WorldWideScience

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 needs...... to assign the lowest energy to the native structure and to have a nice minimum around the native structure in order to assign detectable lower values on a set larger than the sampling density. Here we consider the second part of the problem and use only the carbon alpha atoms of the structures to....... These two numbers are called length and distance excess, c.f. [2], and give one point in the length - distance excess - plane, LDE-plane. Method: Given a sequence of amino acids, we break it down to all its 7-mers and search a database of known 3d-structures for similar 7-mer sequences. For the query 7...

  2. The potential of knowledge based systems in nuclear installations

    The integration of the knowledge based systems (KBS) with processes is a new challenge for artificial intelligence developments. Integration requires improved robustness of the KBS, using methodologies which cater for building well structured, modular applications, and for verification and validation. The following key points related to KBS development were discussed during the meeting: state of the art in knowledge representation and reasoning; methods for building KBS; tools and computers used for building and implementing KBS; requirements for verification and validation; communication between KBS and the process, and between the KBS and the operators. 9 papers were presented by participants. A separate abstract was prepared for each of the papers. Refs and figs

  3. 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.

  4. 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

  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. Consistent Refinement of Submitted Models at CASP using a Knowledge-based Potential

    Chopra, Gaurav; Kalisman, Nir; Levitt, Michael

    2010-01-01

    Protein structure refinement is an important but unsolved problem; it must be solved if we are to predict biological function that is very sensitive to structural details. Specifically, Critical Assessment of Techniques for Protein Structure Prediction (CASP) shows that the accuracy of predictions in the comparative modeling category is often worse than that of the template on which the homology model is based. Here we describe a refinement protocol that is able to consistently refine submitted predictions for all categories at CASP7. The protocol uses direct energy minimization of the knowledge-based potential of mean force that is based on the interaction statistics of 167 atom types (Summa and Levitt, Proc Natl Acad Sci USA 2007; 104:3177–3182). Our protocol is thus computationally very efficient; it only takes a few minutes of CPU time to run typical protein models (300 residues). We observe an average structural improvement of 1% in GDT_TS, for predictions that have low and medium homology to known PDB structures (Global Distance Test score or GDT_TS between 50 and 80%). We also observe a marked improvement in the stereochemistry of the models. The level of improvement varies amongst the various participants at CASP, but we see large improvements (>10% increase in GDT_TS) even for models predicted by the best performing groups at CASP7. In addition, our protocol consistently improved the best predicted models in the refinement category at CASP7 and CASP8. These improvements in structure and stereochemistry prove the usefulness of our computationally inexpensive, powerful and automatic refinement protocol. PMID:20589633

  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. Knowledge Based Strategies for Knowledge Based Organizations

    Madalina Cristina Tocan

    2012-12-01

    Full Text Available 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 of management- knowledge based management and a new type of enterprise-knowledge based enterprise.Taking in consideration these predictable evolutions, this paper will try to present: • The main ideas of the researches the field of the knowledge based economy • The characteristics and principles of the knowledge based organizations and knowledge based management • The challenges and opportunities for knowledge based organizations.The first part of the paper will present the principles of the new economy- knowledge base economy, the essential and interrelated elements necessary to build and to implement a strategy in a knowledge economy and the opportunities and challenges to the countries as they seek to build regionally and globally competitive knowledge-based economies.The second part of the paper will present the characteristics of the knowledge based organizations, the principles and characteristics of their management. For many organizations, knowledge management is a relatively new concept, because they are discovering the knowledge value in their operations. Many firms have undertaken formal and informal knowledge management initiatives designed to improve process performance, increase customer responsiveness and spur innovation. But while some organizations have reaped significant benefits from their investment in knowledge efforts, others have run into noteworthy challenges.

  12. 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

    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......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 for...... selecting rigid-body docking poses. These potentials include the energetic component that provides the residues with a particular secondary structure and surface accessibility. These scoring functions have been tested on a state-of-art benchmark dataset and on a decoy dataset of permanent interactions. Our...

  13. 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...

  14. Guarded Hybrid Knowledge Bases

    Heymans, Stijn; Predoiu, Livia; Feier, Cristina; Van Nieuwenborgh, Davy

    2007-01-01

    Recently, there has been a lot of interest in the integration of Description Logics and rules on the Semantic Web.We define guarded hybrid knowledge bases (or g-hybrid knowledge bases) as knowledge bases that consist of a Description Logic knowledge base and a guarded logic program, similar to the DL+log knowledge bases from (Rosati 2006). G-hybrid knowledge bases enable an integration of Description Logics and Logic Programming where, unlike in other approaches, variables in the rules of a guarded program do not need to appear in positive non-DL atoms of the body, i.e. DL atoms can act as guards as well. Decidability of satisfiability checking of g-hybrid knowledge bases is shown for the particular DL DLRO, which is close to OWL DL, by a reduction to guarded programs under the open answer set semantics. Moreover, we show 2-EXPTIME-completeness for satisfiability checking of such g-hybrid knowledge bases. Finally, we discuss advantages and disadvantages of our approach compared with DL+log knowledge bases.

  15. Knowledge Based Strategies for Knowledge Based Organizations

    Madalina Cristina Tocan

    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...

  16. Creating a knowledge-based economy in the United Arab Emirates: realising the unfulfilled potential of women in the science, technology and engineering fields

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

    2011-12-01

    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 their attitudes towards science, technology and engineering (STE). The findings point to the importance of adapting mainstream policies to the local context and the need to better understand the effect of culture and society on the individual and the economy. There is a need to increase interest in STE by raising awareness of what the fields entail, potential careers and their suitability with existing cultural beliefs. Also suggested is the need to overcome negative stereotypes of engineering, implement initiatives for further family involvement at the higher education level, as well as the need to ensure a greater availability of STE university programmes across the UAE.

  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. Onlincolnshire Knowledge Base Collaboration

    Fuller, Ted; Bosworth, Gary; Deville, Jane

    2016-01-01

    This report outlines the Onlincolnshire Knowledge Base Collaboration project undertaken by Lincoln Business School between May 2014 and September 2015. Onlincolnshire is a Lincolnshire County Council-run project which is part-funded by the East Midlands European Regional Development Fund (ERDF) Programme 2007 to 2013. As well as improving the broadband infrastructure, Onlincolnshire delivered a range of support to Lincolnshire’s Small and Medium Sized Enterprises (SMEs) through the “Business...

  19. Knowledge Based Economy Assessment

    Madalina Cristina Tocan

    2012-01-01

    The importance of knowledge-based economy (KBE) in the XXI century is evident. 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. The authors highlight the possibility to assess the penetration level of KBE which could manifest itself trough the exist...

  20. Knowledge-based utility

    This presentation provides industry examples of successful marketing practices by companies facing deregulation and competition. The common thread through the examples is that long term survival of today's utility structure is dependent on the strategic role of knowledge. As opposed to regulated monopolies which usually own huge physical assets and have very little intelligence about their customers, unregulated enterprises tend to be knowledge-based, characterized by higher market value than book value. A knowledge-based enterprise gathers data, creates information and develops knowledge by leveraging it as a competitive weapon. It institutionalizes human knowledge as a corporate asset for use over and over again by the use of databases, computer networks, patents, billing, collection and customer services (BCCS), branded interfaces and management capabilities. Activities to become knowledge-based such as replacing inventory/fixed assets with information about material usage to reduce expenditure and achieve more efficient operations, and by focusing on integration and value-adding delivery capabilities, were reviewed

  1. 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.

  2. The knowledge base of journalism

    Svith, Flemming

    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...

  3. Crystallization and preliminary X-ray diffraction data of an LNA 7-mer duplex derived from a ricin aptamer

    An all-LNA duplex was designed from the stem region of an RNA aptamer which has been generated against ricin. The LNA duplex was crystallized and preliminary X-ray diffraction analysis revealed diffraction to a resolution of up to 2.8 Å. Locked nucleic acids (LNAs) are modified nucleic acids which contain a modified sugar such as β-d-2′-O,4′-C methylene-bridged ribofuranose or other sugar derivatives in LNA analogues. The β-d-2′-O,4′-C methylene ribofuranose LNAs in particular possess high stability and melting temperatures, which makes them of interest for stabilizing the structure of different nucleic acids. Aptamers, which are DNAs or RNAs targeted against specific ligands, are candidates for substitution with LNAs in order to increase their stability. A 7-mer helix derived from the terminal part of an aptamer that was targeted against ricin was chosen. The ricin aptamer originally consisted of natural RNA building blocks and showed high affinity in ricin binding. For future stabilization of the aptamer, the terminal helix has been constructed as an ‘all-locked’ LNA and was successfully crystallized in order to investigate its structural properties. Optimization of crystal growth succeeded by the use of different metal salts as additives, such as CuCl2, MgCl2, MnCl2, CaCl2, CoCl2 and ZnSO4. Preliminary X-ray diffraction data were collected and processed to 2.8 Å resolution. The LNA crystallized in space group P65, with unit-cell parameters a = 50.11, b = 50.11, c = 40.72 Å. The crystals contained one LNA helix per asymmetric unit with a Matthews coefficient of 3.17 Å3 Da−1, which implies a solvent content of 70.15%

  4. The Knowledge Based Information Economy

    Eliasson, Gunnar; Fölster, Stefan; Lindberg, Thomas; Pousette, Tomas; Erol TAYMAZ

    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.

  5. Knowledge-based Telecom Industry

    Vinje, Villeman; Nordkvelde, Marius

    2011-01-01

    BI Norwegian School of Management is conducting a national research project entitled “A knowledge-based Norway”. Thirteen major knowledge-based industries in Norway are being analyzed under the auspices of the project. This study assesses the underlying properties of a global knowledge hub to examine the extent to which the Norwegian telecom industry – which encompasses all telecom firms located in Norway regardless of ownership – constitutes a global knowledge hub. It commences with a ge...

  6. Knowledge-Based Query Construction Using the CDSS Knowledge Base for Efficient Evidence Retrieval

    Muhammad Afzal

    2015-08-01

    Full Text Available Finding appropriate evidence to support clinical practices is always challenging, and the construction of a query to retrieve such evidence is a fundamental step. Typically, evidence is found using manual or semi-automatic methods, which are time-consuming and sometimes make it difficult to construct knowledge-based complex queries. To overcome the difficulty in constructing knowledge-based complex queries, we utilized the knowledge base (KB of the clinical decision support system (CDSS, which has the potential to provide sufficient contextual information. To automatically construct knowledge-based complex queries, we designed methods to parse rule structure in KB of CDSS in order to determine an executable path and extract the terms by parsing the control structures and logic connectives used in the logic. The automatically constructed knowledge-based complex queries were executed on the PubMed search service to evaluate the results on the reduction of retrieved citations with high relevance. The average number of citations was reduced from 56,249 citations to 330 citations with the knowledge-based query construction approach, and relevance increased from 1 term to 6 terms on average. The ability to automatically retrieve relevant evidence maximizes efficiency for clinicians in terms of time, based on feedback collected from clinicians. This approach is generally useful in evidence-based medicine, especially in ambient assisted living environments where automation is highly important.

  7. 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.

  8. ERB - Graphic knowledge base editor

    The paper describes the present state and future prospects of the Expert System for Operator Support (ESOS) developed at the Nuclear Research Institute at Rez near Prague (NRI). Special emphasis is put on knowledge acquisition and knowledge base representation means - ERB. ERB is a package of programs, which enables the user to create, edit and compile a knowledge base of the Expert System RECON, to create and edit testing data and to test knowledge base (KB). The knowledge base is displayed in the form of a graph, where nodes represent the rules and arcs represent the relations ''PREDECESSOR→SUCCESSOR''. The filling of KB is integrated with the design of their graphical representation. Owing to this, the form of the KB representation makes the whole KB more understandable. The filling process of KB corresponds with general methodologies, where in the first step nodes with identifiers and texts are defined, in the second step relations between them are specified, in the third step the predecessor is defined and finally, relations between nodes are concretized. The paper contains a description of the functions offered by the ERB. (author). 2 refs, 5 figs

  9. A knowledge-based potential highlights unique features of membrane α-helical and β-barrel protein insertion and folding

    Hsieh, Daniel; Davis, Alexander; Nanda, Vikas

    2011-01-01

    Outer membrane β-barrel proteins differ from α-helical inner membrane proteins in lipid environment, secondary structure, and the proposed processes of folding and insertion. It is reasonable to expect that outer membrane proteins may contain primary sequence information specific for their folding and insertion behavior. In previous work, a depth-dependent insertion potential, Ez, was derived for α-helical inner membrane proteins. We have generated an equivalent potential for TM β-barrel prot...

  10. Human Capital in the Knowledge Based Management

    Ion PETRESCU

    2010-01-01

    All over the world, the problem of human capital acknowledge, it’s ways and means of shaping in order to improve it’s creative potential, tends to occupy a suitable place in the ensemble of all the organization’s management science and practice concerns. This study aims that, according to the theoretical ang pragmatical aquisitions, to present conceptual boundries about the human capital involvement in the knowledge based management. It starts with presenting the relations ballance and philos...

  11. Knowledge-based tracking algorithm

    Corbeil, Allan F.; Hawkins, Linda J.; Gilgallon, Paul F.

    1990-10-01

    This paper describes the Knowledge-Based Tracking (KBT) algorithm for which a real-time flight test demonstration was recently conducted at Rome Air Development Center (RADC). In KBT processing, the radar signal in each resolution cell is thresholded at a lower than normal setting to detect low RCS targets. This lower threshold produces a larger than normal false alarm rate. Therefore, additional signal processing including spectral filtering, CFAR and knowledge-based acceptance testing are performed to eliminate some of the false alarms. TSC's knowledge-based Track-Before-Detect (TBD) algorithm is then applied to the data from each azimuth sector to detect target tracks. In this algorithm, tentative track templates are formed for each threshold crossing and knowledge-based association rules are applied to the range, Doppler, and azimuth measurements from successive scans. Lastly, an M-association out of N-scan rule is used to declare a detection. This scan-to-scan integration enhances the probability of target detection while maintaining an acceptably low output false alarm rate. For a real-time demonstration of the KBT algorithm, the L-band radar in the Surveillance Laboratory (SL) at RADC was used to illuminate a small Cessna 310 test aircraft. The received radar signal wa digitized and processed by a ST-100 Array Processor and VAX computer network in the lab. The ST-100 performed all of the radar signal processing functions, including Moving Target Indicator (MTI) pulse cancelling, FFT Doppler filtering, and CFAR detection. The VAX computers performed the remaining range-Doppler clustering, beamsplitting and TBD processing functions. The KBT algorithm provided a 9.5 dB improvement relative to single scan performance with a nominal real time delay of less than one second between illumination and display.

