18. Strategic Plan for Nuclear Energy -- Knowledge Base for Advanced Modeling and Simulation (NE-KAMS)

    Kimberlyn C. Mousseau

    2011-10-01

    The Nuclear Energy Computational Fluid Dynamics Advanced Modeling and Simulation (NE-CAMS) system is being developed at the Idaho National Laboratory (INL) in collaboration with Bettis Laboratory, Sandia National Laboratory (SNL), Argonne National Laboratory (ANL), Utah State University (USU), and other interested parties with the objective of developing and implementing a comprehensive and readily accessible data and information management system for computational fluid dynamics (CFD) verification and validation (V&V) in support of nuclear energy systems design and safety analysis. The two key objectives of the NE-CAMS effort are to identify, collect, assess, store and maintain high resolution and high quality experimental data and related expert knowledge (metadata) for use in CFD V&V assessments specific to the nuclear energy field and to establish a working relationship with the U.S. Nuclear Regulatory Commission (NRC) to develop a CFD V&V database, including benchmark cases, that addresses and supports the associated NRC regulations and policies on the use of CFD analysis. In particular, the NE-CAMS system will support the Department of Energy Office of Nuclear Energy Advanced Modeling and Simulation (NEAMS) Program, which aims to develop and deploy advanced modeling and simulation methods and computational tools for reliable numerical simulation of nuclear reactor systems for design and safety analysis. Primary NE-CAMS Elements There are four primary elements of the NE-CAMS knowledge base designed to support computer modeling and simulation in the nuclear energy arena as listed below. Element 1. The database will contain experimental data that can be used for CFD validation that is relevant to nuclear reactor and plant processes, particularly those important to the nuclear industry and the NRC. Element 2. Qualification standards for data evaluation and classification will be incorporated and applied such that validation data sets will result in well

  19. MO-FG-303-03: Demonstration of Universal Knowledge-Based 3D Dose Prediction

    Shiraishi, S; Moore, K L [University of California, San Diego, La Jolla, CA (United States)

    2015-06-15

    Purpose: To demonstrate a knowledge-based 3D dose prediction methodology that can accurately predict achievable radiotherapy distributions. Methods: Using previously treated plans as input, an artificial neural network (ANN) was trained to predict 3D dose distributions based on 14 patient-specific anatomical parameters including the distance (r) to planning target volume (PTV) boundary, organ-at-risk (OAR) boundary distances, and angular position ( θ,φ). 23 prostate and 49 stereotactic radiosurgery (SRS) cases with ≥1 nearby OARs were studied. All were planned with volumetric-modulated arc therapy (VMAT) to prescription doses of 81Gy for prostate and 12–30Gy for SRS. Site-specific ANNs were trained using all prostate 23 plans and using a 24 randomly-selected subset for the SRS model. The remaining 25 SRS plans were used to validate the model. To quantify predictive accuracy, the dose difference between the clinical plan and prediction were calculated on a voxel-by-voxel basis δD(r,θ,φ)=Dclin(r,θ,φ)-Dpred(r, θ,φ). Grouping voxels by boundary distance, the mean <δ Dr>=(1/N)Σ -θ,φ D(r,θ,φ) and inter-quartile range (IQR) quantified the accuracy of this method for deriving DVH estimations. The standard deviation (σ) of δ D quantified the 3D dose prediction error on a voxel-by-voxel basis. Results: The ANNs were highly accurate in predictive ability for both prostate and SRS plans. For prostate, <δDr> ranged from −0.8% to +0.6% (max IQR=3.8%) over r=0–32mm, while 3D dose prediction accuracy averaged from σ=5–8% across the same range. For SRS, from r=0–34mm the training set <δDr> ranged from −3.7% to +1.5% (max IQR=4.4%) while the validation set <δDr> ranged from −2.2% to +5.8% (max IQR=5.3%). 3D dose prediction accuracy averaged σ=2.5% for the training set and σ=4.0% over the same interval. Conclusion: The study demonstrates this technique’s ability to predict achievable 3D dose distributions for VMAT SRS and prostate. Future

  20. Introducing the Forensic Research/Reference on Genetics knowledge base, FROG-kb

    2012-01-01

    Background Online tools and databases based on multi-allelic short tandem repeat polymorphisms (STRPs) are actively used in forensic teaching, research, and investigations. The Fst value of each CODIS marker tends to be low across the populations of the world and most populations typically have all the common STRP alleles present diminishing the ability of these systems to discriminate ethnicity. Recently, considerable research is being conducted on single nucleotide polymorphisms (SNPs) to be considered for human identification and description. However, online tools and databases that can be used for forensic research and investigation are limited. Methods The back end DBMS (Database Management System) for FROG-kb is Oracle version 10. The front end is implemented with specific code using technologies such as Java, Java Servlet, JSP, JQuery, and GoogleCharts. Results We present an open access web application, FROG-kb (Forensic Research/Reference on Genetics-knowledge base, http://frog.med.yale.edu), that is useful for teaching and research relevant to forensics and can serve as a tool facilitating forensic practice. The underlying data for FROG-kb are provided by the already extensively used and referenced ALlele FREquency Database, ALFRED (http://alfred.med.yale.edu). In addition to displaying data in an organized manner, computational tools that use the underlying allele frequencies with user-provided data are implemented in FROG-kb. These tools are organized by the different published SNP/marker panels available. This web tool currently has implemented general functions possible for two types of SNP panels, individual identification and ancestry inference, and a prediction function specific to a phenotype informative panel for eye color. Conclusion The current online version of FROG-kb already provides new and useful functionality. We expect FROG-kb to grow and expand in capabilities and welcome input from the forensic community in identifying datasets and

  1. Multi-Level Parsing Based Approach Against Phishing Attacks With the Help of Knowledge Bases

    Gaurav Kumar Tak

    2013-11-01

    Full Text Available The increasing use of internet all over the world,be it in households or in corporate firms, has ledto anunprecedented rise in cyber-crimes. Amongst these the major chunk consists of Internet attacks which arethe most popular and common attacks are carried over the internet. Generally phishing attacks, SSLattacks and some other hacking attacks are kept into this category. Security against these attacks isthemajor issue of internet security in today’s scenario where internet has very deep penetration. Internet hasno doubt made our lives very convenient. It has provided many facilities to us at penny’s cost. For instanceit has made communication lightning fast and that too at a very cheap cost. But internet can pose addedthreats for those users who are not well versed inthe ways of internet and unaware of the security risksattached with it. Phishing Attacks, Nigerian Scam,Spam attacks, SSL attacks and other hacking attacksaresome of the most common and recent attacks to compromise the privacy of the internet users. Many a timesif the user isn’t careful, then these attacks are able to steal the confidential information of user (orunauthorized access. Generally these attacks are carried out with the help of social networking sites,popular mail server sites, online chatting sites etc. Nowadays, Facebook.com, gmail.com, orkut.com andmany other social networking sites are facing thesesecurity attack problems.This paper discusses a Knowledge Base Compound approach which is based on query operations andparsing techniques to counter these internet attacks using the web browser itself. In this approach wepropose to analyze the web URLs before visiting theactual site, so as to provide security against webattacks mentioned above. This approach employs various parsing operations and query processing whichuse many techniques to detect the phishing attacksas well as other web attacks. The aforementionedapproach is completely based on operation through the

  2. KNOWLEDGE BASE COMPOUND APPROACH AGAINST PHISHING ATTACKS USING SOME PARSING TECHNIQUES

    Gaurav Kumar Tak

    2013-02-01

    Full Text Available The increasing use of internet all over the world, be it in households or in corporate firms, has led to an unprecedented rise in cyber-crimes. Amongst these the major chunk consists of Internet attacks which are the most popular and common attacks are carried over the internet. Generally phishing attacks, SSL attacks and some other hacking attacks are kept into this category. Security against these attacks is the major issue of internet security in today’s scenario where internet has very deep penetration. Internet has no doubt made our lives very convenient. It has provided many facilities to us at penny’s cost. For instance it has made communication lightning fast and that too at a very cheap cost. But internet can pose added threats for those users who are not well versed in the ways of internet and unaware of the security risks attached with it. Phishing Attacks, Nigerian Scam, Spam attacks, SSL attacks and other hacking attacks are some of the most common and recent attacks to compromise the privacy of the internet users. This paper discusses a Knowledge Base Compound approach which is based on query operations and parsing techniques to counter these internet attacks using the web browser itself. In this approach we propose to analyze the web URLs before visiting the actual site, so as to provide security against web attacks mentioned above. This approach employs various parsing operations and query processing which use many techniques to detect the phishing attacks as well as other web attacks. The aforementioned approach is completely based on operation through the browser and hence only affects the speed of browsing. This approach also includes Crawling operation to detect the URL details to further enhance the precision of detection of a compromised site. Using the proposed methodology, a new browser can easily detects the phishing attacks, SSL attacks, and other hacking attacks. With the use of this browser approach, we can easily