  12. Transforming growth factor-β1 phage model peptides isolated from a phage display 7-mer peptide library can inhibit the activity of keloid fibroblasts

    ZONG Xian-lei; JIANG Du-yin; WANG Ji-chang; LIU Jun-li; LIU Zhen-zhong; CAI Jing-long

    2011-01-01

    Background Transforming growth factor-β1 (TGF-β1) is known to have a role in keloid formation through the activation of fibroblasts and the acceleration of collagen deposition. The objective of this current study was to isolate TGF-β1 phage model peptides from a phage display 7-mer peptide library to evaluate their therapeutic effect on inhibiting the activity of keloid fibroblasts.Methods A phage display 7-mer peptide library was screened using monoclonal anti-human TGF-β1 as the target to obtain specific phages containing ectogenous model peptides similar to TGF-β1. Enzyme-linked immunosorbent assay (ELISA) was performed to select monoclonal phages with good binding activity, which underwent DNA sequencing. MTT assay and apoptosis assessment were used to evaluate the biological effects of the phage model peptides on keloid fibroblasts. Immunofluorescence assay was employed to show the binding affinity of the model peptides on phages causing keloid fibroblasts. Quantitative real-time PCR analysis was carried out to detect the expressions of nuclear factor κB (NF-κB) mRNA, connective tissue growth factor (CTGF) mRNA and TGF-β receptor Ⅱ (TβRII) mRNA in keloid fibroblasts.Results Specific phages with good results of ELISA were beneficiated. Four phage model peptides were obtained. The data of MTT showed that TGF-β1 and one phage model peptide (No. 4) could promote keloid fibroblasts proliferation,however, three phage model peptides (No. 1-3) could inhibit keloid fibroblasts proliferation. The results of apoptosis assessment showed that the three phage model peptides could slightly induce the apoptosis in keloid fibroblasts. The data of immunofluorescence assay revealed that the model peptides on phages rather than phages could bind to keloid fibroblasts. The findings of quantitative real-time PCR analysis suggested that the expressions of NF-κB mRNA and CTGF mRNA in the three phage model peptide groups decreased, while the expression of TβRII m

  13. 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.

  14. 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.

  15. 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.

  16. Knowledge-Based Network Operations

    Wu, Chuan-lin; Hung, Chaw-Kwei; Stedry, Steven P.; McClure, James P.; Yeh, Show-Way

    1988-03-01

    An expert system is being implemented for enhancing operability of the Ground Communication Facility (GCF) of Jet Propulsion Laboratory's (JPL) Deep Space Network (DSN). The DSN is a tracking network for all of JPL's spacecraft plus a subset of spacecrafts launched by other NASA centers. A GCF upgrade task is set to replace the current GCF aging system with new, modern equipments which are capable of using knowledge-based monitor and control approach. The expert system, implemented in terms of KEE and SUN workstation, is used for performing network fault management, configuration management, and performance management in real-time. Monitor data are collected from each processor and DSCC's in every five seconds. In addition to serving as input parameters of the expert system, extracted management information is used to update a management information database. For the monitor and control purpose, software of each processor is divided into layers following the OSI standard. Each layer is modeled as a finite state machine. A System Management Application Process (SMAP) is implemented at application layer, which coordinates layer managers of the same processor and communicates with peer SMAPs of other processors. The expert system will be tuned by augmenting the production rules as the operation is going on, and its performance will be measured.

  17. Knowledge-based fragment binding prediction.

    Tang, Grace W; Altman, Russ B

    2014-04-01

    Target-based drug discovery must assess many drug-like compounds for potential activity. Focusing on low-molecular-weight compounds (fragments) can dramatically reduce the chemical search space. However, approaches for determining protein-fragment interactions have limitations. Experimental assays are time-consuming, expensive, and not always applicable. At the same time, computational approaches using physics-based methods have limited accuracy. With increasing high-resolution structural data for protein-ligand complexes, there is now an opportunity for data-driven approaches to fragment binding prediction. We present FragFEATURE, a machine learning approach to predict small molecule fragments preferred by a target protein structure. We first create a knowledge base of protein structural environments annotated with the small molecule substructures they bind. These substructures have low-molecular weight and serve as a proxy for fragments. FragFEATURE then compares the structural environments within a target protein to those in the knowledge base to retrieve statistically preferred fragments. It merges information across diverse ligands with shared substructures to generate predictions. Our results demonstrate FragFEATURE's ability to rediscover fragments corresponding to the ligand bound with 74% precision and 82% recall on average. For many protein targets, it identifies high scoring fragments that are substructures of known inhibitors. FragFEATURE thus predicts fragments that can serve as inputs to fragment-based drug design or serve as refinement criteria for creating target-specific compound libraries for experimental or computational screening. PMID:24762971

  18. DEVELOPMENT OF INTEGRATED CATTLE GENOMICS KNOWLEDGE BASE

    Minja Zorc

    2015-09-01

    Full Text Available Systems biology approaches being applied to animal breeding represent an opportunity to derive greater benefits from animal production systems. The increasingly detailed investigations in systems biology have led to a large amount of data dispersed over various sources; therefore, a centralized knowledge base is in demand. In this study, we have integrated cattle genomics data of heterogeneous sources and types and developed a bioinformatics tool to study genotype-phenotype associations in cattle: http://integromics-time.com/integromics-database/. The tool enables revealing genomic overlaps within trait-associated loci and identification of potential functional candidates. It might be also used as a tool for planning genotype– phenotype research in cattle.

  19. Neighborhood Mixture Model for Knowledge Base Completion

    Nguyen, Dat Quoc; Sirts, Kairit; Qu, Lizhen; Johnson, Mark

    2016-01-01

    Knowledge bases are useful resources for many natural language processing tasks, however, they are far from complete. In this paper, we define a novel entity representation as a mixture of its neighborhood in the knowledge base and apply this technique on TransE-a well-known embedding model for knowledge base completion. Experimental results show that the neighborhood information significantly helps to improve the results of the TransE, leading to better performance than obtained by other sta...

  20. The New Economy- Knowledge Based Economy

    Marin, Carmen

    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 ...

  1. 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.

  2. 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.

  3. Knowledge-based operator guidance system for Japanese PWRs

    A knowledge-based operator support system for nuclear power plant operation is under development. The main theme of the study is the incorporation of operator's cognitive structure as the framework of the knowledge representation and inference control mechanisms. Based upon information collected from interviews, and experiments using a real-time simulator, an operator's model related to diagnostic tasks was developed. A knowledge-based system incorporating the proposed model demonstrated highly efficient problem solving capabilities and the dynamic fitness to operator's perceptual feeling, thereby suggesting the potential importance and practical benefit of such a study

  4. A Knowledge-Based System Developer for aerospace applications

    Shi, George Z.; Wu, Kewei; Fensky, Connie S.; Lo, Ching F.

    1993-01-01

    A prototype Knowledge-Based System Developer (KBSD) has been developed for aerospace applications by utilizing artificial intelligence technology. The KBSD directly acquires knowledge from domain experts through a graphical interface then builds expert systems from that knowledge. This raises the state of the art of knowledge acquisition/expert system technology to a new level by lessening the need for skilled knowledge engineers. The feasibility, applicability , and efficiency of the proposed concept was established, making a continuation which would develop the prototype to a full-scale general-purpose knowledge-based system developer justifiable. The KBSD has great commercial potential. It will provide a marketable software shell which alleviates the need for knowledge engineers and increase productivity in the workplace. The KBSD will therefore make knowledge-based systems available to a large portion of industry.

  5. Efficient Knowledge Base Management in DCSP

    Jiang, Hong

    2010-01-01

    DCSP (Distributed Constraint Satisfaction Problem) has been a very important research area in AI (Artificial Intelligence). There are many application problems in distributed AI that can be formalized as DSCPs. With the increasing complexity and problem size of the application problems in AI, the required storage place in searching and the average searching time are increasing too. Thus, to use a limited storage place efficiently in solving DCSP becomes a very important problem, and it can help to reduce searching time as well. This paper provides an efficient knowledge base management approach based on general usage of hyper-resolution-rule in consistence algorithm. The approach minimizes the increasing of the knowledge base by eliminate sufficient constraint and false nogood. These eliminations do not change the completeness of the original knowledge base increased. The proofs are given as well. The example shows that this approach decrease both the new nogoods generated and the knowledge base greatly. Thus...

  6. 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.

  7. 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)

  8. Automatic Knowledge Base Evolution by Learning Instances

    Kim, Sundong

    2016-01-01

    Knowledge base is the way to store structured and unstructured data throughout the web. Since the size of the web is increasing rapidly, there are huge needs to structure the knowledge in a fully automated way. However fully-automated knowledge-base evolution on the Semantic Web is a major challenges, although there are many ontology evolution techniques available. Therefore learning ontology automatically can contribute to the semantic web society significantly. In this paper, we propose ful...

  9. Knowledge bases in medicine: a review.

    Perry, C. A.

    1990-01-01

    Efforts to represent knowledge effectively have been central to progress in various aspects of medical informatics. These efforts range from relatively simple "electronic textbooks" to fairly sophisticated knowledge-based systems, which function as well as, or even better than, human experts faced with similar problems. Knowledge bases have been developed in many fields, but the relatively limited domains and structured language of medicine, as well as the importance of information in the pro...

  10. 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.

  11. PREMISES OF KNOWLEDGE BASED ECONOMY IN ROMANIA

    Alexandru-Emil POPA

    2013-01-01

    In order to establish the premises of knowledge based economy (KBE) in Romania we have to measure the inputs of knowledge. This study is presenting the stage of transition at knowledge-based economy of Romania by measuring four important indicators: research and development expenditures as percentage of GDP, human resources in science and technology as a share of labor force, the number of patents filled at the European Patent Office or under the European Patent Convention and the volume of h...

  12. The New Economy- Knowledge Based Economy

    Carmen MARIN

    2007-01-01

    Full Text Available The aim of this paper is to emphasize the importance of knowledgebased 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 themain knowledge codification. In the end of the paper, the author presents the importance of economy knowledge, in Romanian organizations.

  13. 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.

  14. Knowledge Based Company– a Theoretical Approach

    Cuºu Dorinela

    2011-01-01

    In a stable economic environment, the change may be slow, and the organization would have time to react and maintain its competitive advantages. In contrast in a knowledge-based economy, the economic environment changes rapidly and the response is not the best alternative; in order to succeed, the organizations must be proactive, to anticipate, to be directed towards learning and permanently development. The main resource of a knowledge-based company is the knowledge. This company is focused ...

  15. Measuring Inconsistency in Probabilistic Knowledge Bases

    Thimm, Matthias

    2012-01-01

    This paper develops an inconsistency measure on conditional probabilistic knowledge bases. The measure is based on fundamental principles for inconsistency measures and thus provides a solid theoretical framework for the treatment of inconsistencies in probabilistic expert systems. We illustrate its usefulness and immediate application on several examples and present some formal results. Building on this measure we use the Shapley value-a well-known solution for coalition games-to define a sophisticated indicator that is not only able to measure inconsistencies but to reveal the causes of inconsistencies in the knowledge base. Altogether these tools guide the knowledge engineer in his aim to restore consistency and therefore enable him to build a consistent and usable knowledge base that can be employed in probabilistic expert systems.

  16. Knowledge based diagnostics in nuclear power plants

    In the paper to be given a special process diagnostic system (PDS) will be presented, taking into account corresponding user experiences. It must be seen the result of a long term work on computerized process surveillance and control on NPP; it includes a model based system for noise analysis of mechanical vibrations, which has been enhanced by using of knowledge based technique (expert systems). The paper will discuss the process diagnostic frame concept and emphasize the vibration analysis expertsystem RADEX, with the parts modelling (building a knowledge base), man-machine communication aspects, implementation. (author). 5 refs, 5 figs

  17. Information modelling and knowledge bases XXV

    Tokuda, T; Jaakkola, H

    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

  18. 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.

  19. Collaboration as a form of knowledge-based economy organization

    Oleg Vasilyevich Inshakov

    2013-09-01

    Full Text Available The object field of knowledge-based economy is formed by appropriate real system of relations in production, distribution, exchange, and consumption reflecting its innovative and creative character. The variety of forms of institutions, organizations, and information are becoming the factors of the structuring, functioning, and evolving of knowledge-based economy in a global scale. Collaboration is attracting more and more attention from both researchers and experts in economics, politics, law, sociology, culture as a fast emerging and efficient but underexplored form of relations among subjects of knowledge-based economy. Collaboration is an appropriate to the nature of knowledge-based economy form of cooperation, which is detailed according to its subjects, objects, levels, and scale, spheres and industries, sectors and segments. Collaboration provides both intensive and extensive development of VI technological mode creating totally new types and generations of products and services. The diversity of local and regional, inter-firm and international forms of collaboration is accelerating in all spheres of global economy. Despite over simplifying, contemporary science has to think over the essence and evolutionary potential of collaboration as well as to work out justified recommendations for the practice.

  20. The Knowledge Bases of the Expert Teacher.

    Turner-Bisset, Rosie

    1999-01-01

    Presents a model for knowledge bases for teaching that will act as a mental map for understanding the complexity of teachers' professional knowledge. Describes the sources and evolution of the model, explains how the model functions in practice, and provides an illustration using an example of teaching in history. (CMK)

  1. Knowledge-based support for a physician's workstation.

    Stanton, W. M.; Tang, P. C.

    1991-01-01

    We describe knowledge-based support for a Physician's Workstation prototype. Our knowledge base uses a qualitative simulation model of patient physiology. We present the motivation behind our design, discuss the components of the knowledge base, and show how the knowledge base supports a physician's workstation in the patient management process. We describe a graphical knowledge base editor used by the domain expert for knowledge acquisition, and a graphical knowledge base presenter which mon...

  2. The EDKB: an established knowledge base for endocrine disrupting chemicals

    Bearden Edward D; Harris Steve; Perkins Roger; Hong Huixiao; Fang Hong; Xu Lei; Ding Don; Shi Leming; Tong Weida

    2010-01-01

    Abstract Background Endocrine disruptors (EDs) and their broad range of potential adverse effects in humans and other animals have been a concern for nearly two decades. Many putative EDs are widely used in commercial products regulated by the Food and Drug Administration (FDA) such as food packaging materials, ingredients of cosmetics, medical and dental devices, and drugs. The Endocrine Disruptor Knowledge Base (EDKB) project was initiated in the mid 1990’s by the FDA as a resource for the ...

  3. Knowledge-based machine indexing from natural language text: Knowledge base design, development, and maintenance

    Genuardi, Michael T.

    1993-01-01

    One strategy for machine-aided indexing (MAI) is to provide a concept-level analysis of the textual elements of documents or document abstracts. In such systems, natural-language phrases are analyzed in order to identify and classify concepts related to a particular subject domain. The overall performance of these MAI systems is largely dependent on the quality and comprehensiveness of their knowledge bases. These knowledge bases function to (1) define the relations between a controlled indexing vocabulary and natural language expressions; (2) provide a simple mechanism for disambiguation and the determination of relevancy; and (3) allow the extension of concept-hierarchical structure to all elements of the knowledge file. After a brief description of the NASA Machine-Aided Indexing system, concerns related to the development and maintenance of MAI knowledge bases are discussed. Particular emphasis is given to statistically-based text analysis tools designed to aid the knowledge base developer. One such tool, the Knowledge Base Building (KBB) program, presents the domain expert with a well-filtered list of synonyms and conceptually-related phrases for each thesaurus concept. Another tool, the Knowledge Base Maintenance (KBM) program, functions to identify areas of the knowledge base affected by changes in the conceptual domain (for example, the addition of a new thesaurus term). An alternate use of the KBM as an aid in thesaurus construction is also discussed.

  4. Educational Policies in Knowledge Based Society

    Tomita CIULEI

    2013-12-01

    Full Text Available The actual number – Volume 5, Issue 2, December 2013 – hosts the theme of “Educational Policies in the Knowledge Based Society”. The current issue of the journal falls in science education and educational policies as part of the social sciences field, including both theoretical articles and empirical research results. In the context of the knowledge based society we refer to the two major dimensions of educational policy: macro size, regarding the impact of systemic changes induced transformation of the legal framework of the system of financing education and research, of national programs related to education, research, youth, etc. on the one hand, and to micro size on the politics of sectoral actors represented by Universities, NGOs and other institutions providing education.

  5. One knowledge base or many knowledge pools?

    Lundvall, Bengt-Åke

    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.......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...

  6. Automated annual cropland mapping using knowledge-based temporal features

    Waldner, François; Canto, Guadalupe Sepulcre; Defourny, Pierre

    2015-12-01

    Global, timely, accurate and cost-effective cropland mapping is a prerequisite for reliable crop condition monitoring. This article presented a simple and comprehensive methodology capable to meet the requirements of operational cropland mapping by proposing (1) five knowledge-based temporal features that remain stable over time, (2) a cleaning method that discards misleading pixels from a baseline land cover map and (3) a classifier that delivers high accuracy cropland maps (> 80%). This was demonstrated over four contrasted agrosystems in Argentina, Belgium, China and Ukraine. It was found that the quality and accuracy of the baseline impact more the certainty of the classification rather than the classification output itself. In addition, it was shown that interpolation of the knowledge-based features increases the stability of the classifier allowing for its re-use from year to year without recalibration. Hence, the method shows potential for application at larger scale as well as for delivering cropland map in near real time.

  7. MOBILE APPLICATIONS AS KNOWLEDGE-BASED PRODUCTS

    Krzysztof Kubiak

    2015-01-01

    High-tech industry has been stimulating economic development, providing the market with innovative information and communication technologies. Some of these include mobile technologies, mainly associated with the use of Smartphones and tablets. Mobile devices run various types of software called applications. The purpose of this article is to evaluate a selection of Polish mobile applications in the context of their features typical for knowledge-based products. Such products carry knowledge ...

  8. Knowledge-based system for manufacturing sustainability

    Giovannini, Antonio; Aubry, Alexis; Panetto, Hervé; Dassisti, Michele; El Haouzi, Hind

    2012-01-01

    Today, sustainability becomes one of the biggest challenges. It represents a key issue in every production activity. To face this issue, a possible solution is to enhance knowledge usage in manufacturing and sustainability domains. In this paper, we extend the ONTO-PDM ontology for formalizing sustainable manufacturing knowledge. An industrial case is presented for instantiating the extension. Moreover we design a knowledge-based system, which exploits sustainable manufacturing knowledge for ...

  9. THE KNOWLEDGE BASED ECONOMY AND KNOWLEDGE MANAGEMENT

    Lupsa Dana; Constantin Sanda

    2007-01-01

    For the past years, information and knowledge are replacing capital and energy as the primary wealth-creating assets, generating a new type of economy, and called knowledge based economy (KBE), within knowledge management is the main instrument for the companies to obtain competitive advantage. Given the goal of EU established at Lisbon and the perspective of Romania’s accession to EU, Romanian companies must align their management practices with knowledge management in order to survive on a ...

  10. ORGANIZATIONAL CHANGE IN KNOWLEDGE-BASED FIRM

    Vladimir-Codrin IONESCU; Viorel CORNESCU

    2011-01-01

    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 manag...

  11. The Ontology of Knowledge Based Optimization

    Nasution, Mahyuddin K. M.

    2012-01-01

    Optimization has been becoming a central of studies in mathematic and has many areas with different applications. However, many themes of optimization came from different area have not ties closing to origin concepts. This paper is to address some variants of optimization problems using ontology in order to building basic of knowledge about optimization, and then using it to enhance strategy to achieve knowledge based optimization.

  12. 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.

  13. Knowledge base of Nusselt number correlations

    This knowledge base was designed to identify various Nusselt Numbers given certain conditions and restrictions. The main criterion that was used in classifying them was the geometry of the flow. From these, the program then preceded to separate correlations by forced vs. free convection, laminar vs. turbulent flow, fully developed regimes vs. entrance regimes, constant wall temperature vs. constant wall flux, and different fluid types. Finally, the individual cases were classified according to particular ranges of Re, Pr, Pe, L/D ratio, etc. After this thorough search and elimination, the correct Nusselt Number was displayed

  14. Building a Knowledge Base from Learning Objects

    Fredlund, Per Kristen

    2005-01-01

    The goal of this thesis has been to investigate if it is possible to develop a knowledge structure,knowledge base, based on learning objects. In this connection a learning object is a digital unitwhich should, as a minimum, contain a picture and some text. Most likely a learning objectwould function as a container with anchors for video, animations and links to html-pages.For every learning object there exists a textual description. If we consider the learning object asan overhead presented i...

  15. 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.

  16. A knowledge based software engineering environment testbed

    Gill, C.; Reedy, A.; Baker, L.

    1985-01-01

    The Carnegie Group Incorporated and Boeing Computer Services Company are developing a testbed which will provide a framework for integrating conventional software engineering tools with Artifical Intelligence (AI) tools to promote automation and productivity. The emphasis is on the transfer of AI technology to the software development process. Experiments relate to AI issues such as scaling up, inference, and knowledge representation. In its first year, the project has created a model of software development by representing software activities; developed a module representation formalism to specify the behavior and structure of software objects; integrated the model with the formalism to identify shared representation and inheritance mechanisms; demonstrated object programming by writing procedures and applying them to software objects; used data-directed and goal-directed reasoning to, respectively, infer the cause of bugs and evaluate the appropriateness of a configuration; and demonstrated knowledge-based graphics. Future plans include introduction of knowledge-based systems for rapid prototyping or rescheduling; natural language interfaces; blackboard architecture; and distributed processing

  17. 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...... user-friendly system that provides links to other relevant resources such as ERGDB, UniGene, Entrez Gene, HomoloGene, GO, eVOC and GenBank, and thus offers a platform for functional exploration and potential annotation of genes responsive to estrogen. KBERG database can be accessed at http...

  18. Modeling Guru: Knowledge Base for NASA Modelers

    Seablom, M. S.; Wojcik, G. S.; van Aartsen, B. H.

    2009-05-01

    Modeling Guru is an on-line knowledge-sharing resource for anyone involved with or interested in NASA's scientific models or High End Computing (HEC) systems. Developed and maintained by the NASA's Software Integration and Visualization Office (SIVO) and the NASA Center for Computational Sciences (NCCS), Modeling Guru's combined forums and knowledge base for research and collaboration is becoming a repository for the accumulated expertise of NASA's scientific modeling and HEC communities. All NASA modelers and associates are encouraged to participate and provide knowledge about the models and systems so that other users may benefit from their experience. Modeling Guru is divided into a hierarchy of communities, each with its own set forums and knowledge base documents. Current modeling communities include those for space science, land and atmospheric dynamics, atmospheric chemistry, and oceanography. In addition, there are communities focused on NCCS systems, HEC tools and libraries, and programming and scripting languages. Anyone may view most of the content on Modeling Guru (available at http://modelingguru.nasa.gov/), but you must log in to post messages and subscribe to community postings. The site offers a full range of "Web 2.0" features, including discussion forums, "wiki" document generation, document uploading, RSS feeds, search tools, blogs, email notification, and "breadcrumb" links. A discussion (a.k.a. forum "thread") is used to post comments, solicit feedback, or ask questions. If marked as a question, SIVO will monitor the thread, and normally respond within a day. Discussions can include embedded images, tables, and formatting through the use of the Rich Text Editor. Also, the user can add "Tags" to their thread to facilitate later searches. The "knowledge base" is comprised of documents that are used to capture and share expertise with others. The default "wiki" document lets users edit within the browser so others can easily collaborate on the

  19. 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).

  20. Knowledge-based computer security advisor

    The rapid expansion of computer security information and technology has included little support to help the security officer identify the safeguards needed to comply with a policy and to secure a computing system. This paper reports that Los Alamos is developing a knowledge-based computer security system to provide expert knowledge to the security officer. This system includes a model for expressing the complex requirements in computer security policy statements. The model is part of an expert system that allows a security officer to describe a computer system and then determine compliance with the policy. The model contains a generic representation that contains network relationships among the policy concepts to support inferencing based on information represented in the generic policy description

  1. A display to support knowledge based behavior

    This paper reports on a computerized display that has been created for the Experimental Breeder Reactor II that incorporates information from plant sensors in a thermodynamic model display. The display is designed to provide an operator with an overall view of the plant process as a heat engine. The thermodynamics of the plant are depicted through the use of iconic figures, animated by plant signals, that are related to the major plant components and systems such as the reactor, intermediate heat exchanger, secondary system, evaporators, superheaters, steam system, steam drum, and turbine-generator. This display supports knowledge based reasoning for the operator as well as providing data for the traditional rule and skill based behavior, and includes side benefits such as inherent signal validation

  2. 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...

  3. THE KNOWLEDGE-BASED SOCIETY AND THE MANAGERIAL REVOLUTION

    PLUMB Ion; ZAMFIR Andreea

    2010-01-01

    The topic of the knowledge-based society and its implications on management is highly debated nowadays. Therefore, the aim of this study is to identify the logical connections between the knowledge-based society and the managerial revolution. The findings of this study reveal that the knowledge- based society and, more specifically, the knowledge-based economy, along with their main features and requirements regarding people’s competences and skills, have a major influence on management, whet...

  4. Managing Service Quality within the Knowledge-Based Economy: Opportunities and Challenges

    Ion Plumb; Andreea Zamfir

    2009-01-01

    The knowledge-based economy, along with the impact of information society technologies, presents the service organizations and their customers with many potential opportunities as well as challenges. Therefore, this study explores how the knowledge-based economy could influence the quality management of service organizations. The study reveals that the actors within the service sector have vast new opportunities in terms of communication and value co-creation, but in the same time, the requir...

  5. 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.

  6. Knowledge based systems for condition monitoring

    McDonald, J.R.; Burt, G.M.; Moyes, A.

    1997-12-31

    A key issue in the operation of power system plant is deriving maximum financial benefit while staying within technical, contractual and regulatory constraints. Moreover, the capital investment required for much power system plant necessitates high levels of plant availability to make a reasonable rate-of-return. Thus, the minimisation of operational costs resulting from unplanned plant outages, unnecessary maintenance and under-utilisation of plant capabilities has become a core objective of power system plant operation. Rationalisation of power system control functions has resulted in the use of centralised control rooms from which large and complex power systems are operated. Extensive measurement, monitoring and control systems have been developed which provide operators with data from which power system plant behaviour can be evaluated. However, in the event of a serious operational incident, significant amounts of data are generated. Under such circumstances it has been found that operators are inhibited in assessing the situation, and hence the effectiveness of the subsequent operational response can be reduced. The role of knowledge based systems (KBSs) in condition monitoring is to support operational decision making through the provision of timely and focused information. (Author)

  7. Knowledge Based Design of Axial Flow Compressor

    Dinesh kumar.R

    2015-05-01

    Full Text Available In the aerospace industry with highly competitive market the time to design and delivery is shortening every day. Pressure on delivering robust product with cost economy is in demand in each development. Even though technology is older, it is new for each customer requirement and highly non-liner to fit one in another place. Gas turbine is considered one of a complex design in the aircraft system. It involves experts to be grouped with designers of various segments to arrive the best output. The time is crucial to achieve a best design and it needs knowledge automation incorporated with CAD/CAE tools. In the present work an innovative idea in the form of Knowledge Based Engineering for axial compressor is proposed, this includes the fundamental design of axial compressor integrated with artificial intelligence in the form of knowledge capturing and programmed with high level language (Visual Basis.Net and embedded into CATIA v5. This KBE frame work eases out the design and modeling of axial compressor design and produces 3D modeling for further flow simulation with fluid dynamic in Ansys-Fluent. Most of the aerospace components are developed through simulation driven product development and in this case it is established for axial compressor.

  8. IGENPRO knowledge-based operator support system

    Research and development is being performed on the knowledge-based IGENPRO operator support package for plant transient diagnostics and management to provide operator assistance during off-normal plant transient conditions. A generic thermal-hydraulic (T-H) first-principles approach is being implemented using automated reasoning, artificial neural networks and fuzzy logic to produce a generic T-H system-independent/plant-independent package. The IGENPRO package has a modular structure composed of three modules: the transient trend analysis module PROTREN, the process diagnostics module PRODIAG and the process management module PROMANA. Cooperative research and development work has focused on the PRODIAG diagnostic module of the IGENPRO package and the operator training matrix of transients used at the Braidwood Pressurized Water Reactor station. Promising simulator testing results with PRODIAG have been obtained for the Braidwood Chemical and Volume Control System (CVCS), and the Component Cooling Water System. Initial CVCS test results have also been obtained for the PROTREN module. The PROMANA effort also involves the CVCS. Future work will be focused on the long-term, slow and mild degradation transients where diagnoses of incipient T-H component failure prior to forced outage events is required. This will enhance the capability of the IGENPRO system as a predictive maintenance tool for plant staff and operator support

  9. 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.

  10. Knowledge-based approach to system integration

    Blokland, W.; Krishnamurthy, C.; Biegl, C.; Sztipanovits, J.

    1988-01-01

    To solve complex problems one can often use the decomposition principle. However, a problem is seldom decomposable into completely independent subproblems. System integration deals with problem of resolving the interdependencies and the integration of the subsolutions. A natural method of decomposition is the hierarchical one. High-level specifications are broken down into lower level specifications until they can be transformed into solutions relatively easily. By automating the hierarchical decomposition and solution generation an integrated system is obtained in which the declaration of high level specifications is enough to solve the problem. We offer a knowledge-based approach to integrate the development and building of control systems. The process modeling is supported by using graphic editors. The user selects and connects icons that represent subprocesses and might refer to prewritten programs. The graphical editor assists the user in selecting parameters for each subprocess and allows the testing of a specific configuration. Next, from the definitions created by the graphical editor, the actual control program is built. Fault-diagnosis routines are generated automatically as well. Since the user is not required to write program code and knowledge about the process is present in the development system, the user is not required to have expertise in many fields.

  11. 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

  12. Knowledge base verification based on enhanced colored petri net

    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 importatn 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

  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. Toward a Category Theory Design of Ontological Knowledge Bases

    Glazunov, Nikolaj

    2009-01-01

    I discuss (ontologies_and_ontological_knowledge_bases / formal_methods_and_theories) duality and its category theory extensions as a step toward a solution to Knowledge-Based Systems Theory. In particular I focus on the example of the design of elements of ontologies and ontological knowledge bases of next three electronic courses: Foundations of Research Activities, Virtual Modeling of Complex Systems and Introduction to String Theory.