  3. Introducing the Forensic Research/Reference on Genetics knowledge base, FROG-kb

    Rajeevan Haseena

    2012-09-01

    Full Text Available Abstract Background Online tools and databases based on multi-allelic short tandem repeat polymorphisms (STRPs are actively used in forensic teaching, research, and investigations. The Fst value of each CODIS marker tends to be low across the populations of the world and most populations typically have all the common STRP alleles present diminishing the ability of these systems to discriminate ethnicity. Recently, considerable research is being conducted on single nucleotide polymorphisms (SNPs to be considered for human identification and description. However, online tools and databases that can be used for forensic research and investigation are limited. Methods The back end DBMS (Database Management System for FROG-kb is Oracle version 10. The front end is implemented with specific code using technologies such as Java, Java Servlet, JSP, JQuery, and GoogleCharts. Results We present an open access web application, FROG-kb (Forensic Research/Reference on Genetics-knowledge base, http://frog.med.yale.edu, that is useful for teaching and research relevant to forensics and can serve as a tool facilitating forensic practice. The underlying data for FROG-kb are provided by the already extensively used and referenced ALlele FREquency Database, ALFRED (http://alfred.med.yale.edu. In addition to displaying data in an organized manner, computational tools that use the underlying allele frequencies with user-provided data are implemented in FROG-kb. These tools are organized by the different published SNP/marker panels available. This web tool currently has implemented general functions possible for two types of SNP panels, individual identification and ancestry inference, and a prediction function specific to a phenotype informative panel for eye color. Conclusion The current online version of FROG-kb already provides new and useful functionality. We expect FROG-kb to grow and expand in capabilities and welcome input from the forensic community in

  4. Data Recipes: Toward Creating How-To Knowledge Base for Earth Science Data

    Shen, Suhung; Lynnes, Chris; Acker, James G.; Beaty, Tammy

    2015-01-01

    overview of the data recipe activites at GES DISC and ESDSWG. We are seeking requirements and input from a broader data user community to establish a strong knowledge base for Earth science data research and application implementations.

  5. TH-A-9A-08: Knowledge-Based Quality Control of Clinical Stereotactic Radiosurgery Treatment Plans

    Shiraishi, S; Moore, K L [University of California, San Diego, La Jolla, CA (United States); Tan, J; Olsen, L [Washington University in St. Louis, St. Louis, MO (United States)

    2014-06-15

    Purpose: To develop a quality control tool to reduce stereotactic radiosurgery (SRS) planning variability using models that predict achievable plan quality metrics (QMs) based on individual patient anatomy. Methods: Using a knowledge-based methodology that quantitatively correlates anatomical geometric features to resultant organ-at-risk (OAR) dosimetry, we developed models for predicting achievable OAR dose-volume histograms (DVHs) by training with a cohort of previously treated SRS patients. The DVH-based QMs used in this work are the gradient measure, GM=(3/4pi)^1/3*[V50%^1/3−V100%^1/3], and V10Gy of normal brain. As GM quantifies the total rate of dose fall-off around the planning target volume (PTV), all voxels inside the patient's body contour were treated as OAR for DVH prediction. 35 previously treated SRS plans from our institution were collected; all were planned with non-coplanar volumetric-modulated arc therapy to prescription doses of 12–25 Gy. Of the 35-patient cohort, 15 were used for model training and 20 for model validation. Accuracies of the predictions were quantified by the mean and the standard deviation of the difference between clinical and predicted QMs, δQM=QM-clin−QM-pred. Results: Best agreement between predicted and clinical QMs was obtained when models were built separately for V-PTV<2.5cc and V-PTV>2.5cc. Eight patients trained the V-PTV<2.5cc model and seven patients trained the V-PTV>2.5cc models, respectively. The mean and the standard deviation of δGM were 0.3±0.4mm for the training sets and −0.1±0.6mm for the validation sets, demonstrating highly accurate GM predictions. V10Gy predictions were also highly accurate, with δV10Gy=0.8±0.7cc for the training sets and δV10Gy=0.7±1.4cc for the validation sets. Conclusion: The accuracy of the models in predicting two key SRS quality metrics highlights the potential of this technique for quality control for SRS treatments. Future investigations will seek to determine

  6. A survey of Existing V&V, UQ and M&S Data and Knowledge Bases in Support of the Nuclear Energy - Knowledge base for Advanced Modeling and Simulation (NE-KAMS)

    Hyung Lee; Rich Johnson, Ph.D.; Kimberlyn C. Moussesau

    2011-12-01

    The Nuclear Energy - Knowledge base for Advanced Modeling and Simulation (NE-KAMS) is being developed at the Idaho National Laboratory in conjunction with Bettis Laboratory, Sandia National Laboratories, Argonne National Laboratory, Oak Ridge National Laboratory, Utah State University and others. The objective of this consortium is to establish a comprehensive knowledge base to provide Verification and Validation (V&V) and Uncertainty Quantification (UQ) and other resources for advanced modeling and simulation (M&S) in nuclear reactor design and analysis. NE-KAMS will become a valuable resource for the nuclear industry, the national laboratories, the U.S. NRC and the public to help ensure the safe operation of existing and future nuclear reactors. A survey and evaluation of the state-of-the-art of existing V&V and M&S databases, including the Department of Energy and commercial databases, has been performed to ensure that the NE-KAMS effort will not be duplicating existing resources and capabilities and to assess the scope of the effort required to develop and implement NE-KAMS. The survey and evaluation have indeed highlighted the unique set of value-added functionality and services that NE-KAMS will provide to its users. Additionally, the survey has helped develop a better understanding of the architecture and functionality of these data and knowledge bases that can be used to leverage the development of NE-KAMS.

  7. Intelligent personal navigator supported by knowledge-based systems for estimating dead reckoning navigation parameters

    Moafipoor, Shahram

    Personal navigators (PN) have been studied for about a decade in different fields and applications, such as safety and rescue operations, security and emergency services, and police and military applications. The common goal of all these applications is to provide precise and reliable position, velocity, and heading information of each individual in various environments. In the PN system developed in this dissertation, the underlying assumption is that the system does not require pre-existing infrastructure to enable pedestrian navigation. To facilitate this capability, a multisensor system concept, based on the Global Positioning System (GPS), inertial navigation, barometer, magnetometer, and a human pedometry model has been developed. An important aspect of this design is to use the human body as navigation sensor to facilitate Dead Reckoning (DR) navigation in GPS-challenged environments. The system is designed predominantly for outdoor environments, where occasional loss of GPS lock may happen; however, testing and performance demonstration have been extended to indoor environments. DR navigation is based on a relative-measurement approach, with the key idea of integrating the incremental motion information in the form of step direction (SD) and step length (SL) over time. The foundation of the intelligent navigation system concept proposed here rests in exploiting the human locomotion pattern, as well as change of locomotion in varying environments. In this context, the term intelligent navigation represents the transition from the conventional point-to-point DR to dynamic navigation using the knowledge about the mechanism of the moving person. This approach increasingly relies on integrating knowledge-based systems (KBS) and artificial intelligence (AI) methodologies, including artificial neural networks (ANN) and fuzzy logic (FL). In addition, a general framework of the quality control for the real-time validation of the DR processing is proposed, based on a

  8. THE EU TAX TREATMENT COMPETITION FOR KNOWLEDGE BASED CAPITAL – THE SPECIAL CASE OF R&D

    Cozmei Cătălina

    2015-05-01

    Full Text Available Globalization spurs the diffusion of knowledge and encourages firms to incorporate investments in innovation in their portfolios because knowledge based capital (research & development, intellectual property, organisational capital, skills etc. is a key d river for competitiveness on all levels. This article aims to emphasize the differences in the R&D tax policy mix as a proxy for the knowledge based capital and analyse some R&D indicators for a number of 20 EU member states in order to sort and classify those countries in terms of R&D tax policy effectiveness. The results show that a higher corporate tax level even if is offset by a high tax subsidy does not lead to a high level business enterprise expenditure on R&D as a percentage of value added in industry. Moreover this paper highlights the need for designing a tax policy that promotesinnovation and gauges the loopholes of the tax system that activate profit shifting strategies.

  9. Knowledge base technology for CT-DIMS: Report 1. [CT-DIMS (Cutting Tool - Database and Information Management System)

    Kelley, E.E.

    1993-05-01

    This report discusses progress on the Cutting Tool-Database and Information Management System (CT-DIMS) project being conducted by the University of Illinois Urbana-Champaign (UIUC) under contract to the Department of Energy. This project was initiated in October 1991 by UIUC. The Knowledge-Based Engineering Systems Research Laboratory (KBESRL) at UIUC is developing knowledge base technology and prototype software for the presentation and manipulation of the cutting tool databases at Allied-Signal Inc., Kansas City Division (KCD). The graphical tool selection capability being developed for CT-DIMS in the Intelligent Design Environment for Engineering Automation (IDEEA) will provide a concurrent environment for simultaneous access to tool databases, tool standard libraries, and cutting tool knowledge.

  10. Integrating a modern knowledge-based system architecture with a legacy VA database: the ATHENA and EON projects at Stanford.