  16. Reflections on Communication Culture in the Knowledge-Based Economy

    Manoela Popescu

    2012-01-01

    Known is that the pillars of the knowledge-based economy are information, connection of information and communication. Complexity of the processes taking place in the knowledge-based economy and structural changes posed by this leads to highlighting required versatility and increased ambiguity in terms of both information and communication. This is because knowledge-based economy is not limiting his horizons, but rather help to build content and communication complexity. Thus, in the digital ...

  17. Integration of an object knowledge base into a medical workstation.

    Timmers, T.; van Mulligen, E. M.; van den Heuvel, F.

    1991-01-01

    A simple, yet powerful, knowledge base and its development environment is described that can act as a "knowledge server", integrated into a medical workstation. In many areas, such an integration of a knowledge base with other modules and systems is required, but difficult or impossible to achieve with existing commercial development shells. Three applications of the knowledge base are described: a controlled vocabulary for the classification of Congenital Heart Diseases, an extended data mod...

  18. 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 the World Bank Knowledge Index (KI) and Knowledge Economy Index (KEI) and other indicators often used in the international literature to examine progress in transition to a knowledge-based economy ...

  19. Investigating fundamentals of knowledge based economy using grounded theory

    Asadollah Kordnaeij; Mohsen Ebrahimi; Lotfollah Forozandeh Dehkordi; Ali Asghar Fani

    2014-01-01

    During the past few years, knowledge has played essential role for development of economy. As a result, a new concept of knowledge based economy has been developed. Knowledge based economy is responsible for creating wealth through exploring knowledge. In new millennium, knowledge has made significant impact on socio-economic changes. The proposed study of this paper performs an empirical investigation to determine fundamentals of knowledge based economy in Iran using grounded theory. The stu...

  20. Advanced software development workstation. Knowledge base design: Design of knowledge base for flight planning application

    Izygon, Michel E.

    1992-01-01

    The development process of the knowledge base for the generation of Test Libraries for Mission Operations Computer (MOC) Command Support focused on a series of information gathering interviews. These knowledge capture sessions are supporting the development of a prototype for evaluating the capabilities of INTUIT on such an application. the prototype includes functions related to POCC (Payload Operation Control Center) processing. It prompts the end-users for input through a series of panels and then generates the Meds associated with the initialization and the update of hazardous command tables for a POCC Processing TLIB.

  1. A method of knowledge base verification for nuclear power plant expert systems using extended Petri Nets

    The adoption of expert systems mainly as operator supporting systems is becoming increasingly popular as the control algorithms of system become more and more sophisticated and complicated. The verification phase of knowledge base is an important part for developing reliable expert systems, especially in nuclear industry. Although several strategies or tools have been developed to perform potential error checking, they often neglect the reliability of verification methods. Because a Petri net provides a uniform mathematical formalization of knowledge base, it has been employed for knowledge base verification. In this work, we devise and suggest an automated tool, called COKEP(Checker of Knowledge base using Extended Petri net), for detecting incorrectness, inconsistency, and incompleteness in a knowledge base. The scope of the verification problem is expended to chained errors, unlike previous studies that assume error incidence to be limited to rule pairs only. In addition, we consider certainty factor in checking, because most of knowledge bases have certainly factors. 8 refs,. 2 figs,. 4 tabs. (author)

  2. 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

  3. Semantic Knowledge Bases from Web Sources

    Fabian Suchanek; Martin Theobald; Gerhard Weikum; Hady Lauw; Ralf Schenkel

    2011-01-01

    The Web bears the potential of being the world's greatest encyclopedic source, but we are far from fully ex- ploiting this potential. Valuable scientific and cultural content is interspersed with a huge amount of noisy, low- quality, unstructured text and media. The proliferation of knowledge-sharing communities like Wikipedia and the advances in automated information extraction from Web pages give rise to an unprecedented opportunity: Can we systematically harvest facts from the Web and comp...

  4. 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)

  5. EMERGENCE AND ADAPTATION IN KNOWLEDGE-BASED SYSTEMS

    Iulia MÃRIEª

    2010-01-01

    The main objective of the paper is to highlight the characteristics of knowledge-based systems and to present the concept „community of practice” in the context of knowledge-based economy. The paper addresses the new trends and challenges of knowledge dynamics within communities of practice and examines the emergence of this type of communities.

  6. CHANGES AND CHALLENGES OF THE CONTEMPORARY KNOWLEDGE BASED ECONOMY

    TODERICIU Ramona; FRATICIU Lucia

    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.

  7. 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

  8. The Sixth Annual Knowledge-Based Software Engineering Conference

    Selfridge, Peter G.

    1992-01-01

    The Sixth Annual Knowledge-Based Software Engineering Conference (KBSE-91) was held at the Sheraton University Inn and Conference Center in Syracuse, New York, from Sunday afternoon, 22 September, through midday Wednesday, 25 September. The KBSE field is concerned with applying knowledge-based AI techniques to the problems of creating, understanding, and maintaining very large software systems.

  9. 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.

  10. Update Knowledge Base for Long-term Core Cooling Reliability

    This revision of the Knowledge Base for Emergency Core Cooling System Recirculation Reliability (NEA/CSNI/R (95)11) describes the current status (late 2012) of the knowledge base on emergency core cooling system (ECCS) and containment spray system (CSS) suction strainer performance and long-term cooling in operating power reactors. New reactors, such as the AP1000, EPR and APR1400 that are under construction in some Organization for Economic Co-operation and Development (OECD) member countries, are not addressed in detail in this revision. The containment sump (also known as the emergency or recirculation sump in pressurized water reactors (PWRs) and pressurized heavy water reactors (PHWRs) or the suppression pools or wet wells in boiling water reactors (BWRs)) and associated ECCS strainers are parts of the ECCS in both reactor types. All nuclear power plants (NPPs) are required to have an ECCS that is capable of mitigating a design basis accident (DBA). The containment sump collects reactor coolant, ECCS injection water, and containment spray solutions, if applicable, after a loss-of-coolant accident (LOCA). The sump serves as the water source to support long-term recirculation for residual heat removal, emergency core cooling, and containment atmosphere clean-up. This water source, the related pump suction inlets, and the piping between the source and inlets are important safety-related components. In addition, if fibrous material is deposited at the fuel element spacers, core cooling can be endangered. The performance of ECCS/CSS strainers was recognized many years ago as an important regulatory and safety issue. One of the primary concerns is the potential for debris generated by a jet of high-pressure coolant during a LOCA to clog the strainer and obstruct core cooling. The issue was considered resolved for all reactor types in the mid-1990s and the OECD/NEA/CSNI published report NEA/CSNI/R(95)11 in 1996 to document the state of knowledge of ECCS performance

  11. Explicating Knowledge-based Competitive Advantage

    Karim Moustaghfir

    2012-01-01

    Purpose – Explaining how knowledge assets provide firms with a competitive advantage and show how organizational capabilities have the potential to produce long-term superior performance. Paper Category – Research Paper and Case Study. Design/Methodology/Approach – Systematic literature review and in-depth single case study. Findings – Knowledge assets through different learning mechanisms and effective knowledge management processes are bundled, linked, incorporated, converted, organized, an...

  12. Analysis of Russia's biofuel knowledge base: A comparison with Germany and China

    This study assesses the evolutionary trajectory of the knowledge base of Russian biofuel technology compared to that of Germany, one of the successful leaders in adopting renewable energy, and China, an aggressive latecomer at promoting renewable energy. A total of 1797 patents filed in Russia, 8282 in Germany and 20,549 in China were retrieved from the European Patent Office database through 2012. We identify four collectively representative measures of a knowledge base (size, growth, cumulativeness, and interdependence), which are observable from biofuel patent citations. Furthermore, we define the exploratory–exploitative index, which enables us to identify the nature of learning embedded in the knowledge base structure. Our citation network analysis of the biofuel knowledge base trajectory by country, in conjunction with policy milestones, shows that Russia's biofuel knowledge base lacks both the increasing technological specialization of that in Germany and the accelerated growth rate of that in China. The German biofuel citation network shows a well-established knowledge base with increasing connectivity, while China's has grown exceptionally fast but with a sparseness of citations reflecting limited connections to preceding, foundational technologies. We conclude by addressing policy implications as well as limitations of the study and potential topics to explore in future research. -- Highlights: •Biofuel knowledge base (KB) of Russia is compared to those of Germany and China. •Citations network analysis measures KB size, growth, cumulativeness, and interdependence. •Russian KB lacks the increasing technological specialization of German KB. •Russia KB lacks the accelerated growth rate of Chinese KB. •Russia KB evolution reflects the poor institutional framework

  13. 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.

  14. 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.

  15. 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…

  16. 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.

  17. 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...

  18. 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

  19. 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.

  20. COMPETITIVE INTELLIGENCE IN THE KNOWLEDGE-BASED ORGANISATION

    Alina HAGIU; Marinela TANASCOVICI

    2013-01-01

    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 remai...

  1. Conflict Resolution of Chinese Chess Endgame Knowledge Base

    Chen, Bo-Nian; Liu, Pangfang; Hsu, Shun-Chin; Hsu, Tsan-Sheng

    Endgame heuristics are often incorperated as part of the evaluation function used in Chinese Chess programs. In our program, Contemplation, we have proposed an automatic strategy to construct a large set of endgame heuristics. In this paper, we propose a conflict resolution strategy to eliminate the conflicts among the constructed heuristic databases, which is called endgame knowledge base. In our experiment, the correctness of the obtained constructed endgame knowledge base is sufficiently high for practical usage.

  2. Knowledge-based Expressive Technologies within Cloud Computing Environments

    Sergey V. Kovalchuk; Smirnov, Pavel A.; Knyazkov, Konstantin V.; Zagarskikh, Alexander S.; Boukhanovsky, Alexander V.

    2013-01-01

    Presented paper describes the development of comprehensive approach for knowledge processing within e-Sceince tasks. Considering the task solving within a simulation-driven approach a set of knowledge-based procedures for task definition and composite application processing can be identified. This procedures could be supported by the use of domain-specific knowledge being formalized and used for automation purpose. Within this work the developed conceptual and technological knowledge-based to...

  3. On Knowledge Excavation Based on University Library Knowledge Base

    Ying Song

    2009-01-01

    Knowledge excavation is a new information processing technology. Nowadays, knowledge excavation has been widely applied to the university library management. Knowledge excavation in university library knowledge bases has already been playing an important role in improving the management of university libraries and inevitably will play a more profound role in the future. In this paper, the meaning of knowledge excavation in university library knowledge bases and other related issues are studie...

  4. KSBT: A Knowledge-based Systems Building Tool

    Bruno, Silvia; Dip. di Ingegneria Strutturale "La Sapienza"; Gavarini, Carlo; Dip. di Ingegneria Strutturale "La Sapienza"; Padula, Antonio; Istituto Nazionale di Geofisica e Vulcanologia, Sezione CNT, Roma, Italia; Vittori, Federico; Dip. di Ingegneria Strutturale "La Sapienza"

    1995-01-01

    The increasing interest in AI as a powerful aid in solving civil engineering problems has suggested the realization of a domain-independent tool for knowledge-based systems construction. The paper provides the description of a fuzzy inference engine, which has appropriately been developed in order to both build knowledge bases and to perform evaluations. Knowledge acquisition issues and approximate reasoning techniques are also illustrated and discussed.

  5. Discovering meta-paths in large knowledge bases

    Meng, Changping; 蒙昌平

    2014-01-01

    A knowledge base, such as Yago or DBpedia, can be modeled as a large graph with nodes and edges annotated with class and relationship labels. Recent work has studied how to make use of these rich information sources. In particular, meta-paths, which represent sequences of node classes and edge types between two nodes in a knowledge base, have been proposed for such tasks as information retrieval, decision making, and product recommendation. Current methods assume meta-paths are found by domai...

  6. Knowledge based query expansion in complex multimedia event detection

    Boer, M.H.T. de; Schutte, K.; Kraaij, W.

    2015-01-01

    A common approach in content based video information retrieval is to perform automatic shot annotation with semantic labels using pre-trained classifiers. The visual vocabulary of state-of-the-art automatic annotation systems is limited to a few thousand concepts, which creates a semantic gap between the semantic labels and the natural language query. One of the methods to bridge this semantic gap is to expand the original user query using knowledge bases. Both common knowledge bases such asW...

  7. From Traditional Accounting To Knowledge Based Accounting Organizations

    NICOLETA RADNEANTU; EMILIA GABROVEANU; ROXANA STAN

    2010-01-01

    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 ...

  8. 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.

  9. EDUCATION - THE CORNERSTONE OF KNOWLEDGE-BASED SOCIETY IN ROMANIA

    DENISA PARPANDEL

    2012-01-01

    The present paper examines the importance of education as a cornerstone to the knowledge-based society of future Europe and to its implementation in Romania. The aim herein is to outline that at present, in order for the society to meet the current needs and to lie the foundations of highly performing, receptive economy in terms of the specific requirements of ”knowledge-based society”, it must promote and implement new, modern management techniques, knowledge, and tools to support such activ...

  10. KNOWLEDGE SOCIETY, GENERAL FRAMEWORK FOR KNOWLEDGE BASED ECONOMY

    Dragos CRISTEA; Matei, Daniela

    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 ...

  11. 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.

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

    Slota, Martin; Leite, João; 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, ...

  13. Competitiveness of knowledge-based economies. Suggestion for measuring

    Malgorzata Madrak-Grochowska

    2013-01-01

    The present paper focuses on a presentation of four pillars of knowledge, occurring as the sources of competitive advantage for knowledge-based economies, and on the construction of taxonomic measure for assessing competitiveness’ degree of 29 this type economies in 2000-2010. To build this taxonomic measure, author used 21 diagnostic variables representing four areas of knowledge-based economies’ competitiveness, i.e. the system of economic incentives and institutional regime, well educated ...

  14. 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.

  15. Role of Knowledge Based Communities in Knowledge Process

    Sebastian Ion CEPTUREANU; Eduard Gabriel CEPTUREANU

    2015-01-01

    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 t...

  16. Intellectual property rights in a knowledge-based economy

    Cowan, R.; Harison, E.

    2001-01-01

    Intellectual property rights (IPR) have been created as economic mechanisms to facilitate ongoing innovation by granting inventors a temporary monopoly in return for disclosure of technical know-how. Since the beginning of 1980s, IPR have come under scrutiny as new technological paradigms appeared with the emergence of knowledge-based industries. Knowledge-based products are intangible, non-excludable and non-rivalrous goods. Consequently, it is difficult for their creators to control their d...

  17. Active Knowledge: Dynamically Enriching RDF Knowledge Bases by Web Services

    Nicoleta Preda; Gjergji Kasneci; Fabian Suchanek; Thomas Neumann; Wenjun Yuan; Gerhard Weikum. Active Knowledge

    2010-01-01

    The proliferation of knowledge-sharing communities and the advances in information extraction have enabled the construction of large knowledge bases using the RDF data model to represent entities and relationships. However, as the Web and its latently embedded facts evolve, a knowledge base can never be complete and up-to-date. On the other hand, a rapidly increasing suite of Web services provide access to timely and high-quality information, but this is encapsulated by the service interface....

  18. 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.

  19. Knowledge base system visualization reasoning model based on ICON

    Chen, Deyun; Pei, Shujun; Quan, Zhiying

    2005-03-01

    Knowledge base system is one of the most future branches for artificial intelligence facing with practical application. But the reasoning process of system is invisible, not visual and users cannot intervene the reasoning process, therefore for users the system is only a black box. This condition causes many users to take a suspicious attitude to the conclusions analyzing and drawing from the system, that means even though the system has the explanation function, but it is still not far enough. If we adopt graph or image technique to display this reasoning procedure interactively and dynamically which can make this procedure be visual, users can intervene the reasoning procedure which can greatly reduce users" gain giving, and at the same time it can provide a given method for integrity check to knowledge of the knowledge base. Therefore, we can say that reasoning visualization of knowledge base system has a further meaning than general visualization. In this paper the visual problem of reasoning process for knowledge base system on the basis of the formalized analysis for ICON system, Icon operation, syntax and semanteme of the statement is presented, a reasoning model of knowledge base system that has a visual characteristics is established, the model is used to do an integrity check in practical expert system and knowledge base, better effect is got.

  20. Hyperincursion and the Globalization of the Knowledge-Based Economy

    Leydesdorff, Loet

    2006-06-01

    In biological systems, the capacity of anticipation—that is, entertaining a model of the system within the system—can be considered as naturally given. Human languages enable psychological systems to construct and exchange mental models of themselves and their environments reflexively, that is, provide meaning to the events. At the level of the social system expectations can further be codified. When these codifications are functionally differentiated—like between market mechanisms and scientific research programs—the potential asynchronicity in the update among the subsystems provides room for a second anticipatory mechanism at the level of the transversal information exchange among differently codified meaning-processing subsystems. Interactions between the two different anticipatory mechanisms (the transversal one and the one along the time axis in each subsystem) may lead to co-evolutions and stabilization of expectations along trajectories. The wider horizon of knowledgeable expectations can be expected to meta-stabilize and also globalize a previously stabilized configuration of expectations against the axis of time. While stabilization can be considered as consequences of interaction and aggregation among incursive formulations of the logistic equation, globalization can be modeled using the hyperincursive formulation of this equation. The knowledge-based subdynamic at the global level which thus emerges, enables historical agents to inform the reconstruction of previous states and to co-construct future states of the social system, for example, in a techno-economic co-evolution.

  1. Evaluation of database technologies for the CTBT Knowledge Base prototype

    Keyser, R.; Shepard-Dombroski, E.; Baur, D.; Hipp, J.; Moore, S.; Young, C.; Chael, E.

    1996-11-01

    This document examines a number of different software technologies in the rapidly changing field of database management systems, evaluates these systems in light of the expected needs of the Comprehensive Test Ban Treaty (CTBT) Knowledge Base, and makes some recommendations for the initial prototypes of the Knowledge Base. The Knowledge Base requirements are examined and then used as criteria for evaluation of the database management options. A mock-up of the data expected in the Knowledge Base is used as a basis for examining how four different database technologies deal with the problems of storing and retrieving the data. Based on these requirement and the results of the evaluation, the recommendation is that the Illustra database be considered for the initial prototype of the Knowledge Base. Illustra offers a unique blend of performance, flexibility, and features that will aid in the implementation of the prototype. At the same time, Illustra provides a high level of compatibility with the hardware and software environments present at the US NDC (National Data Center) and the PIDC (Prototype International Data Center).

  2. An Evaluation of Applying Knowledge Base to Academic Information Service

    Seok-Hyoung Lee

    2013-06-01

    Full Text Available Through a series of precise text handling processes, including automatic extraction of information from documents with knowledge from various fields, recognition of entity names, detection of core topics, analysis of the relations between the extracted information and topics, and automatic inference of new knowledge, the most efficient knowledge base of the relevant field is created, and plans to apply these to the information knowledge management and service are the core requirements necessary for intellectualization of information. In this paper, the knowledge base, which is a necessary core resource and comprehensive technology for intellectualization of science and technology information, is described and the usability of academic information services using it is evaluated. The knowledge base proposed in this article is an amalgamation of information expression and knowledge storage, composed of identifying code systems from terms to documents, by integrating terminologies, word intelligent networks, topic networks, classification systems, and authority data.

  3. Knowledge based system for fouling assessment of power plant boiler

    The paper presents the design of an expert system for fouling assessment in power plant boilers. It is an on-line expert system based on selected criteria for the fouling assessment. Using criteria for fouling assessment based on 'clean' and 'not-clean' radiation heat flux measurements, the diagnostic variable are defined for the boiler heat transfer surface. The development of the prototype knowledge-based system for fouling assessment in power plants boiler comprise the integrations of the elements including knowledge base, inference procedure and prototype configuration. Demonstration of the prototype knowledge-based system for fouling assessment was performed on the Sines power plant. It is a 300 MW coal fired power plant. 12 fields are used with 3 on each side of boiler

  4. 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.

  5. 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. PMID:25160140

  6. 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.

  7. The knowledge-based framework for a nuclear power plant operator advisor

    An important facet in the design, development, and evaluation of aids for complex systems is the identification of the tasks performed by the operator. Operator aids utilizing artificial intelligence, or more specifically knowledge-based systems, require identification of these tasks in the context of a knowledge-based framework. In this context, the operator responses to the plant behavior are to monitor and comprehend the state of the plant, identify normal and abnormal plant conditions, diagnose abnormal plant conditions, predict plant response to specific control actions, and select the best available control action, implement a feasible control action, monitor system response to the control action, and correct for any inappropriate responses. These tasks have been identified to formulate a knowledge-based framework for an operator advisor under development at Ohio State University that utilizes the generic task methodology proposed by Chandrasekaran. The paper lays the foundation to identify the responses as a knowledge-based set of tasks in accordance with the expected human operator responses during an event. Initial evaluation of the expert system indicates the potential for an operator aid that will improve the operator's ability to respond to both anticipated and unanticipated events

  8. Knowledge-based expert systems for traffic safety.

    Janssen, S.T.M.C.

    1990-01-01

    An expert system for traffic safety uses a "knowledge-base" for the interpretation of the "databases" in which accident data and the characteristics of roads and traffic are stored. Computerized procedures are developed for detection, diagnosis, and remedy. The procedures will be based on what is kn

  9. 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 ...

  10. The Ignorance of the Knowledge-Based Economy. The Iconoclast.

    McMurtry, John

    1996-01-01

    Castigates the supposed "knowledge-based economy" as simply a public relations smokescreen covering up the free market exploitation of people and resources serving corporate interests. Discusses the many ways that private industry, often with government collusion, has controlled or denied dissemination of information to serve its own interests.…

  11. 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…

  12. KBGIS-II: A knowledge-based geographic information system

    Smith, Terence; Peuquet, Donna; Menon, Sudhakar; Agarwal, Pankaj

    1986-01-01

    The architecture and working of a recently implemented Knowledge-Based Geographic Information System (KBGIS-II), designed to satisfy several general criteria for the GIS, is described. The system has four major functions including query-answering, learning and editing. The main query finds constrained locations for spatial objects that are describable in a predicate-calculus based spatial object language. The main search procedures include a family of constraint-satisfaction procedures that use a spatial object knowledge base to search efficiently for complex spatial objects in large, multilayered spatial data bases. These data bases are represented in quadtree form. The search strategy is designed to reduce the computational cost of search in the average case. The learning capabilities of the system include the addition of new locations of complex spatial objects to the knowledge base as queries are answered, and the ability to learn inductively definitions of new spatial objects from examples. The new definitions are added to the knowledge base by the system. The system is performing all its designated tasks successfully. Future reports will relate performance characteristics of the system.

  13. 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…

  14. A Text Knowledge Base from the AI Handbook.

    Simmons, Robert F.

    1987-01-01

    Describes a prototype natural language text knowledge system (TKS) that was used to organize 50 pages of a handbook on artificial intelligence as an inferential knowledge base with natural language query and command capabilities. Representation of text, database navigation, query systems, discourse structuring, and future research needs are…

  15. In defense of types in knowledge-based CAAD

    Galle, Per

    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...

  16. 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 sciences...

  17. User interaction with legal knowledge-based systems

    Dijkstra, Jacob; Breuker, J.; Leenes, R.; Winkels, R.

    2000-01-01

    This paper gives an overview of my PhD study into the persuasiveness of (legal) knowledge-based systems'. The results of three experiments show the possible problems that may arise when computerised legal decision aids are put into practice. The users in the experiments had great difficulties with j

  18. 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…

  19. Generic knowledge-based analysis of social media for recommendations

    Graaff, de Victor; Venis, van de Anne; Keulen, van Maurice; By, de Rolf A.

    2015-01-01

    Recommender systems have been around for decades to help people find the best matching item in a pre-defined item set. Knowledge-based recommender systems are used to match users based on information that links the two, but they often focus on a single, specific application, such as movies to watch

  20. 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,…

  1. 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...

  2. 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.

  3. 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.

  4. KBGIS-2: A knowledge-based geographic information system

    Smith, T.; Peuquet, D.; Menon, S.; Agarwal, P.

    1986-01-01

    The architecture and working of a recently implemented knowledge-based geographic information system (KBGIS-2) that was designed to satisfy several general criteria for the geographic information system are described. The system has four major functions that include query-answering, learning, and editing. The main query finds constrained locations for spatial objects that are describable in a predicate-calculus based spatial objects language. The main search procedures include a family of constraint-satisfaction procedures that use a spatial object knowledge base to search efficiently for complex spatial objects in large, multilayered spatial data bases. These data bases are represented in quadtree form. The search strategy is designed to reduce the computational cost of search in the average case. The learning capabilities of the system include the addition of new locations of complex spatial objects to the knowledge base as queries are answered, and the ability to learn inductively definitions of new spatial objects from examples. The new definitions are added to the knowledge base by the system. The system is currently performing all its designated tasks successfully, although currently implemented on inadequate hardware. Future reports will detail the performance characteristics of the system, and various new extensions are planned in order to enhance the power of KBGIS-2.

  5. Malaysia Transitions toward a Knowledge-Based Economy

    Mustapha, Ramlee; Abdullah, Abu

    2004-01-01

    The emergence of a knowledge-based economy (k-economy) has spawned a "new" notion of workplace literacy, changing the relationship between employers and employees. The traditional covenant where employees expect a stable or lifelong employment will no longer apply. The retention of employees will most probably be based on their skills and…

  6. 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...

  7. Knowledge Based Engineering for Spatial Database Management and Use

    Peuquet, D. (Principal Investigator)

    1984-01-01

    The use of artificial intelligence techniques that are applicable to Geographic Information Systems (GIS) are examined. Questions involving the performance and modification to the database structure, the definition of spectra in quadtree structures and their use in search heuristics, extension of the knowledge base, and learning algorithm concepts are investigated.

  8. Knowledge based system for control rod programming of BWRs

    A knowledge based system has been developed to support designers in control rod programming of BWRs. The programming searches through optimal control rod patterns to realize safe and effective burning of nuclear fuel. Knowledge of experienced designers plays the main role in minimizing the number of calculations by the core performance evaluation code. This code predicts power distibution and thermal margins of the nuclear fuel. This knowledge is transformed into 'if-then' type rules and subroutines, and is stored in a knowledge base of the knowledge based system. The system consists of working area, an inference engine and the knowledge base. The inference engine can detect those data which have to be regenerated, call those subroutine which control the user's interface and numerical computations, and store competitive sets of data in different parts of the working area. Using this system, control rod programming of a BWR plant was traced with about 500 rules and 150 subroutines. Both the generation of control rod patterns for the first calculation of the code and the modification of a control rod pattern to reflect the calculation were completed more effectively than in a conventional method. (author)

  9. Development of a knowledge-based system for loop diagnosis

    An accident diagnostic system is developed as an attempt to provide a useful aid for the operators of an experimental loop or a nuclear power plant in the case of emergency condition. Because the current practices in the system diagnosis are not satisfactory, there is an increasing demand on the establishment of various operator decision support systems. The knowledge based system is a new and promising technique which can be used to fulfill this demand. With the capability of automatic reasoning and by incorporating the information about system status, the knowledge based system can simulate the process of human thinking and serve as a good decision support system. This knowledge based decision support system can be helpful for both a fast, violent accident and a slowly developed accident. Specifically, a fast diagnostic report can be provided for a fast and violent accident of which time is the main concern and a complete diagnostic report can be provided for a slowly developed accident of which complexity is the main concern. Such a knowledge based decision support system also provides many other equally important advantages, such as the elimination of human error, the automatic validation of signal readings, the establishment of human error, the automatic validation of signal readings, and the establishment of a simulation environment

  10. 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......-foundations in the link between strategic HRM practices and knowledge-based organizational performance. We thus describe a research agenda for future micro-foundational research that links strategic HRM and knowledge-based performance....

  11. A knowledge-based structure-discriminating function that requires only main-chain atom coordinates

    Itoh Nobuya; Makino Yoshihide

    2008-01-01

    Abstract Background The use of knowledge-based potential function is a powerful method for protein structure evaluation. A variety of formulations that evaluate single or multiple structural features of proteins have been developed and studied. The performance of functions is often evaluated by discrimination ability using decoy structures of target proteins. A function that can evaluate coarse-grained structures is advantageous from many aspects, such as relatively easy generation and manipu...

  12. tcTKB: an integrated cardiovascular toxicity knowledge base for targeted cancer drugs

    Xu, Rong; Wang, QuanQiu

    2015-01-01

    Targeted cancer drugs are often associated with unexpectedly high cardiovascular (CV) adverse events. Systematic approaches to studying CV events associated with targeted anticancer drugs have high potential for elucidating the complex pathways underlying targeted anti-cancer drugs. In this study, we built tcTKB, a comprehensive CV toxicity knowledge base for targeted cancer drugs, by extracting drug-CV pairs from five large-scale and complementary data sources. The data sources include FDA d...

  13. A Methodology Integrating Petri Nets and Knowledge-based Systems to Support Process Family Planning

    Zhang, Linda; Xu, Qianli; Helo, Petri

    2011-01-01

    Abstract Planning production processes for product families has been well recognized as an effective means of achieving successful product family development. However, most existing approaches do not lend themselves to planning production processes with focus on the optimality of the cohort of a product family. This paper addresses process family planning for product families. In view of the advantages of Petri nets (PNs) for modeling large systems, the potential of knowledge-based...