    Advani, A; Tu, S; O'Connor, M; Coleman, R; Goldstein, M K; Musen, M

    1999-01-01

    We present a methodology and database mediator tool for integrating modern knowledge-based systems, such as the Stanford EON architecture for automated guideline-based decision-support, with legacy databases, such as the Veterans Health Information Systems & Technology Architecture (VISTA) systems, which are used nation-wide. Specifically, we discuss designs for database integration in ATHENA, a system for hypertension care based on EON, at the VA Palo Alto Health Care System. We describe a new database mediator that affords the EON system both physical and logical data independence from the legacy VA database. We found that to achieve our design goals, the mediator requires two separate mapping levels and must itself involve a knowledge-based component.

  11. Engineering and technology talent for innovation and knowledge-based economies competencies, leadership, and a roadmap for implementation

    Abdulwahed, Mahmoud

    2017-01-01

    This book introduces and analyzes the models for engineering leadership and competency skills, as well as frameworks for industry-academia collaboration and is appropriate for students, researchers, and professionals interested in continuous professional development. The authors look at the organizational structures of engineering education in knowledge-based economies and examine the role of innovation and how it is encouraged in schools. It also provides a methodological framework and toolkit for investigating the needs of engineering and technology skills in national contexts. A detailed empirical case study is included that examines the leadership competencies that are needed in knowledge-based economies and how one university encourages these in their program. The book concludes with conceptual modeling and proposals of specific organizational structures for implementation in engineering schools, in order to enable the development of necessary skills for future engineering graduates.

  12. Knowledge-based personalized search engine for the Web-based Human Musculoskeletal System Resources (HMSR) in biomechanics.

    Dao, Tien Tuan; Hoang, Tuan Nha; Ta, Xuan Hien; Tho, Marie Christine Ho Ba

    2013-02-01

    Human musculoskeletal system resources of the human body are valuable for the learning and medical purposes. Internet-based information from conventional search engines such as Google or Yahoo cannot response to the need of useful, accurate, reliable and good-quality human musculoskeletal resources related to medical processes, pathological knowledge and practical expertise. In this present work, an advanced knowledge-based personalized search engine was developed. Our search engine was based on a client-server multi-layer multi-agent architecture and the principle of semantic web services to acquire dynamically accurate and reliable HMSR information by a semantic processing and visualization approach. A security-enhanced mechanism was applied to protect the medical information. A multi-agent crawler was implemented to develop a content-based database of HMSR information. A new semantic-based PageRank score with related mathematical formulas were also defined and implemented. As the results, semantic web service descriptions were presented in OWL, WSDL and OWL-S formats. Operational scenarios with related web-based interfaces for personal computers and mobile devices were presented and analyzed. Functional comparison between our knowledge-based search engine, a conventional search engine and a semantic search engine showed the originality and the robustness of our knowledge-based personalized search engine. In fact, our knowledge-based personalized search engine allows different users such as orthopedic patient and experts or healthcare system managers or medical students to access remotely into useful, accurate, reliable and good-quality HMSR information for their learning and medical purposes.

  13. Human Services for Low-Income and At-Risk LGBT Populations: The Knowledge Base and Research Needs (Brief)

    Andrew Burwick; Gary Gates; Scott Baumgartner; Daniel Friend

    2014-01-01

    This brief summarizes the current knowledge base and identifies key areas for future research related to human services for lesbian, gay, bisexual, and transgender (LGBT) populations. It focuses on three types of services funded by the Administration for Children and Families in the U.S. Department of Health and Human Services: (1) income support and self-sufficiency programs; (2) child welfare programs; and (3) programs for youth, especially services for runaway and homeless youth and sexual...

  14. An intelligent knowledge-based and customizable home care system framework with ubiquitous patient monitoring and alerting techniques.

    Chen, Yen-Lin; Chiang, Hsin-Han; Yu, Chao-Wei; Chiang, Chuan-Yen; Liu, Chuan-Ming; Wang, Jenq-Haur

    2012-01-01

    This study develops and integrates an efficient knowledge-based system and a component-based framework to design an intelligent and flexible home health care system. The proposed knowledge-based system integrates an efficient rule-based reasoning model and flexible knowledge rules for determining efficiently and rapidly the necessary physiological and medication treatment procedures based on software modules, video camera sensors, communication devices, and physiological sensor information. This knowledge-based system offers high flexibility for improving and extending the system further to meet the monitoring demands of new patient and caregiver health care by updating the knowledge rules in the inference mechanism. All of the proposed functional components in this study are reusable, configurable, and extensible for system developers. Based on the experimental results, the proposed intelligent homecare system demonstrates that it can accomplish the extensible, customizable, and configurable demands of the ubiquitous healthcare systems to meet the different demands of patients and caregivers under various rehabilitation and nursing conditions.

  15. Knowledge Base for an Intelligent System in order to Identify Security Requirements for Government Agencies Software Projects

    Adán Beltrán G.

    2016-01-01

    Full Text Available It has been evidenced that one of the most common causes in the failure of software security is the lack of identification and specification of requirements for information security, it is an activity with an insufficient importance in the software development or software acquisition We propose the knowledge base of CIBERREQ. CIBERREQ is an intelligent knowledge-based system used for the identification and specification of security requirements in the software development cycle or in the software acquisition. CIBERREQ receives functional software requirements written in natural language and produces non-functional security requirements through a semi-automatic process of risk management. The knowledge base built is formed by an ontology developed collaboratively by experts in information security. In this process has been identified six types of assets: electronic data, physical data, hardware, software, person and service; as well as six types of risk: competitive disadvantage, loss of credibility, economic risks, strategic risks, operational risks and legal sanctions. In addition there are defined 95 vulnerabilities, 24 threats, 230 controls, and 515 associations between concepts. Additionally, automatic expansion was used with Wikipedia for the asset types Software and Hardware, obtaining 7125 and 5894 software and hardware subtypes respectively, achieving thereby an improvement of 10% in the identification of the information assets candidates, one of the most important phases of the proposed system.

  16. An Evaluation of a Knowledge Base of Words and Thesauruses on Measuring the Semantic Similarity between Words

    Kawashima, Takahiro; Ishikawa, Tsutomu

    We have developed a knowledge base of words as a tool to measure the semantic similarity between words. In this paper, we evaluate the knowledge base of words comparing with thesauruses, which are commonly used for measuring similarity. Thesauruses of NIHONGO-GOI-TAIKEI(NGT) and Japan Electronic Dictionary(EDR) are selected for the evaluation. For similarity calculation methods using thesauruses, we adopt a newly proposed method, in which each word is represented with vector using the structural feature of thesauruses and the degree of similarity between words is calculated by the inner product of their vectors, in addition to traditional methods based on the path length between categories or the depth of the subsumer. Evaluation is carried out through the two methods, that is, a traditional method based on human rating and the method we have already proposed, feasible for evaluating automatically without human judgment. Evaluation result shows that the knowledge base of word is superior to the both thesauruses(NGT outperforming EDR) as measurement tools, and the proposed calculation method outperforms the traditional ones. The result also shows that our evaluation method is a practical one, by investigating the correlation of both methods.

  17. Strategic HRM in Building Micro-Foundations of Organizational Knowledge-Based Performance

    Minbaeva, Dana

    2013-01-01

    Strategic HRM research has a strong potential to further our understanding of how organizational knowledge processes influence performance at various analytical levels. Drawing on ability–motivation–opportunity research and linking it to knowledge sharing behaviors, we discuss the micro-foundatio......Strategic HRM research has a strong potential to further our understanding of how organizational knowledge processes influence performance at various analytical levels. Drawing on ability–motivation–opportunity research and linking it to knowledge sharing behaviors, we discuss the micro...

  18. A Capstone Wiki Knowledge Base: A Case Study of an Online Tool Designed to Promote Life-Long Learning through Engineering Literature Research

    Clarke, James B.; Coyle, James R.

    2011-01-01

    This article reports the results of a case study in which an experimental wiki knowledge base was designed, developed, and tested by the Brill Science Library at Miami University for an undergraduate engineering senior capstone project. The wiki knowledge base was created to determine if the science library could enhance the engineering literature…

  19. The emergence of new technology-based industries: the case of fuel cells and its technological relatedness to regional knowledge bases

    Tanner, Anne Nygaard

    2016-01-01

    to emerging radical technologies that create the foundation for new industries. The article develops a new measure for technological relatedness between the knowledge base of a region and that of a radical technology based on patent classes. It demonstrates that emerging fuel cell technology develops where...... the regional knowledge base is technologically related to that of fuel cells and consequently confirms the evolutionary thesis....