  14. End user interface and knowledge base editing system of CSPAR: a knowledge-based consultation system for preventive maintenance in nuclear plants

    Consultation System for Prevention of Abnormal-event Recurrence (CSPAR) is a knowledge-based system to analyze the same kind of events to a given fault reported on a nuclear power plant and to give users some informations for effective measures preventing them. This report discusses the interfaces of CSPAR for both end-users and knowledge-base editors. The interfaces are highly interactive and multi-window oriented. The features are as follows: (1) The end-user interfaces has Japanese language processing facility, which enables the users to consult CSPAR with various synonims and related terms for knowledge-base handling; (2) The knowledge-base editing system is used by knowledge-base editors for maintaining the knowledge on both plants' equipments and abnormal events sequences. It has facilities for easy maintenance of knowledge-bases, which includes a graphic oriented browser, a knowledge-base retriever, and a knowledge-base checker. (author)

  15. SPRINT RA 230: Methodology for knowledge based developments

    SPRINT RA 230: A Methodology for Knowledge Based Developments, funded by the European Commission, was set up to investigate the use of KBS in the engineering industry. Its aim was to find out low KBS were currently used and what people's conceptions of them was, to disseminate current knowledge and to recommend further research into this area. A survey (by post and face to face interviews) was carried out under SPRINT RA 230 to investigate requirements for more intelligent software. In the survey we looked both at how people think about Knowledge Based Systems (KBS), what they find useful and what is not useful, and what current expertise problems or limitations of conventional software might suggest KBS solutions. (orig./DG)

  16. 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.

  17. 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.

  18. 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.

  19. Knowledge-based diagnosis of PWR secondary water chemistry

    A prototype knowledge-based diagnostic system has been developed for more effective processing of the in-line chemistry sensor data from the PWR secondary water-steam circuit with the SUN 3/80 workstation and the Nexpert Object shell program. The system consists of the data interface, the data interpreter, the CHEMISTRY-expert, the ACTION-expert, and the user interface. The knowledge base defines physical and conceptual models of the target domain in a class/object hierarchy, giving rise to a reduced number of rules with pattern matching. The rule base is broken down into separate rule groups for task control, classification, prioritization, and diagnosis to minimize the inference time. The system is scheduled for the Verification and Validation test to collect operational information feedback in one of the Korea nuclear power plants in the near future. (author)

  20. A knowledge based method for nuclear plant loading pattern determination

    This paper deals with the design of a knowledge based system for solving an industrial problem which occurs in nuclear fuel management. The problem lies in determining satisfactory loading patterns for nuclear plants. Its primary feature consists in the huge search space involved. Conventional resolution processes are formally defined and analyzed: there is no general algorithm which guarantees to always provide a reasonable solution in each situation. We propose a new approach to solve this constrained search problem using domain-specific knowledge and general constraint-based heuristics. During a preprocessing step, a problem dependent search algorithm is designed. This procedure is then automatically implemented in FORTRAN. The generated routines have proved to be very efficient finding solutions which could not have been provided using logic programming. A prototype expert system has already been applied to actual reload pattern searches. While combining efficiency and flexibility, this knowledge based system enables human experts to rapidly match new constraints and requirements

  1. Knowledge-based automated radiopharmaceutical manufacturing for Positron Emission Tomography

    This article describes the application of basic knowledge engineering principles to the design of automated synthesis equipment for radiopharmaceuticals used in Positron Emission Tomography (PET). Before discussing knowledge programming, an overview of the development of automated radiopharmaceutical synthesis systems for PET will be presented. Since knowledge systems will rely on information obtained from machine transducers, a discussion of the uses of sensory feedback in today's automated systems follows. Next, the operation of these automated systems is contrasted to radiotracer production carried out by chemists, and the rationale for and basic concepts of knowledge-based programming are explained. Finally, a prototype knowledge-based system supporting automated radiopharmaceutical manufacturing of 18FDG at Brookhaven National Laboratory (BNL) is described using 1stClass, a commercially available PC-based expert system shell

  2. Radiation protection optimization using a knowledge based methodology

    This paper presents a knowledge based methodology for radiological planning and radiation protection optimization. The cost-benefit methodology described on International Commission of Radiation Protection Report No. 37 is employed within a knowledge based framework for the purpose of optimizing radiation protection and plan maintenance activities while optimizing radiation protection.1,2 The methodology is demonstrated through an application to a heating ventilation and air conditioning (HVAC) system. HVAC is used to reduce radioactivity concentration levels in selected contaminated multi-compartment models at nuclear power plants when higher than normal radiation levels are detected. The overall objective is to reduce personnel exposure resulting from airborne radioactivity, when routine or maintenance access is required in contaminated areas. 2 figs, 15 refs

  3. The Underdetermined Knowledge-Based Theory of the MNC

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

    2011-01-01

    parties; and (2) that the threat of opportunism is not necessary, although it may be sufficient, to explain the existence of the MNC. Their knowledge-based view shifted the conceptualization of the firm from an institution arising from market failure and transaction costs economizing to a progeny of......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...... 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...

  4. Applications of knowledge-based systems in NPP control rooms

    The proper functioning of the nuclear power plant operator as an information processor and decision maker is crucial for performance reliability. The application of knowledge-based systems offers new possibilities for supporting the operator and reducing the complexity of the system representation. This is particularly important under difficult conditions where his performance might otherwise deteriorate. Such applications include improved alarm analysis, operations tracking and monitoring, and a flexible handling of the operator-system dialogue. The paper will characterise the range of applications as well as report on the development of a specific system. This uses several knowledge-based systems to support the operator by making the required operation less knowledge intensive. (author)

  5. 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...

  6. 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.

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

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

    2004-01-01

    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's) are......It is becoming an important social problem to make maintenance and rehabilitation of existing infrastructures such as bridges, buildings, etc. The kernel of such structure management is to develop a method of safety assessment on items which include remaining life and load carrying capacity. The...... presented in the paper. The first is a BMS to assess the performance and derive optimal strategies for inspection and maintenance of concrete structures using reliability based and knowledge based systems. The second is the concrete bridge rating expert system (BREX) to evaluate the performance of existing...

  8. A Knowledge-Based Consultant for Financial Marketing

    Kastner, John; Apte, Chidanand; Griesmer, James

    1986-01-01

    This article describes an effort to develop a knowledge-based financial marketing consultant system. Financial marketing is an excellent vehicle for both research and application in artificial intelligence (AI). This domain differs from the great majority of previous expert system domains in that there are no well-defined answers (in traditional sense); the goal here is to obtain satisfactory arguments to support the conclusions made. A large OPS5-based system was implemented as an initial pr...

  9. Learning Collaboration Moderator Services: Supporting Knowledge Based Collaboration

    Choudhary A.K.; Harding J.A.; Swarnkar R.; Das B.P.; Young R.I.

    2010-01-01

    Collaboration Moderator Services (CMS) as an evolution of earlier Moderator research has emerged to address the issues relating to knowledge based collaboration by providing a set of functionalities such as raising awareness of business opportunities, problems areas, conflicts, change in the item of interests and lessons learned from collaboration. This paper presents a framework for learning CMS within the context of SYNERGY project. It has been shown that knowledge miners of CMS can be used...

  10. A knowledge based system for irrigation planning in Virginia

    Kumar, Dipmani

    1990-01-01

    Problems associated with irrigation in humid regions include uncertainty of whether irrigation will be necessary in a given year, and the question of whether crop response will be sufficient to make the required investment profitable in the long run. A prototype knowledge based system (KBS) has been developed to determine the economic feasibility of a range of irrigation systems for site specific conditions. The KBS uses information input by the user to determine possible irrig...

  11. Internal Communication and Social Dialogue in Knowledge-Based Organizations

    Diana-Maria CISMARU; LEOVARIDIS, Cristina

    2013-01-01

    Knowledge-based organizations are constructed on intangible assets, such as the expertise and the values of the employees. As a consequence, motivation and professional excellence of employees are the main objectives of management teams. For this type of organizations, considered as true “knowledge systems”, the employees represent the most valuable resource that is not motivated only through financial means, but also through internal communication, autonomy or social rewards. The research of...

  12. Internal Communication and Social Dialogue in Knowledge-Based Organizations

    Diana-Maria CISMARU; LEOVARIDIS, Cristina

    2014-01-01

    Knowledge-based organizations are constructed on intangible assets, such as the expertise and the values of the employees. As a consequence, motivation and professional excellence of employees are the main objectives of management teams. For this type of organizations, considered as true “knowledge systems”, the employees represent the most valuable resource that is not motivated only through financial means, but also through internal communication, autonomy or social rewards. The research of...

  13. ICT, INFORMATIONAL INNOVATION AND KNOWLEDGE-BASED ECONOMY

    Mohamed Neffati

    2012-01-01

    This paper suggests explaining the main important role of new economicinformation providing competitive advantages which help economic development. It highlightsa new ‘intelligent model» which produces and chooses the right competitive information, as aresult of informational innovation which ensures the maintaining of the stability of economicgrowth in a new knowledge based economy. The proposed model describes the major role ofinformation in different kinds of innovations which provide an ...

  14. QUALITY IN EDUCATION IN A KNOWLEDGE-BASED ECONOMY

    GABRIELA ARIONESEI; DANIELA NEAMTU

    2012-01-01

    Knowledge has the greatest value, the most human contribution, the greatest relevance to decision processes and actions and the greatest impact on specific situations or contexts. In an organizational context, all new knowledge comes from people. Some knowledge is included in organizational processes, structures and technologies. Recently, knowledge management was remitted to the domain of organizations whose primary business was to sell knowledge-based goods and products. Now, it is rapidly ...

  15. From Conventional to Knowledge Based Geographical Information Systems

    Fischer, Manfred M.

    1994-01-01

    Artificial intelligence (Al) has received an explosion of interest during the last five years in various fields. There is no longer any question that expert systems and neural networks will be of central importance for developing the next generation of more intelligent geographic information systems. Such knowledge based geographic information systems will especially play a key role in spatial decision and policy analysis related to issues such as environmental monitoring and m...

  16. Knowledge-based vision and simple visual machines.

    Cliff, D.; Noble, J

    1997-01-01

    The vast majority of work in machine vision emphasizes the representation of perceived objects and events: it is these internal representations that incorporate the 'knowledge' in knowledge-based vision or form the 'models' in model-based vision. In this paper, we discuss simple machine vision systems developed by artificial evolution rather than traditional engineering design techniques, and note that the task of identifying internal representations within such systems is made difficult by t...

  17. A Knowledge Based System for Diagnosing Nosocomial Infections

    Landry, Gail; Beyt, B. Eugene; Delcambre, Lois M.L.

    1987-01-01

    This paper describes the design, implementation, and evaluation of a knowledge based prototype for diagnosing nosocomial infections. The prototype uses a consultative session to diagnose three major types of infection: urinary tract infection, bacteremia, and surgical wound infection. The system evaluates the results of microbiology and laboratory testing, includes rules based on clinical events, and determines onset dates. The prototype was implemented in Prolog and was tested for its abilit...

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

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

    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 fingerpr...

  19. Category model to modeling the surface texture knowledge-base

    Yan WANG; Scott, Paul J; Jiang, Xiang

    2006-01-01

    The next generations of Geometrical Product Specification (GPS) standards are considered to be too theoretical, abstract, complex and over-elaborate. And it is not easier for industry to understand and implement them efficiently in a short time. An intelligent knowledge-based system, “VirtualSurf” is being developed to solve the problem, particularly for surface texture knowledge, which is a critical part of GPS. This system will provide expert knowledge of surface texture to link...

  20. A knowledge-based approach to network and module diagnosis

    With the ever increasing complexity of high energy physics experiments and the increasing number of component parameters in detectors and their associated data-acquisition systems, it is important to transfer human expertise into computer programs such that they exhibit human reasoning, but react more quickly and more consistently to rapidly changing stimuli. This paper describes how knowledge-based systems are being used at Fermilab to diagnose networks and modules. (orig.)

  1. Quality Management in the Knowledge Based Economy – Kaizen Method

    Popa Liliana Viorica

    2010-01-01

    In the knowledge based economy, organisations are influenced by the quality movement, Kaizen, which plays a strategic role for optimization of organizational capabilities of managers as well as of all the employees. Kaizen represents the philosophy of continuous improvement, until the economic activities inside the organisation reach zero deficiencies. In order to implement in a proper manner Kaizen into the organization, managers must decide what to improve, why to improve, who shall improve...

  2. 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.

  3. MetaShare: Enabling Knowledge-Based Data Management

    Pennington, D. D.; Salayandia, L.; Gates, A.; Osuna, F.

    2013-12-01

    MetaShare is a free and open source knowledge-based system for supporting data management planning, now required by some agencies and publishers. MetaShare supports users as they describe the types of data they will collect, expected standards, and expected policies for sharing. MetaShare's semantic model captures relationships between disciplines, tools, data types, data formats, and metadata standards. As the user plans their data management activities, MetaShare recommends choices based on practices and decisions from a community that has used the system for similar purposes, and extends the knowledge base to capture new relationships. The MetaShare knowledge base is being seeded with information for geoscience and environmental science domains, and is currently undergoing testing on at the University of Texas at El Paso. Through time and usage, it is expected to grow to support a variety of research domains, enabling community-based learning of data management practices. Knowledge of a user's choices during the planning phase can be used to support other tasks in the data life cycle, e.g., collecting, disseminating, and archiving data. A key barrier to scientific data sharing is the lack of sufficient metadata that provides context under which data were collected. The next phase of MetaShare development will automatically generate data collection instruments with embedded metadata and semantic annotations based on the information provided during the planning phase. While not comprehensive, this metadata will be sufficient for discovery and will enable user's to focus on more detailed descriptions of their data. Details are available at: Salayandia, L., Pennington, D., Gates, A., and Osuna, F. (accepted). MetaShare: From data management plans to knowledge base systems. AAAI Fall Symposium Series Workshop on Discovery Informatics, November 15-17, 2013, Arlington, VA.

  4. Knowledge Based Society,an outcome of Social Capital Linking

    Maciel Sanchez, Isaac

    2016-01-01

    he present project analyses the relationship between knowledge and society. Specialists mention the relevance of knowledge in the current post-industrial era, coining it differently and according to their specific school of thought or ideology (economics, sociology, etc) as Knowledge Economy, Knowledge Society, or Knowledge Based Society. Even International Institutions such as the European Commission, the UNESCO or the World Bank, have pointed the relevance of knowledge in the economic devel...

  5. A Knowledge-Based Approach for Business Process Reengineering, SHAMASH

    Aler, Ricardo; Borrajo, Daniel; Camacho, David; Sierra Alonso, Almudena

    2002-01-01

    In this paper we present an initial overview of shamash, a process modeling tool for Business Process Reengineering. The main features that differentiate it from most current related tools are its ability to define and use organisation standards, and functional structure, and make automatic model simulation and optimisation of them. shamash is a knowledge based system, and we include a discussion on how knowledge acquisition did take place. Furthemore, we introduce a high level description of...

  6. The helpful patient record system: problem oriented and knowledge based.

    Bayegan, Elisabeth; Tu, Samson

    2002-01-01

    In contrast to existing computerized patient record systems, which merely offer static functionality for storage and presentation, a helpful patient record system is a problem-oriented, knowledge-based system which provides the clinician with situation-specific information from the patient record, relevant to the activity within the patient care process. We suggest extending the data model of current patient record systems with (1) knowledge for recognizing and interpreting care situations, (...

  7. Challenges for Pakistani SMEs in a Knowledge-Based Economy

    Muhammad Khalique; Abu Hassan Md. Isa; Jamal Abdul Nassir Shaari

    2011-01-01

    Attempt is made to indentify the major issues of knowledge-based economy, which are facing SMEs in Pakistan. Literature review: literature review reveals that Small and Medium Enterprises (SMEs) are playing very important role in the development of economy in Pakistan. Despite of the important contribution to economy, SMEs are still facing serious issues. These issues create serious threats for the survival of SMEs in Pakistan. After twenty first century, the economy transformed from producti...

  8. Improving scalable video adaptation in a knowledge-based framework

    Lopez Hernandez, Fernando; Nur, Gokce; Dogan, Safak; Arachchi, Hemantha; Mrak, M.; Martinez, Jose Maria; García Santos, Narciso; Kondoz, Ahmet

    2010-01-01

    In a knowledge-based content adaptation framework, video adaptation can be performed in a series of steps, named conversions. The high-level decision phase in such a framework occasionally encounters several feasible parameter values of a specific conversion. This paper proposes to transfer further decisions to a low-level phase that decides which parameters maximise the quality of the adaptation. Particularly when more than one solution are available, an innovative quality measure is used fo...

  9. Network approach to fundamental tasks in knowledge-based organizations

    Smedlund, Anssi

    2009-01-01

    Organizational networks are increasingly drawing the attention of management scholars worldwide. It is commonly expected that certain intra-organizational network structures predict how well the individual, the group, and the firm will perform. This study focuses on the structures and management of intra-organizational networks in knowledge-based organizations, studied with a literature review and with three separate research settings. The settings include the network perspective on the devel...

  10. (Costing) Knowledge-Based Cost Modelling of Composite Wing Structures

    Verhagen, Wim; Bermell-Garcia, Pablo; Mariot, Pierre; Cotton, Jean-Pierre; Ruiz, Domingo; Redon, Romaric; Curran, Ricky

    2010-01-01

    Abstract The progressive industrialization of composite-built aircraft is putting manufacturing engineers on a steep learning curve. An opportunity exists to use knowledge management tools to capture, share and reuse knowledge over multiple aircraft programs and maintain the constant flow of learning gained during aircraft program delivery. This paper reports on research to develop a knowledge-based cost modelling capability for composite part concept evaluation. The approach integ...

  11. Intelligent Flowcharting Developmental Approach to Legal Knowledge Based System

    Nitin Balaji Bilgi; Kulkarni, R. V.

    2011-01-01

    The basic aim of this research, described in this paper is to develop a hybrid legal expert system/ knowledge based system, with specific reference to the transfer of property act, within the Indian legal system which is often in demand. In this paper the authors discuss an traditional approach to combining two types of reasoning methodologies, Rule Based Reasoning (RBR) and Case Based Reasoning (CBR). In RBR module we have interpreted and implemented rules that occur in legal statutes of the...

  12. Implementation of Medical Knowledge Bases in HyperCard

    Banks, Gordon; McLinden, Sean; Carlos, Gina

    1988-01-01

    Hypercard is a computer program which allows the creation of databases of linked textual and graphic information. It is extremely easy to use, even for naive users. We have transferred into Hypercard format portions of some of the expert system medical knowledge-bases developed over the years in our laboratory to investigate the feasibility of using Hypercard as an editor and browser for such data.

  13. On PID controller design using knowledge based fuzzy system

    Jana Nowakova; Miroslav Pokorny

    2012-01-01

    The designing of PID controllers is a frequently discussed problem. Many of the design methods have been developed, classic (analytical tuning methods, optimization methods etc.) or not so common fuzzy knowledge based methods. The aim of design methods is in designing of controllers 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 ...

  14. 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.

  15. Internal Communication and Social Dialogue in Knowledge-Based Organizations

    Diana-Maria CISMARU

    2014-02-01

    Full Text Available Knowledge-based organizations are constructed on intangible assets, such as the expertise and the values of the employees. As a consequence, motivation and professional excellence of employees are the main objectives of management teams. For this type of organizations, considered as true “knowledge systems”, the employees represent the most valuable resource that is not motivated only through financial means, but also through internal communication, autonomy or social rewards. The research of Eurofound shows that knowledge-based organizations have a low number of trade unions, while professional associations are more relevant for them. There is no tradition to defend through negotiation the working conditions of employees, thus it is important for managers to use the best practices, in order to increase the employees’ loyalty. We conducted a qualitative research concerning the quality of professional life of employees in five sectors of knowledge-based services: advertising-marketing, IT, banking and finance, research and development, and higher education; 15-20 employees from each sector were interviewed. Some of the questions referred directly to trade unions and affiliation, and also to internal communication. Although the results showed a different situation in each of the five sectors, there are few common characteristics: descendant communication is more frequent than ascendant communication, trade unions were reported as missing, unrepresentative or not very active, and the greatest part of employees in this sector are not affiliated, facts that limits the possibility of maintaining employees’ motivation on long term.

  16. Knowledge-based processing for aircraft flight control

    Painter, John H.; Glass, Emily; Economides, Gregory; Russell, Paul

    1994-01-01

    This Contractor Report documents research in Intelligent Control using knowledge-based processing in a manner dual to methods found in the classic stochastic decision, estimation, and control discipline. Such knowledge-based control has also been called Declarative, and Hybid. Software architectures were sought, employing the parallelism inherent in modern object-oriented modeling and programming. The viewpoint adopted was that Intelligent Control employs a class of domain-specific software architectures having features common over a broad variety of implementations, such as management of aircraft flight, power distribution, etc. As much attention was paid to software engineering issues as to artificial intelligence and control issues. This research considered that particular processing methods from the stochastic and knowledge-based worlds are duals, that is, similar in a broad context. They provide architectural design concepts which serve as bridges between the disparate disciplines of decision, estimation, control, and artificial intelligence. This research was applied to the control of a subsonic transport aircraft in the airport terminal area.

  17. 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.

  18. From conventional software based systems to knowledge based systems

    Even if todays nuclear power plants have a very good safety record, there is a continuous search for still improving safety. One direction of this effort address operational safety, trying to improve the handling of disturbances and accidents partly by further automation, partly by creating a better control room environment, providing the operator with intelligent support systems to help in the decision making process. Introduction of intelligent computerised operator support systems has proved to be an efficient way of improving the operators performance. A number of systems have been developed worldwide, assisting in tasks like process fault detection and diagnosis, selection and implementation of proper remedial actions. Unfortunately, the use of Knowledge Based Systems (KBSs), introduces a new dimension to the problem of the licensing process. KBSs, despite the different technology employed, are still nothing more than a computer program. Unfortunately, quite a few people building knowledge based systems seem to ignore the many good programming practices that have evolved over the years for producing traditional computer programs. In this paper the author will try to point out similarities and differences between conventional software based systems, and knowledge based systems, introducing also the concept of model based reasoning. (orig.) (25 refs., 2 figs.)

  19. Development of knowledge base system linked to material database

    The distributed material database system named 'Data-Free-Way' has been developed by four organizations (the National Institute for Materials Science, the Japan Atomic Energy Research Institute, the Japan Nuclear Cycle Development Institute, and the Japan Science and Technology Corporation) under a cooperative agreement in order to share fresh and stimulating information as well as accumulated information for the development of advanced nuclear materials, for the design of structural components, etc. In order to create additional values of the system, knowledge base system, in which knowledge extracted from the material database is expressed, is planned to be developed for more effective utilization of Data-Free-Way. XML (eXtensible Markup Language) has been adopted as the description method of the retrieved results and the meaning of them. One knowledge note described with XML is stored as one knowledge which composes the knowledge base. Since this knowledge note is described with XML, the user can easily convert the display form of the table and the graph into the data format which the user usually uses. This paper describes the current status of Data-Free-Way, the description method of knowledge extracted from the material database with XML and the distributed material knowledge base system. (author)

  20. 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

  1. The Network of Excellence 'Knowledge-based Multicomponent Materials for Durable and Safe Performance'

    The Network of Excellence 'Knowledge-based Multicomponent Materials for Durable and Safe Performance' (KMM-NoE) consists of 36 institutional partners from 10 countries representing leading European research institutes and university departments (25), small and medium enterprises, SMEs (5) and large industry (7) in the field of knowledge-based multicomponent materials (KMM), more specifically in intermetallics, metal-ceramic composites, functionally graded materials and thin layers. The main goal of the KMM-NoE (currently funded by the European Commission) is to mobilise and concentrate the fragmented scientific potential in the KMM field to create a durable and efficient organism capable of developing leading-edge research while spreading the accumulated knowledge outside the Network and enhancing the technological skills of the related industries. The long-term strategic goal of the KMM-NoE is to establish a self-supporting pan-European institution in the field of knowledge-based multicomponent materials--KMM Virtual Institute (KMM-VIN). It will combine industry oriented research with educational and training activities. The KMM Virtual Institute will be founded on three main pillars: KMM European Competence Centre, KMM Integrated Post-Graduate School, KMM Mobility Programme. The KMM-NoE is coordinated by the Institute of Fundamental Technological Research (IPPT) of the Polish Academy of Sciences, Warsaw, Poland

  2. A knowledge-based system framework for real-time monitoring applications

    A real-time environment presents a challenge for knowledge-based systems for process monitoring with on-line data acquisition in nuclear power plants. These applications are typically data intensive. This, coupled with the dynamic nature of events on which problematic decisions are based, requires the development of techniques fundamentally different from those generally employed. Traditional approaches involve knowledge management techniques developed for static data, the majority of which is elicited directly from the user in a consultation environment. Inference mechanisms are generally noninterruptible, requiring all appropriate rules to be fired before new data can be accommodated. As a result, traditional knowledge-based applications in real-time environments have inherent problems in dealing with the time dependence of both the data and the solution process. For example, potential problems include obtaining a correct solution too late to be of use or focusing computing resources on problems that no longer exist. A knowledge-based system framework, the real-time framework (RTF), has been developed that can accommodate the time dependencies and resource trade-offs required for real-time process monitoring applications. This framework provides real-time functionality by using generalized problem-solving goals and control strategies that are modifiable during system operation and capable of accommodating feedback for redirection of activities

  3. A knowledge-based clustering algorithm driven by Gene Ontology.

    Cheng, Jill; Cline, Melissa; Martin, John; Finkelstein, David; Awad, Tarif; Kulp, David; Siani-Rose, Michael A

    2004-08-01

    We have developed an algorithm for inferring the degree of similarity between genes by using the graph-based structure of Gene Ontology (GO). We applied this knowledge-based similarity metric to a clique-finding algorithm for detecting sets of related genes with biological classifications. We also combined it with an expression-based distance metric to produce a co-cluster analysis, which accentuates genes with both similar expression profiles and similar biological characteristics and identifies gene clusters that are more stable and biologically meaningful. These algorithms are demonstrated in the analysis of MPRO cell differentiation time series experiments. PMID:15468759

  4. Generating Multilingual Documents from a Knowledge Base The TECHDOC Project

    Rösner, D; Stede, Manfred

    1994-01-01

    TECHDOC is an implemented system demonstrating the feasibility of generating multilingual technical documents on the basis of a language-independent knowledge base. Its application domain is user and maintenance instructions, which are produced from underlying plan structures representing the activities, the participating objects with their properties, relations, and so on. This paper gives a brief outline of the system architecture and discusses some recent developments in the project: the addition of actual event simulation in the KB, steps towards a document authoring tool, and a multimodal user interface. (slightly corrected version of a paper to appear in: COLING 94, Proceedings)

  5. Knowledge-based support system for requirement elaboration in design

    Design requirements are the seeds of every design activity, but elicitation and formalization of them are not easy tasks. This paper proposes a method to support designers in such requirement elaboration process with a computer. In this method the cognitive work space of designers is modeled by abstraction and structural hierarchies, and supporting functions of knowledge-based requirement elaboration, requirement classification and assessment of contentment status of requirements are provided on this framework. A prototype system was developed and tested using fast breeder reactor design. (author)

  6. A real time knowledge-based alarm system EXTRA

    EXTRA is an experimental expert system for industrial process control. The main objectives are the diagnosis and operation aids. From a methodological point of view, EXTRA is based on a deep knowledge of the plant operation and on qualitative simulation principles. The application concerns all the electric power and the Chemical and Volume Control System of a P.W.R. nuclear plant. The tests conducted on a full-scope simulator representative of the real plant yielded excellent results and taught the authors a number of lessons. The main lesson concerns the efficiency and flexibility provided by the combination of a knowledge-based system and of an advanced mini-computer

  7. 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

  8. Expert Knowledge Base to Support Maintenance of a Radar System

    Stanislaw Duer

    2010-01-01

    This paper presents the method for the creation of an expert knowledge base of a military object, for example a radar system. Such a knowldge base can be widely used to support the process of the maintenance of a complex technical object. The first step is a maintenance evaluation of the object. During this kind of analysis, it is necessary to perform the grouping and classification of the functional elements of the object.It is realised using the functional scheme of the object presented. Fu...

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

    Hvam, Lars; Malis, Martin

    2003-01-01

    lot of knowledge isput into these systems and many domain experts are involved. This calls for an effective documentation system in order to structure this knowledge in a way that fits to the systems. Standard configuration systems do not support this kind of documentation. The chapter deals 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....

  10. 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 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...

  11. Tutorial on validation and verification of knowledge-based systems

    The validation and verification (V and V) of Knowledge-Based Systems (KBS) becomes of increasing concern as these systems are fielded and embedded in the everyday operations of Electric Power and other industries particularly so when life-critical and environment-critical aspects are involved. This paper provides in this tutorial a V and V perspective on the nature of KBS components, an appropriate life-cycle, and applicable testing approaches. The authors consider why KBS V and V may be both easier and harder than traditional means, and the authors conclude with a series of practical V and V guidelines

  12. 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

  13. 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.

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

    Rocío Jiménez-Briones; Alba Luzondo Oyón

    2011-01-01

    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 Postulat...

  15. 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.

  16. Building the knowledge base for environmental action and sustainability

    2015-01-01

    was “Building the knowledge base for environmental action and sustainability”. The joint conference was designed to facilitate ‘within‐the‐domain’, as well as to create a space for developing synergies between the two communities. Altogether 125 research and applied papers (including extended abstracts) from 42......‐Packard Joseph Kava, Vice President ‐ Data Centers, Google, California   Special thanks to Tania Nielsen who has acted as key person for all organisational matters, including contact point for speakers and participants and for the publication of the Conference Proceedings and Adjunct Proceedings. Thanks...

  17. 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.

  18. 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

  19. Knowledge-based imaging-sensor fusion system

    Westrom, George

    1989-01-01

    An imaging system which applies knowledge-based technology to supervise and control both sensor hardware and computation in the imaging system is described. It includes the development of an imaging system breadboard which brings together into one system work that we and others have pursued for LaRC for several years. The goal is to combine Digital Signal Processing (DSP) with Knowledge-Based Processing and also include Neural Net processing. The system is considered a smart camera. Imagine that there is a microgravity experiment on-board Space Station Freedom with a high frame rate, high resolution camera. All the data cannot possibly be acquired from a laboratory on Earth. In fact, only a small fraction of the data will be received. Again, imagine being responsible for some experiments on Mars with the Mars Rover: the data rate is a few kilobits per second for data from several sensors and instruments. Would it not be preferable to have a smart system which would have some human knowledge and yet follow some instructions and attempt to make the best use of the limited bandwidth for transmission. The system concept, current status of the breadboard system and some recent experiments at the Mars-like Amboy Lava Fields in California are discussed.