  20. Evaluating Social and National Education Textbooks Based on the Criteria of Knowledge-Based Economy from the Perspectives of Elementary Teachers in Jordan

    Al-Edwan, Zaid Suleiman; Hamaidi, Diala Abdul Hadi

    2011-01-01

    Knowledge-based economy is a new implemented trend in the field of education in Jordan. The ministry of education in Jordan attempts to implement this trend's philosophy in its textbooks. This study examined the extent to which the (1st-3rd grade) social and national textbooks reflect knowledge-based economy criteria from the perspective of…

  1. Anatomy of Knowledge Bases used in Design Science Research - A Literature Review : 7. International Conference on Design Science Research in Information Systems and Technology (DESRIST 2012)

    Gass, Oliver; Koppenhagen, Norbert; Biegel, Harald; Mädche, Alexander; Mueller, Benjamin

    2012-01-01

    Several papers have addressed the theory foundation of DSR. While researchers usually emphasize that the existence of such a knowledge base (KB) is essential for high quality design science research (DSR), opinions depart what kind of knowledge comprises such a knowledge base and which qualitative r

  2. Teachers in Digital Knowledge-Based Society: New Roles and Vision.

    Kim, Chong Yang

    2002-01-01

    Proposes a vision of future education influenced by the uniqueness of Asian culture, the building of an Asia-Pacific network of teachers, and ways to effectively utilize the potential of digital society, all from the basis of Asian culture and tradition. (Contains five references.) (AUTHOR)

  3. Study of Clinical Decision Support Knowledge Base%临床决策支持知识库研究

    徐金耀

    2011-01-01

    Objective To explore clinical decision support knowledge base model that is suitable to practical use by utilizing knowledge management idea and method, which is used to enhance hospital core competency. Methods Collecting domestic and foreign medical informatics related information, to study and analyze the framework of clinical decision support knowledge base with artificial intelligence. Results The key to implement hospital knowledge management is to establish machine-learning and dynamic clinical decision support knowledge base, which is not only connected with HIS to collect traditional medical knowledge , but also needs establishing standard medical knowledge collecting engine and tacit medical knowledge translation model; in addition, intelligentized tools are embedded in the knowledge base, which make it hold machine learning function and intelligentized clinical decision support capacity with dynamic and updated medical knowledge. Conclusion The process to establish hospital knowledge base, in fact, is to create hospital value.The development of intelligentized clinical decision support knowledge base is not only related to medical knowledge collection and processing,but also dealt with medical knowledge expression, artificial intelligence technique embedding and application of rules, terms and classifications, which needs further study.%目的 运用知识管理的理念和方法,探讨切合实际应用的临床决策支持知识库概念模型,使医院能够通过知识管理提升其核心竞争力.方法收集国内外相关资料,系统化研究及分析具有人工智能的临床决策支持知识库的框架.结果实施医院知识管理的关键就是必须建立一个动态的,并具有自我学习能力的临床决策支持知识库,该知识库不仅需要通过医院信息系统收集传统的医学知识,而且需要建立用于临床指南等的标准医学知识收集的引擎和隐性知识转化模型,并嵌入智能化工具,通过

  4. PARTICULARITIES OF CAREER IMPROVEMENT IN A KNOWLEDGE-BASED ECONOMY AND INVESTMENT PROGRAMS FOR LIFELONG LEARNING

    Oana - Maria LUNGU

    2011-01-01

    The concept of career planning comes nowadays along with the lifelong learning concept, which means investing in people’s potential and knowledge, supporting innovation and acquiring as many quality knowledge as possible by attending educational and learning programs. The most important investments that are made are in the human resources and the biggest profits come from the human capital and the experienced employees. Also, a great asset for the success companies are the persons who find th...

  5. Reviewing the environmental and human health knowledge base of carbon nanotubes

    2008-01-01

    Carbon nanotubes (CNTs) are considered one of the most promising materials in nanotechnology, with attractive properties for many technologic applications. The different synthesis, purification, and postprocessing methods produce CNTs with different physical characteristics, which can be applied in different fields ranging from composite materials, medical applications, and electronics to energy storage. The widespread projected use of CNTs makes it important to understand their potential har...

  6. Heuristic knowledge-based heliostat field control for the optimization of the temperature distribution in a volumetric receiver

    Garcia-Martin, F.J.; Camacho, E.F. [Universidad de Sevilla (Spain). Escuela Superior de Ingenieros; Berenguel, M. [Universidad de Almeria (Spain). Dpto. de Lenguajes y Computacion; Valverde, A. [Plataforma Solar de Almeria (Spain)

    1999-08-01

    The paper presents the development and implementation of a heuristic knowledge-based heliostat control strategy optimizing the temperature distribution within a volumetric receiver at the Plataforma Solar de Almeria (PSA) power tower plant. The experience in operating the plant has been used in the development of an automatic control strategy that provides an appropriate flux distribution within the volumetric receiver in order to obtain a desired temperature profile, and allows for operation without a continuous intervention of the operator, which is one of the main characteristics,and drawbacks in the exploitation of these kinds of plants. Experimental results are included and discussed in the paper. (author)

  7. Knowledge-based Economy, an Appropriate Response to Organizational Change Pressures, with a View to Sustainable Development

    Cristina Mihaela Lazar

    2012-06-01

    Full Text Available The sustainable development of organizations within knowledge-based economy, in which knowledge represents the main priority, should focus on finding solutions for the intelligent management of the limited resources, especially through organizational change and its constant assessment as a long-term impact solution. The transition of organizations to the principles of knowledge-based economy involves a major change in organizational culture. The dynamism and complexity of the new type of society, which implies a higher and more diverse level of training, together with a continuous superior training of the workforce, increasing investment in research and development and, not least, a growing volume and a diversification of information, all these represent, chained together, an element of well-being for the future generations. The introductory section summarizes the concept of sustainability and places the development of companies and economies they aggregate, in a contemporary context of organizational change pressures, on the principles of the knowledge-based economy as the only resource, virtually inexhaustible in the long-term, and which leads to a sustainable development. There follows a methodological section, consisting in the instrumental description of the method of work and in reference to the database, thus providing the theoretical and practical foundation for the confrontation between the sustainable development index (SDI in Romania and in the European Union (EU. The results and discussion section of the paper includes a confrontation between the sustainable development of Romania and that of the European Union, drawing on the SDI for each case. This statistical tool was calculated starting from the values of several statistical indicators (available in EUROSTAT statistics, issued from four information subsystems (an economic one, a social one and an environment one as major subsystems of sustainable development, to which was added

  8. An Architecture for Performance Optimization in a Collaborative Knowledge-Based Approach for  Wireless Sensor Networks

    Juan Ramon Velasco

    2011-09-01

    Full Text Available Over the past few years, Intelligent Spaces (ISs have received the attention of many Wireless Sensor Network researchers. Recently, several studies have been devoted to identify their common capacities and to set up ISs over these networks. However, little attention has been paid to integrating Fuzzy Rule-Based Systems into collaborative Wireless Sensor Networks for the purpose of implementing ISs. This work presents a distributed architecture proposal for collaborative Fuzzy Rule-Based Systems embedded in Wireless Sensor Networks, which has been designed to optimize the implementation of ISs. This architecture includes the following: (a an optimized design for the inference engine; (b a visual interface; (c a module to reduce the redundancy and complexity of the knowledge bases; (d a module to evaluate the accuracy of the new knowledge base; (e a module to adapt the format of the rules to the structure used by the inference engine; and (f a communications protocol. As a real-world application of this architecture and the proposed methodologies, we show an application to the problem of modeling two plagues of the olive tree: prays (olive moth, Prays oleae Bern. and repilo (caused by the fungus Spilocaea oleagina. The results show that the architecture presented in this paper significantly decreases the consumption of resources (memory, CPU and battery without a substantial decrease in the accuracy of the inferred values.

  9. Detection of cyst using image segmentation and building knowledge-based intelligent decision support system as an aid to telemedicine

    Janet, J.; Natesan, T. R.; Santhosh, Ramamurthy; Ibramsha, Mohideen

    2005-02-01

    An intelligent decision support tool to the Radiologist in telemedicine is described. Medical prescriptions are given based on the images of cyst that has been transmitted over computer networks to the remote medical center. The digital image, acquired by sonography, is converted into an intensity image. This image is then subjected to image preprocessing which involves correction methods to eliminate specific artifacts. The image is resized into a 256 x 256 matrix by using bilinear interpolation method. The background area is detected using distinct block operation. The area of the cyst is calculated by removing the background area from the original image. Boundary enhancement and morphological operations are done to remove unrelated pixels. This gives us the cyst volume. This segmented image of the cyst is sent to the remote medical center for analysis by Knowledge based artificial Intelligent Decision Support System (KIDSS). The type of cyst is detected and reported to the control mechanism of KIDSS. Then the inference engine compares this with the knowledge base and gives appropriate medical prescriptions or treatment recommendations by applying reasoning mechanisms at the remote medical center.

  10. Personal profile of medical students selected through a knowledge-based exam only: are we missing suitable students?

    Milena Abbiati

    2016-04-01

    Full Text Available Introduction: A consistent body of literature highlights the importance of a broader approach to select medical school candidates both assessing cognitive capacity and individual characteristics. However, selection in a great number of medical schools worldwide is still based on knowledge exams, a procedure that might neglect students with needed personal characteristics for future medical practice. We investigated whether the personal profile of students selected through a knowledge-based exam differed from those not selected. Methods: Students applying for medical school (N=311 completed questionnaires assessing motivations for becoming a doctor, learning approaches, personality traits, empathy, and coping styles. Selection was based on the results of MCQ tests. Principal component analysis was used to draw a profile of the students. Differences between selected and non-selected students were examined by Multivariate ANOVAs, and their impact on selection by logistic regression analysis. Results: Students demonstrating a profile of diligence with higher conscientiousness, deep learning approach, and task-focused coping were more frequently selected (p=0.01. Other personal characteristics such as motivation, sociability, and empathy did not significantly differ, comparing selected and non-selected students. Conclusion: Selection through a knowledge-based exam privileged diligent students. It did neither advantage nor preclude candidates with a more humane profile.

  11. Knowledge-Based Approach to Assembly Sequence Planning for Wind-Driven Generator

    Meiping Wu

    2013-01-01

    Full Text Available Assembly sequence planning plays an essential role in the manufacturing industry. However, there still exist some challenges for the research of assembly planning, one of which is the weakness in effective description of assembly knowledge and information. In order to reduce the computational task, this paper presents a novel approach based on engineering assembly knowledge to the assembly sequence planning problem and provides an appropriate way to express both geometric information and nongeometric knowledge. In order to increase the sequence planning efficiency, the assembly connection graph is built according to the knowledge in engineering, design, and manufacturing fields. Product semantic information model could offer much useful information for the designer to finish the assembly (process design and make the right decision in that process. Therefore, complex and low-efficient computation in the assembly design process could be avoided. Finally, a product assembly planning example is presented to illustrate the effectiveness of the proposed approach. Initial experience with the approach indicates the potential to reduce lead times and thereby can help in completing new product launch projects on time.

  12. The Bio-Economy Concept and Knowledge Base in a Public Goods and Farmer Perspective

    Otto Schmidt

    2012-05-01

    Full Text Available Currently an industrial perspective dominates the EU policy framework for a European bio-economy. The Commission’s proposal on the bio-economy emphasises greater resource-efficiency, largely within an industrial perspective on global economic competitiveness, benefiting capital-intensive industries at higher levels of the value chain. However a responsible bio-economy must initially address the sustainable use of resources. Many farmers are not only commodity producers but also providers of quality food and managers of the eco-system. A public goods-oriented bio-economy emphasises agro-ecological methods, organic and low (external input farming systems, ecosystem services, social innovation in multi-stakeholder collective practices and joint production of knowledge. The potential of farmers and SMEs to contribute to innovation must be fully recognised. This approach recognises the importance of local knowledge enhancing local capabilities, while also accommodating diversity and complexity. Therefore the bio-economy concept should have a much broader scope than the dominant one in European Commission innovation policy. Socio-economic research is needed to inform strategies, pathways and stakeholder cooperation towards sustainability goals.

  13. Knowledge-Based Estimation of Edible Fern Harvesting Sites in Mountainous Communities of Northeastern Japan

    Toshiya Matsuura

    2013-12-01

    Full Text Available Once local expert knowledge regarding the harvesting of various non-timber forest products (NTFPs is lost, it is difficult to recover. We investigated whether the knowledge of expert forest harvesters can be used to determine the habitat distribution and harvesting sites of three popular edible wild ferns, i.e., ostrich fern (Matteuccia struthiopteris, bracken (Pteridium aquilinum, and royal fern (Osmunda japonica, in mountainous communities of western Fukushima, Japan. Using multi-criteria evaluation (MCE based on the analytic hierarchy process (AHP and geographic information system (GIS, we found that harvesters were easily able to recognize differences in the spatial characteristics of the habitat distribution of fern species due to both natural and anthropogenic factors. These factors were described by various GIS layers, such as vegetation and terrain features (e.g., gradient, aspect, and slope position derived from a 20-m digital elevation model (DEM. Harvesting sites were limited by their distance from a roadway, which differed among species. By comparison with the GPS records of actual harvesting sites, we estimated the potential harvesting sites of each fern species with reasonable accuracy, particularly for bracken. Our results show that the knowledge of expert forest harvesters can be quantified using MCE and GIS, which is useful for determining the spatial characteristics of NTFP harvesting and ensuring sustainable management practices.

  14. Reviewing the environmental and human health knowledge base of carbon nanotubes.

    Helland, Aasgeir; Wick, Peter; Koehler, Andreas; Schmid, Kaspar; Som, Claudia

    2007-08-01

    Carbon nanotubes (CNTs) are considered one of the most promising materials in nanotechnology, with attractive properties for many technologic applications. The different synthesis, purification, and postprocessing methods produce CNTs with different physical characteristics, which can be applied in different fields ranging from composite materials, medical applications, and electronics to energy storage. The widespread projected use of CNTs makes it important to understand their potential harmful effects. In this environmental health review we observed a remarkable range of results of some of the toxicology studies. The comparability should be improved by further standardization and introduction of reference materials. However, at present the findings of this review suggest several key points: a) there are different types of CNTs, and therefore they cannot be considered a uniform group of substances; and b) in environmental compartments, CNTs can be bioavailable to organisms. The properties of CNTs suggest a possible accumulation along the food chain and high persistence. In organisms the absorption, distribution, metabolism, excretion, and toxicity of CNTs depend on the inherent physical and chemical characteristics such as CNT functionalization, coating, length, and agglomeration state that are influenced by the external environmental conditions during CNT production, use, and disposal stages. Characterized exposure scenarios could therefore be useful when conducting toxicologic studies. However, CNTs produce a toxic response upon reaching the lungs in sufficient quantity; this reaction is produced in a time-and dose-dependent manner. The identification of possible risks to human health and environment is a prerequisite for a successful introduction of CNTs in future applications.

  15. The Knowledge Base for Achieving the Sustainable Development Goal Targets on Water Supply, Sanitation and Hygiene

    Guy Hutton

    2016-05-01

    Full Text Available Safe drinking water, sanitation, and hygiene (WASH are fundamental to an improved standard of living. Globally, 91% of households used improved drinking water sources in 2015, while for improved sanitation it is 68%. Wealth disparities are stark, with rural populations, slum dwellers and marginalized groups lagging significantly behind. Service coverage is significantly lower when considering the new water and sanitation targets under the sustainable development goals (SDGs which aspire to a higher standard of ‘safely managed’ water and sanitation. Lack of access to WASH can have an economic impact as much as 7% of Gross Domestic Product, not including the social and environmental consequences. Research points to significant health and socio-economic consequences of poor nutritional status, child growth and school performance caused by inadequate WASH. Groundwater over-extraction and pollution of surface water bodies have serious impacts on water resource availability and biodiversity, while climate change exacerbates the health risks of water insecurity. A significant literature documents the beneficial impacts of WASH interventions, and a growing number of impact evaluation studies assess how interventions are optimally financed, implemented and sustained. Many innovations in behavior change and service delivery offer potential for scaling up services to meet the SDGs.

  16. The Knowledge Base for Achieving the Sustainable Development Goal Targets on Water Supply, Sanitation and Hygiene.

    Hutton, Guy; Chase, Claire

    2016-05-27

    Safe drinking water, sanitation, and hygiene (WASH) are fundamental to an improved standard of living. Globally, 91% of households used improved drinking water sources in 2015, while for improved sanitation it is 68%. Wealth disparities are stark, with rural populations, slum dwellers and marginalized groups lagging significantly behind. Service coverage is significantly lower when considering the new water and sanitation targets under the sustainable development goals (SDGs) which aspire to a higher standard of 'safely managed' water and sanitation. Lack of access to WASH can have an economic impact as much as 7% of Gross Domestic Product, not including the social and environmental consequences. Research points to significant health and socio-economic consequences of poor nutritional status, child growth and school performance caused by inadequate WASH. Groundwater over-extraction and pollution of surface water bodies have serious impacts on water resource availability and biodiversity, while climate change exacerbates the health risks of water insecurity. A significant literature documents the beneficial impacts of WASH interventions, and a growing number of impact evaluation studies assess how interventions are optimally financed, implemented and sustained. Many innovations in behavior change and service delivery offer potential for scaling up services to meet the SDGs.

  17. Knowledge-based decision support for Space Station assembly sequence planning

    1991-04-01

    A complete Personal Analysis Assistant (PAA) for Space Station Freedom (SSF) assembly sequence planning consists of three software components: the system infrastructure, intra-flight value added, and inter-flight value added. The system infrastructure is the substrate on which software elements providing inter-flight and intra-flight value-added functionality are built. It provides the capability for building representations of assembly sequence plans and specification of constraints and analysis options. Intra-flight value-added provides functionality that will, given the manifest for each flight, define cargo elements, place them in the National Space Transportation System (NSTS) cargo bay, compute performance measure values, and identify violated constraints. Inter-flight value-added provides functionality that will, given major milestone dates and capability requirements, determine the number and dates of required flights and develop a manifest for each flight. The current project is Phase 1 of a projected two phase program and delivers the system infrastructure. Intra- and inter-flight value-added were to be developed in Phase 2, which has not been funded. Based on experience derived from hundreds of projects conducted over the past seven years, ISX developed an Intelligent Systems Engineering (ISE) methodology that combines the methods of systems engineering and knowledge engineering to meet the special systems development requirements posed by intelligent systems, systems that blend artificial intelligence and other advanced technologies with more conventional computing technologies. The ISE methodology defines a phased program process that begins with an application assessment designed to provide a preliminary determination of the relative technical risks and payoffs associated with a potential application, and then moves through requirements analysis, system design, and development.

  18. A hierarchical knowledge-based approach for retrieving similar medical images described with semantic annotations.

    Kurtz, Camille; Beaulieu, Christopher F; Napel, Sandy; Rubin, Daniel L

    2014-06-01

    Computer-assisted image retrieval applications could assist radiologist interpretations by identifying similar images in large archives as a means to providing decision support. However, the semantic gap between low-level image features and their high level semantics may impair the system performances. Indeed, it can be challenging to comprehensively characterize the images using low-level imaging features to fully capture the visual appearance of diseases on images, and recently the use of semantic terms has been advocated to provide semantic descriptions of the visual contents of images. However, most of the existing image retrieval strategies do not consider the intrinsic properties of these terms during the comparison of the images beyond treating them as simple binary (presence/absence) features. We propose a new framework that includes semantic features in images and that enables retrieval of similar images in large databases based on their semantic relations. It is based on two main steps: (1) annotation of the images with semantic terms extracted from an ontology, and (2) evaluation of the similarity of image pairs by computing the similarity between the terms using the Hierarchical Semantic-Based Distance (HSBD) coupled to an ontological measure. The combination of these two steps provides a means of capturing the semantic correlations among the terms used to characterize the images that can be considered as a potential solution to deal with the semantic gap problem. We validate this approach in the context of the retrieval and the classification of 2D regions of interest (ROIs) extracted from computed tomographic (CT) images of the liver. Under this framework, retrieval accuracy of more than 0.96 was obtained on a 30-images dataset using the Normalized Discounted Cumulative Gain (NDCG) index that is a standard technique used to measure the effectiveness of information retrieval algorithms when a separate reference standard is available. Classification

  19. Knowledge-based iterative model reconstruction: comparative image quality and radiation dose with a pediatric computed tomography phantom

    Ryu, Young Jin; Choi, Young Hun [Seoul National University Hospital, Department of Radiology, Seoul (Korea, Republic of); Seoul National University College of Medicine, Department of Radiology, Seoul (Korea, Republic of); Cheon, Jung-Eun; Kim, Woo Sun; Kim, In-One [Seoul National University Hospital, Department of Radiology, Seoul (Korea, Republic of); Seoul National University College of Medicine, Department of Radiology, Seoul (Korea, Republic of); Seoul National University Medical Research Center, Institute of Radiation Medicine, Seoul (Korea, Republic of); Ha, Seongmin [New York-Presbyterian Hospital and the Weill Cornell Medical College, Dalio Institute of Cardiovascular Imaging, New York, NY (United States)

    2016-03-15

    CT of pediatric phantoms can provide useful guidance to the optimization of knowledge-based iterative reconstruction CT. To compare radiation dose and image quality of CT images obtained at different radiation doses reconstructed with knowledge-based iterative reconstruction, hybrid iterative reconstruction and filtered back-projection. We scanned a 5-year anthropomorphic phantom at seven levels of radiation. We then reconstructed CT data with knowledge-based iterative reconstruction (iterative model reconstruction [IMR] levels 1, 2 and 3; Philips Healthcare, Andover, MA), hybrid iterative reconstruction (iDose{sup 4}, levels 3 and 7; Philips Healthcare, Andover, MA) and filtered back-projection. The noise, signal-to-noise ratio and contrast-to-noise ratio were calculated. We evaluated low-contrast resolutions and detectability by low-contrast targets and subjective and objective spatial resolutions by the line pairs and wire. With radiation at 100 peak kVp and 100 mAs (3.64 mSv), the relative doses ranged from 5% (0.19 mSv) to 150% (5.46 mSv). Lower noise and higher signal-to-noise, contrast-to-noise and objective spatial resolution were generally achieved in ascending order of filtered back-projection, iDose{sup 4} levels 3 and 7, and IMR levels 1, 2 and 3, at all radiation dose levels. Compared with filtered back-projection at 100% dose, similar noise levels were obtained on IMR level 2 images at 24% dose and iDose{sup 4} level 3 images at 50% dose, respectively. Regarding low-contrast resolution, low-contrast detectability and objective spatial resolution, IMR level 2 images at 24% dose showed comparable image quality with filtered back-projection at 100% dose. Subjective spatial resolution was not greatly affected by reconstruction algorithm. Reduced-dose IMR obtained at 0.92 mSv (24%) showed similar image quality to routine-dose filtered back-projection obtained at 3.64 mSv (100%), and half-dose iDose{sup 4} obtained at 1.81 mSv. (orig.)

  20. FluKB: A Knowledge-Based System for Influenza Vaccine Target Discovery and Analysis of the Immunological Properties of Influenza Viruses.

    Simon, Christian; Kudahl, Ulrich J; Sun, Jing; Olsen, Lars Rønn; Zhang, Guang Lan; Reinherz, Ellis L; Brusic, Vladimir

    2015-01-01

    FluKB is a knowledge-based system focusing on data and analytical tools for influenza vaccine discovery. The main goal of FluKB is to provide access to curated influenza sequence and epitope data and enhance the analysis of influenza sequence diversity and the analysis of targets of immune responses. FluKB consists of more than 400,000 influenza protein sequences, known epitope data (357 verified T-cell epitopes, 685 HLA binders, and 16 naturally processed MHC ligands), and a collection of 28 influenza antibodies and their structurally defined B-cell epitopes. FluKB was built using a modular framework allowing the implementation of analytical workflows and includes standard search tools, such as keyword search and sequence similarity queries, as well as advanced tools for the analysis of sequence variability. The advanced analytical tools for vaccine discovery include visual mapping of T- and B-cell vaccine targets and assessment of neutralizing antibody coverage. FluKB supports the discovery of vaccine targets and the analysis of viral diversity and its implications for vaccine discovery as well as potential T-cell breadth and antibody cross neutralization involving multiple strains. FluKB is representation of a new generation of databases that integrates data, analytical tools, and analytical workflows that enable comprehensive analysis and automatic generation of analysis reports.

  1. Introducing a Method for Modeling Knowledge Bases in Expert Systems Using the Example of Large Software Development Projects

    Franz Felix Füssl

    2015-12-01

    Full Text Available Goal of this paper is to develop a meta-model, which provides the basis for developing highly scalable artificial intelligence systems that should be able to make autonomously decisions based on different dynamic and specific influences. An artificial neural network builds the entry point for developing a multi-layered human readable model that serves as knowledge base and can be used for further investigations in deductive and inductive reasoning. A graph-theoretical consideration gives a detailed view into the model structure. In addition to it the model is introduced using the example of large software development projects. The integration of Constraints and Deductive Reasoning Element Pruning are illustrated, which are required for executing deductive reasoning efficiently.

  2. A knowledge-based approach for C-factor mapping in Spain using Landsat TM and GIS

    Veihe (former Folly), Anita; Bronsveld, M.C.; Clavaux, M

    1996-01-01

    by unhomogeneous land cover. The study area covers a quarter scene of a Landsat TM in the Madrid region. Via a visual classification of multi-temporal false colour composites, the study area could be divided into major land classes consisting of urban areas, natural vegetation and areas dominated by annual crops....... Each class was sampled separately followed by a supervised classification using the maximum likelihood algorithm. With the use of additional data, an improved distinction was made between cover types characterized by different risk levels with respect to the C-factor. For areas with natural vegetation......The cover and management factor (C) in the Universal Soil Loss Equation (USLE), is one of the most important parameters for assessing erosion. In this study it is shown how a knowledge-based approach can be used to optimize C-factor mapping in the Mediterranean region being characterized...

  3. Matrix Failure Modes and Effects Analysis as a Knowledge Base for a Real Time Automated Diagnosis Expert System

    Herrin, Stephanie; Iverson, David; Spukovska, Lilly; Souza, Kenneth A. (Technical Monitor)

    1994-01-01

    Failure Modes and Effects Analysis contain a wealth of information that can be used to create the knowledge base required for building automated diagnostic Expert systems. A real time monitoring and diagnosis expert system based on an actual NASA project's matrix failure modes and effects analysis was developed. This Expert system Was developed at NASA Ames Research Center. This system was first used as a case study to monitor the Research Animal Holding Facility (RAHF), a Space Shuttle payload that is used to house and monitor animals in orbit so the effects of space flight and microgravity can be studied. The techniques developed for the RAHF monitoring and diagnosis Expert system are general enough to be used for monitoring and diagnosis of a variety of other systems that undergo a Matrix FMEA. This automated diagnosis system was successfully used on-line and validated on the Space Shuttle flight STS-58, mission SLS-2 in October 1993.

  4. The development of a knowledge base in an expert system based on the four-layer perceptron neural network

    2007-01-01

    Owing to continuous production lines with large amount of consecutive controls, various control signals and huge logistic relations, this paper introduced the methods and principles of the development of knowledge base in a fault diagnosis expert system that was based on machine learning by the four-layer perceptron neural network. An example was presented. By combining differential function with not differentia function and back propagation of error with back propagation of expectation, the four-layer perceptron neural network was established. And it was good for solving such a bottleneck problem in knowledge acquisition in expert system and enhancing real-time on-line diagnosis. A method of synthetic back propagation was designed, which broke the limit to non-differentiable function in BP neural network.

  5. A First Look on iMiner's Knowledge base and Detecting Hidden Hierarchy of Riyadh Bombing Terrorist Network

    Memon, Nasrullah

    2007-01-01

      - Data collection is difficult to any network analysis because it is difficult to create a complete network.  It is not easy to gain information on terrorist networks.  It is fact that terrorist organizations do not provide information on their members and the government rarely allows researchers...... to use their intelligence data (Ressler S., 2006).  Very few researchers (Krebs, V., 2002, Sageman, M., 2004 and Rodriguez, J. A., 2004) collected data from open sources, and to the best of our knowledge, no knowledge base is available in academia for the analysis of the terrorist events.   To counter...... of Investigative Data Mining (IDM). In addition, we present iMiner Information Harvesting System and describe how intelligence agencies could be benefited from detecting hierarchy in non-hierarchical terrorist networks.  In this paper we present results of detection of hidden hierarchy of Riyadh Bombing Terrorist...

  6. Knowledge Based Cloud FE simulation - data-driven material characterization guidelines for the hot stamping of aluminium alloys

    Wang, Ailing; Zheng, Yang; Liu, Jun; El Fakir, Omer; Masen, Marc; Wang, Liliang

    2016-08-01

    The Knowledge Based Cloud FEA (KBC-FEA) simulation technique allows multiobjective FE simulations to be conducted on a cloud-computing environment, which effectively reduces computation time and expands the capability of FE simulation software. In this paper, a novel functional module was developed for the data mining of experimentally verified FE simulation results for metal forming processes obtained from KBC-FE. Through this functional module, the thermo-mechanical characteristics of a metal forming process were deduced, enabling a systematic and data-driven guideline for mechanical property characterization to be developed, which will directly guide the material tests for a metal forming process towards the most efficient and effective scheme. Successful application of this data-driven guideline would reduce the efforts for material characterization, leading to the development of more accurate material models, which in turn enhance the accuracy of FE simulations.

  7. The pan-genome: towards a knowledge-based discovery of novel targets for vaccines and antibacterials.

    Muzzi, Alessandro; Masignani, Vega; Rappuoli, Rino

    2007-06-01

    During the past decade, sequencing of the entire genome of pathogenic bacteria has become a widely used practice in microbiology research. More recently, sequence data from multiple isolates of a single pathogen have provided new insights into the microevolution of a species as well as helping researchers to decipher its virulence mechanisms. The comparison of multiple strains of a single species has resulted in the definition of the species pan-genome, as a measure of the total gene repertoire that can pertain to a given microorganism. This concept can be exploited not only to study the diversity of a species, but also, as we discuss here, to provide the opportunity to use a knowledge-based approach for the development of novel vaccine candidates and new-generation targets for antimicrobials.

  8. CATTLE (CAncer treatment treasury with linked evidence): An integrated knowledge base for personalized oncology research and practice

    Soysal, E; Lee, H‐J; Zhang, Y; Huang, L‐C; Chen, X; Wei, Q; Zheng, W; Chang, JT; Cohen, T; Sun, J

    2017-01-01

    Despite the existence of various databases cataloging cancer drugs, there is an emerging need to support the development and application of personalized therapies, where an integrated understanding of the clinical factors and drug mechanism of action and its gene targets is necessary. We have developed CATTLE (CAncer Treatment Treasury with Linked Evidence), a comprehensive cancer drug knowledge base providing information across the complete spectrum of the drug life cycle. The CATTLE system collects relevant data from 22 heterogeneous databases, integrates them into a unified model centralized on drugs, and presents comprehensive drug information via an interactive web portal with a download function. A total of 2,323 unique cancer drugs are currently linked to rich information from these databases in CATTLE. Through two use cases, we demonstrate that CATTLE can be used in supporting both research and practice in personalized oncology. PMID:28296354

  9. Knowledge-based method for determining the meaning of ambiguous biomedical terms using information content measures of similarity.

    McInnes, Bridget T; Pedersen, Ted; Liu, Ying; Melton, Genevieve B; Pakhomov, Serguei V

    2011-01-01

    In this paper, we introduce a novel knowledge-based word sense disambiguation method that determines the sense of an ambiguous word in biomedical text using semantic similarity or relatedness measures. These measures quantify the degree of similarity between concepts in the Unified Medical Language System (UMLS). The objective of this work was to develop a method that can disambiguate terms in biomedical text by exploiting similarity information extracted from the UMLS and to evaluate the efficacy of information content-based semantic similarity measures, which augment path-based information with probabilities derived from biomedical corpora. We show that information content-based measures obtain a higher disambiguation accuracy than path-based measures because they weight the path based on where it exists in the taxonomy coupled with the probability of the concepts occurring in a corpus of text.

  10. A Knowledge-Based Approach to Improving and Homogenizing Intensity Modulated Radiation Therapy Planning Quality Among Treatment Centers: An Example Application to Prostate Cancer Planning

    Good, David [Medical Physics Graduate Program, Duke University, Durham, North Carolina (United States); Lo, Joseph [Medical Physics Graduate Program, Duke University, Durham, North Carolina (United States); Department of Radiology and Departments of Biomedical Engineering and Electrical and Computer Engineering, Duke University, Durham, North Carolina (United States); Lee, W. Robert [Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina (United States); Wu, Q. Jackie; Yin, Fang-Fang [Medical Physics Graduate Program, Duke University, Durham, North Carolina (United States); Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina (United States); Das, Shiva K., E-mail: shiva.das@duke.edu [Medical Physics Graduate Program, Duke University, Durham, North Carolina (United States); Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina (United States)

    2013-09-01

    Purpose: Intensity modulated radiation therapy (IMRT) treatment planning can have wide variation among different treatment centers. We propose a system to leverage the IMRT planning experience of larger institutions to automatically create high-quality plans for outside clinics. We explore feasibility by generating plans for patient datasets from an outside institution by adapting plans from our institution. Methods and Materials: A knowledge database was created from 132 IMRT treatment plans for prostate cancer at our institution. The outside institution, a community hospital, provided the datasets for 55 prostate cancer cases, including their original treatment plans. For each “query” case from the outside institution, a similar “match” case was identified in the knowledge database, and the match case’s plan parameters were then adapted and optimized to the query case by use of a semiautomated approach that required no expert planning knowledge. The plans generated with this knowledge-based approach were compared with the original treatment plans at several dose cutpoints. Results: Compared with the original plan, the knowledge-based plan had a significantly more homogeneous dose to the planning target volume and a significantly lower maximum dose. The volumes of the rectum, bladder, and femoral heads above all cutpoints were nominally lower for the knowledge-based plan; the reductions were significantly lower for the rectum. In 40% of cases, the knowledge-based plan had overall superior (lower) dose–volume histograms for rectum and bladder; in 54% of cases, the comparison was equivocal; in 6% of cases, the knowledge-based plan was inferior for both bladder and rectum. Conclusions: Knowledge-based planning was superior or equivalent to the original plan in 95% of cases. The knowledge-based approach shows promise for homogenizing plan quality by transferring planning expertise from more experienced to less experienced institutions.

  11. Knowledge Based Text Generation

    1989-08-01

    Greene, 1975: 132] Page 33 Chapter 5 DISCOURSE THEORY If a question can be put at all, then it can also be answered. Ludwig Wittgenstein 5.1...canned 7 Williams 38 comparison with GENNY 69 connectivity 17 Winograd 31, 56 grammars 37 systemic grammar 63 schemas 21 Wittgenstein 33 XSEL 8 MISSION

  12. Knowledge based Entrepreneurship

    Heebøll, John

    This book is dedicated enterprising people with a technical or a scientific background who consider commercializing ideas and inventions within their field of expertise via a new business activity or a new company. It aims at distilling experiences from many successful and not so successful start...

  13. Toward improved software security training using a cyber warfare opposing force (CW OPFOR): the knowledge base design

    Stytz, Martin R.; Banks, Sheila B.

    2005-03-01

    consisted of developing an understanding of the cyberwarfare environment and categorizing offensive cyberwarfare strategies and techniques. In the second phase of the research project, which is the centerpiece of this paper, we developed and refined the system software architecture and system design and developed and revised a knowledge base design. In the third phase, which will be the subject of future research reports, we will implement a prototype CW OPFOR and test and evaluate its performance within realistic experiments. The second phase of the CW OPFOR research project is a key step; one that will determine the scalability, utility, and maintainability of the CWOPFOR. For the CW OPFOR, software development and knowledge acquisition must be key activities and must be conducted so that the CW OPFOR has the ability to adapt and incorporate research results and cyberbattlespace insights. This paper will discuss the key aspects of these two parallel knowledge base design efforts as well as discuss the CW OPFOR software architecture and design. The paper is organized as follows. Section One presents a discussion concerning the motivation for the CW OPFOR project, the need for the capability, and the expected results. Section Two contains a discussion of background material. Section Three contains an overview discussion of the CW OPFOR knowledge base design and the key design choices and alternatives considered at each choice. Section Four contains a discussion of conclusions and future work.

  14. High Level Requirements for the Nuclear Energy -- Knowledge Base for Advanced Modeling and Simulation (NE-KAMS)

    Rich Johnson; Hyung Lee; Kimberlyn C. Mousseau

    2011-09-01

    The US Department of Energy, Office of Nuclear Energy (DOE-NE), has been tasked with the important mission of ensuring that nuclear energy remains a compelling and viable energy source in the U.S. The motivations behind this mission include cost-effectively meeting the expected increases in the power needs of the country, reducing carbon emissions and reducing dependence on foreign energy sources. In the near term, to ensure that nuclear power remains a key element of U.S. energy strategy and portfolio, the DOE-NE will be working with the nuclear industry to support safe and efficient operations of existing nuclear power plants. In the long term, to meet the increasing energy needs of the U.S., the DOE-NE will be investing in research and development (R&D) and working in concert with the nuclear industry to build and deploy new, safer and more efficient nuclear power plants. The safe and efficient operations of existing nuclear power plants and designing, licensing and deploying new reactor designs, however, will require focused R&D programs as well as the extensive use and leveraging of advanced modeling and simulation (M&S). M&S will play a key role in ensuring safe and efficient operations of existing and new nuclear reactors. The DOE-NE has been actively developing and promoting the use of advanced M&S in reactor design and analysis through its R&D programs, e.g., the Nuclear Energy Advanced Modeling and Simulation (NEAMS) and Consortium for Advanced Simulation of Light Water Reactors (CASL) programs. Also, nuclear reactor vendors are already using CFD and CSM, for design, analysis, and licensing. However, these M&S tools cannot be used with confidence for nuclear reactor applications unless accompanied and supported by verification and validation (V&V) and uncertainty quantification (UQ) processes and procedures which provide quantitative measures of uncertainty for specific applications. The Nuclear Energy Knowledge base for Advanced Modeling and Simulation

  15. Ontology modeling of semantics in social media:Public issue knowledge base (PIKB)of the Weibo

    Yan; ZHOU; Wei; LI; Xingfu; YUAN; Pengyi; ZHANG

    2014-01-01

    Purpose:This study aims to construct an ontology to model the semantics of social media streams,in particular,trending topics and public issues.Design/methodology/approach:Our knowledge base included 10 public events and topics from Weibo respectively,which were collected through keyword search and a crawler program.We used a semi-automatic approach to model and annotate the semantics in social media,and adapted the multi-layered ontology to refine the design based on previous researches,then we used named entity recognition(NER) to extract entities to instantiate the ontology.Relationships were extracted based on co-occurrence measures.Finally,we manually conducted post-filtering evaluation and edited the extracted entities and relationships.Findings:An initial assessment demonstrated that our multi-layered ontology supports various types of queries and analyses in the public issue knowledge base(PIKB),which can serve as an effective tool to query,understand and trace public issues.Research limitations:Manual involvement cannot meet the requirements for challenges of sustainable developments.Since the relationships extracted are fully based on the co-occurrence of entities,rich semantic relationships,such as how much the key players have been involved,could not be fully reflected.Besides,the user evaluation is necessary for further ontology assessment.Practical implications:The PIKB can be used by regular Web users and policy makers to query,understand,and make sense of public events and topics.The methodology and reusable ontology model are useful for institutions that are interested in making use of the social media data.Originality/value:In this study,a multi-layered ontology is applied to model the evolving semantics of public events and trending topics in social media,and the semi-automatic approach could make it possible to extract entities and relationships from large amount of unstructured short texts of user generated content(UGC) from social media.

  16. 知识经济环境下的军队建设发展%The development of military under the circumstance of knowledge-based economy

    罗琴

    2015-01-01

    文章简要介绍了知识经济的定义及其特征,在此基础上探讨了知识经济对军事诸领域的影响,并提出了知识经济环境下军队建设发展应关注的几个方面.%This paper introduces the definition and features of knowledge-based economy briefly, on the basis of which it discusses how the military field influenced by the knowledge-based economy and presents some aspects should be paid attention to about the development of military under the circumstance of knowledge-based economy.

  17. NEW APPROACHES ON INNOVATION PROCESS IN THE CONTEXT OF KNOWLEDGE-BASED ECONOMY. IMPLICATIONS FOR ROMANIAN ENTERPRISES

    LUŢ DINA MARIA

    2012-11-01

    Full Text Available In the knowledge-based economy the knowledge has become the essential factor of production, the key element of economic competitiveness at the organizational level, national and global level. Education, research and innovation form the so-called "knowledge triangle". In this triangle, the innovation is the key element with the greatest impact on welfare and also the most problematic in terms of the related policies.Unfortunately, most of the Romanian enterprises, especially the small and medium sized ones, have not the resources to support innovation process. For this reason, it was found that a viable innovation strategy is based on the combination of firms, participation in networks, alliances and collaborations in order to reduce costs ever higher of technology transfer. In recent years, such a combination is the business cluster.Starting from these considerations, the paper presents several aspects regarding the clustering process, as the best way of achieving competitiveness for Romanian enterprises, especially for the small and medium ones. The paper also highlights the main benefits of the clusters parts.

  18. Integrating knowledge-based multi-criteria evaluation techniques with GIS for landfill site selection: A case study using AHP

    Fagbohun, B. J.; Aladejana, O. O.

    2016-09-01

    A major challenge in most growing urban areas of developing countries, without a pre-existing land use plan is the sustainable and efficient management of solid wastes. Siting a landfill is a complicated task because of several environmental regulations. This challenge gives birth to the need to develop efficient strategies for the selection of proper waste disposal sites in accordance with all existing environmental regulations. This paper presents a knowledge-based multi-criteria decision analysis using GIS for the selection of suitable landfill site in Ado-Ekiti, Nigeria. In order to identify suitable sites for landfill, seven factors - land use/cover, geology, river, soil, slope, lineament and roads - were taken into consideration. Each factor was classified and ranked based on prior knowledge about the area and existing guidelines. Weights for each factor were determined through pair-wise comparison using Saaty's 9 point scale and AHP. The integration of factors according to their weights using weighted index overlay analysis revealed that 39.23 km2 within the area was suitable to site a landfill. The resulting suitable area was classified as high suitability covering 6.47 km2 (16.49%), moderate suitability 25.48 km2 (64.95%) and low suitability 7.28 km2 (18.56%) based on their overall weights.

  19. APL: An angle probability list to improve knowledge-based metaheuristics for the three-dimensional protein structure prediction.

    Borguesan, Bruno; Barbachan e Silva, Mariel; Grisci, Bruno; Inostroza-Ponta, Mario; Dorn, Márcio

    2015-12-01

    Tertiary protein structure prediction is one of the most challenging problems in structural bioinformatics. Despite the advances in algorithm development and computational strategies, predicting the folded structure of a protein only from its amino acid sequence remains as an unsolved problem. We present a new computational approach to predict the native-like three-dimensional structure of proteins. Conformational preferences of amino acid residues and secondary structure information were obtained from protein templates stored in the Protein Data Bank and represented as an Angle Probability List. Two knowledge-based prediction methods based on Genetic Algorithms and Particle Swarm Optimization were developed using this information. The proposed method has been tested with twenty-six case studies selected to validate our approach with different classes of proteins and folding patterns. Stereochemical and structural analysis were performed for each predicted three-dimensional structure. Results achieved suggest that the Angle Probability List can improve the effectiveness of metaheuristics used to predicted the three-dimensional structure of protein molecules by reducing its conformational search space.

  20. The Genexpress IMAGE knowledge base of the human brain transcriptome: a prototype integrated resource for functional and computational genomics.

    Piétu, G; Mariage-Samson, R; Fayein, N A; Matingou, C; Eveno, E; Houlgatte, R; Decraene, C; Vandenbrouck, Y; Tahi, F; Devignes, M D; Wirkner, U; Ansorge, W; Cox, D; Nagase, T; Nomura, N; Auffray, C

    1999-02-01

    Expression profiles of 5058 human gene transcripts represented by an array of 7451 clones from the first IMAGE Consortium cDNA library from infant brain have been collected by semiquantitative hybridization of the array with complex probes derived by reverse transcription of mRNA from brain and five other human tissues. Twenty-one percent of the clones corresponded to transcripts that could be classified in general categories of low, moderate, or high abundance. These expression profiles were integrated with cDNA clone and sequence clustering and gene mapping information from an upgraded version of the Genexpress Index. For seven gene transcripts found to be transcribed preferentially or specifically in brain, the expression profiles were confirmed by Northern blot analyses of mRNA from eight adult and four fetal tissues, and 15 distinct regions of brain. In four instances, further documentation of the sites of expression was obtained by in situ hybridization of rat-brain tissue sections. A systematic effort was undertaken to further integrate available cytogenetic, genetic, physical, and genic map informations through radiation-hybrid mapping to provide a unique validated map location for each of these genes in relation to the disease map. The resulting Genexpress IMAGE Knowledge Base is illustrated by five examples presented in the printed article with additional data available on a dedicated Web site at the address http://idefix.upr420.vjf.cnrs.fr/EXPR++ +/ welcome.html.