  20. A knowledge based system for training radiation emergency response personnel

    One of the important aspects of radiation emergency preparedness is to impart training to emergency handling staff. Mock exercises are generally used for this purpose. But practical considerations limit the frequency of such exercises. A suitably designed computer software can be effectively used to impart training. With the advent of low cost personal computers, the frequency with which the training programme can be conducted is unlimited. A computer software with monotonic behaviour is inadequate for such training. It is necessary to provide human like tutoring capabilities. With the advances in knowledge based computer systems, it is possible to develop such a system. These systems have the capability of providing individualized training. This paper describes the development of such a system for training and evaluation of agencies associated with the management of radiation emergency. It also discusses the utility of the software as a general purpose tutor. The details required for the preparation of data files and knowledge base files are included. It uses a student model based on performance measures. The software is developed in C under MS-DOS. It uses a rule based expert system shell developed in C. The features of this shell are briefly described. (author). 5 refs

  1. Expert Knowledge Base to Support Maintenance of a Radar System

    Stanislaw Duer

    2010-08-01

    Full Text Available This paper presents the method for the creation of an expert knowledge base of a military object, for example a radar system. Such a knowldge base can be widely used to support the process of the maintenance of a complex technical object. The first step is a maintenance evaluation of the object. During this kind of analysis, it is necessary to perform the grouping and classification of the functional elements of the object.It is realised using the functional scheme of the object presented. Further, diagnostic information is combined with specialised experts' knowledge and transformed it into a set of servicing information. The participation of experts in the process of expert knowledge base preparation is significant. The purpose is to capture information that will be a fundamental for the design of a maintenance system dedicated to the particulartechnical object. The methods proposed were verified with appropriate examples, in which the set of specialised diagnostic information of the object was determined.Defence Science Journal, 2010, 60(5, pp.531-540, DOI:http://dx.doi.org/10.14429/dsj.60.84

  2. Strong earthquakes knowledge base for calibrating fast damage assessment systems

    Frolova, N.; Kozlov, M.; Larionov, V.; Nikolaev, A.; Suchshev, S.; Ugarov, A.

    2003-04-01

    At present Systems for fast damage and loss assessment due to strong earthquakes may use as input data: (1) information about event parameters (magnitude, depth and coordinates) issued by Alert Seismological Surveys; (2) wave-form data obtained by strong-motion seismograph network; (3) high resolution space images of the affected area obtained before and after the event. When data about magnidute, depth and location of event are used to simulate possible consequences, the reliability of estimations depends on completeness and reliability of databases on elements at risk (population and built environment); reliability of vulnerability functions of elements at risk; and errors in strong earthquakes' parameters determination by Alert Seismological Surveys. Some of these factors may be taken into account at the expense of the System calibration with usage of well documented past strong earthquakes. The paper is describing the structure and content of the knowledge base about well documented strong events, which occurred in last century. It contains the description of more than 1000 events. The data are distributed almost homogeneously as the losses due to earthquakes are concerned; the most events are in the magnitude range 6.5 -7.9. Software is created to accumulate and analyze the information about these events source parameters and social consequences. Created knowledge base is used for calibration the Fast Damage Assessment Tool, which is at present on duty with the framework of EDRIM Program. It is also used as additional information by experts who analyses the results of computations.

  3. Neuro computing in knowledge-based decision support systems

    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)

  4. Knowledge Based Expert Advisory System for Transport Demand Management

    Resdiansyah Mansyur

    2011-01-01

    Full Text Available In view of the fact that supply strategies alone could not solve urban congestion, many cities around the globe have adopted Transport Demand Management (TDM strategies as part and partial of their congestion mitigation plan. TDM comprises several strategies and policies that aim to modifying travelers behaviour. TDM comprises strategies and policies that are different in nature which can be divided into several categories according to  how they affect travelers’ behavior. Selecting and determining suitable TDM strategies for a particular congestion mitigation goal can be a complex task; thus requires expertise. In this regards, the effectiveness of a TDM strategy is primarily depending on whether its selection was appropriately examined prior to its field implementation. This paper presents the development of a Knowledge based expert advisory system for TDM. The process of organizing the available knowledge of TDM strategies, as well as the process leading to the selection of one or more strategy advice, is encoded in the knowledge based expert system shell developed for the purpose by using shell expert system Kappa-PC version 2.4 which was adopted object oriented and high resolution graphical user interface. The advice given from the working system was evaluated and validated by comparing the output of the system against the recommendations made by transportation professionals. The evaluations indicate favourable results for the system. The expert advisory system can be used as a decision support system as well as a teaching tool for junior transportation engineers, planners, private developers, and government officials.

  5. 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.

  6. Fault detection and reliability, knowledge based and other approaches

    These proceedings are split up into four major parts in order to reflect the most significant aspects of reliability and fault detection as viewed at present. The first part deals with knowledge-based systems and comprises eleven contributions from leading experts in the field. The emphasis here is primarily on the use of artificial intelligence, expert systems and other knowledge-based systems for fault detection and reliability. The second part is devoted to fault detection of technological systems and comprises thirteen contributions dealing with applications of fault detection techniques to various technological systems such as gas networks, electric power systems, nuclear reactors and assembly cells. The third part of the proceedings, which consists of seven contributions, treats robust, fault tolerant and intelligent controllers and covers methodological issues as well as several applications ranging from nuclear power plants to industrial robots to steel grinding. The fourth part treats fault tolerant digital techniques and comprises five contributions. Two papers, one on reactor noise analysis, the other on reactor control system design, are indexed separately. (author)

  7. 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.

  8. Knowledge base to develop expert system prototype for predicting groundwater pollution from nitrogen fertilizer

    An expert system for prediction the impact of nitrogen fertilizer on groundwater pollution potential was established by using CLIPS (NASA's Jonson Space Centre). The knowledge base could be extracted from FAO reports, ministry of agriculture and rural development Malaysia report, established literature and domain expert for preparing an expert system skeleton. An expert system was used to correlate the availability of nitrogen fertilizer with the vulnerability of groundwater to pollution in Peninsula Malaysia and to identify potential groundwater quality problems. An n-fertilizer groundwater pollution potential index produced b using the vulnerability of groundwater to pollution yields a more accurate screening toll for identifying potential pollution problems than by considering vulnerability alone. An expert system can predict the groundwater pollution potential under several conditions of agricultural activities and existing environments. (authors)

  9. 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/.

  10. 'From knowledge-based economy to... knowledge-based economy ? reflections on changes in the economy and development policies in the North East of England.

    R Hudson

    2011-01-01

    From knowledge-based economy to … knowledge-based economy? Reflections on changes in the economy and development policies in the North East of England, Regional Studies. Against the background of claims made about the emergence of a new knowledge-based economy, the paper explores 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 transf...

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

    Hudson, Ray

    2009-01-01

    From knowledge-based economy to … knowledge-based economy? Reflections on changes in the economy and development policies in the North East of England, Regional Studies. Against the background of claims made about the emergence of a new knowledge-based economy, the paper explores 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 transf...

  12. 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.

  13. Knowledge-Based Framework: its specification and new related discussions

    Rodrigues, Douglas; Zaniolo, Rodrigo R.; Branco, Kalinka R. L. J. C.

    2015-09-01

    Unmanned Aerial Vehicle is a common application of critical embedded systems. The heterogeneity prevalent in these vehicles in terms of services for avionics is particularly relevant to the elaboration of multi-application missions. Besides, this heterogeneity in UAV services is often manifested in the form of characteristics such as reliability, security and performance. Different service implementations typically offer different guarantees in terms of these characteristics and in terms of associated costs. Particularly, we explore the notion of Service-Oriented Architecture (SOA) in the context of UAVs as safety-critical embedded systems for the composition of services to fulfil application-specified performance and dependability guarantees. So, we propose a framework for the deployment of these services and their variants. This framework is called Knowledge-Based Framework for Dynamically Changing Applications (KBF) and we specify its services module, discussing all the related issues.

  14. 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  

  15. ProbOnto: ontology and knowledge base of probability distributions

    Swat, Maciej J.; Grenon, Pierre; Wimalaratne, Sarala

    2016-01-01

    Motivation: Probability distributions play a central role in mathematical and statistical modelling. The encoding, annotation and exchange of such models could be greatly simplified by a resource providing a common reference for the definition of probability distributions. Although some resources exist, no suitably detailed and complex ontology exists nor any database allowing programmatic access. Results: ProbOnto, is an ontology-based knowledge base of probability distributions, featuring more than 80 uni- and multivariate distributions with their defining functions, characteristics, relationships and re-parameterization formulas. It can be used for model annotation and facilitates the encoding of distribution-based models, related functions and quantities. Availability and Implementation: http://probonto.org Contact: mjswat@ebi.ac.uk Supplementary information: Supplementary data are available at Bioinformatics online. PMID:27153608

  16. A knowledge based severe accident handbook for PWR

    During the last decade the level of knowledge about severe accident phenomena has increased dramatically. The improved understanding has been achieved by extensive research but also from feed-back of experience from actual incidents/accidents such as Three Mile Island and Chernobyl. In Sweden, mitigating measures such as filtered venting and external water source were implemented at all nuclear power plants by 1988. In parallel the Emergency Operating Procedures (at Ringhals called Emergency Response Guidelines, ERG, and Beyond ERG, BERG) were developed to include these new features. However, the accident management system has since then been further improved and one important aspect is the long-term accident management. The new information obtained has been one of the basis for a new knowledge based handbook to support the unit leader and the Technical Support Center. The handbook contains information concerning specific issues in the BERG and advice how the organization can manage a long-term severe accident situation

  17. 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.

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

    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

  19. Structure of the knowledge base for an expert labeling system

    Rajaram, N. S.

    1981-01-01

    One of the principal objectives of the NASA AgRISTARS program is the inventory of global crop resources using remotely sensed data gathered by Land Satellites (LANDSAT). A central problem in any such crop inventory procedure is the interpretation of LANDSAT images and identification of parts of each image which are covered by a particular crop of interest. This task of labeling is largely a manual one done by trained human analysts and consequently presents obstacles to the development of totally automated crop inventory systems. However, development in knowledge engineering as well as widespread availability of inexpensive hardware and software for artificial intelligence work offers possibilities for developing expert systems for labeling of crops. Such a knowledge based approach to labeling is presented.

  20. Model-based reasoning and large-knowledge bases

    In such engineering fields as nuclear power plant engineering, technical information expressed in the form of schematics is frequently used. A new paradigm for model-based reasoning (MBR) and an AI tool called PLEXSYS (plant expert system) using this paradigm has been developed. PLEXSYS and the underlying paradigm are specifically designed to handle schematic drawings, by expressing drawings as models and supporting various sophisticated searches on these models. Two application systems have been constructed with PLEXSYS: one generates PLEXSYS models from existing CAD data files, and the other provides functions for nuclear power plant design support. Since the models can be generated from existing data resources, the design support system automatically has full access to a large-scale model or knowledge base representing actual nuclear power plants. (author)

  1. A Natural Logic for Natural-Language Knowledge Bases

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

    2016-01-01

    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 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....

  2. 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.

  3. 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.

  4. 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.

  5. Knowledge-based requirements analysis for automating software development

    Markosian, Lawrence Z.

    1988-01-01

    We present a new software development paradigm that automates the derivation of implementations from requirements. In this paradigm, informally-stated requirements are expressed in a domain-specific requirements specification language. This language is machine-understable and requirements expressed in it are captured in a knowledge base. Once the requirements are captured, more detailed specifications and eventually implementations are derived by the system using transformational synthesis. A key characteristic of the process is that the required human intervention is in the form of providing problem- and domain-specific engineering knowledge, not in writing detailed implementations. We describe a prototype system that applies the paradigm in the realm of communication engineering: the prototype automatically generates implementations of buffers following analysis of the requirements on each buffer.

  6. 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.

  7. 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.

  8. Autonomous Cryogenic Load Operations: Knowledge-Based Autonomous Test Engineer

    Schrading, J. Nicolas

    2013-01-01

    The Knowledge-Based Autonomous Test Engineer (KATE) program has a long history at KSC. Now a part of the Autonomous Cryogenic Load Operations (ACLO) mission, this software system has been sporadically developed over the past 20 years. Originally designed to provide health and status monitoring for a simple water-based fluid system, it was proven to be a capable autonomous test engineer for determining sources of failure in the system. As part of a new goal to provide this same anomaly-detection capability for a complicated cryogenic fluid system, software engineers, physicists, interns and KATE experts are working to upgrade the software capabilities and graphical user interface. Much progress was made during this effort to improve KATE. A display of the entire cryogenic system's graph, with nodes for components and edges for their connections, was added to the KATE software. A searching functionality was added to the new graph display, so that users could easily center their screen on specific components. The GUI was also modified so that it displayed information relevant to the new project goals. In addition, work began on adding new pneumatic and electronic subsystems into the KATE knowledge base, so that it could provide health and status monitoring for those systems. Finally, many fixes for bugs, memory leaks, and memory errors were implemented and the system was moved into a state in which it could be presented to stakeholders. Overall, the KATE system was improved and necessary additional features were added so that a presentation of the program and its functionality in the next few months would be a success.

  9. Space nuclear reactor system diagnosis: Knowledge-based approach

    SP-100 space nuclear reactor system development is a joint effort by the Department of Energy, the Department of Defense and the National Aeronautics and Space Administration. The system is designed to operate in isolation for many years, and is possibly subject to little or no remote maintenance. This dissertation proposes a knowledge based diagnostic system which, in principle, can diagnose the faults which can either cause reactor shutdown or lead to another serious problem. This framework in general can be applied to the fully specified system if detailed design information becomes available. The set of faults considered herein is identified based on heuristic knowledge about the system operation. The suitable approach to diagnostic problem solving is proposed after investigating the most prevalent methodologies in Artificial Intelligence as well as the causal analysis of the system. Deep causal knowledge modeling based on digraph, fault-tree or logic flowgraph methodology would present a need for some knowledge representation to handle the time dependent system behavior. A proposed qualitative temporal knowledge modeling methodology, using rules with specified time delay among the process variables, has been proposed and is used to develop the diagnostic sufficient rule set. The rule set has been modified by using a time zone approach to have a robust system design. The sufficient rule set is transformed to a sufficient and necessary one by searching the whole knowledge base. Qualitative data analysis is proposed in analyzing the measured data if in a real time situation. An expert system shell - Intelligence Compiler is used to develop the prototype system. Frames are used for the process variables. Forward chaining rules are used in monitoring and backward chaining rules are used in diagnosis

  10. The applicability of knowledge-based scheduling to the utilities industry

    The Electric Power Research Institute (EPRI), Nuclear Power Division, has identified the three major goals of high technology applications for nuclear power plants. These goals are to enhance power production through increasing power generation efficiency, to increase productivity of the operations, and to reduce the threats to the safety of the plant. Our project responds to the second goal by demonstrating that significant productivity increases can be achieved for outage maintenance operations based on existing knowledge-based scheduling technology. Its use can also mitigate threats to potential safety problems by means of the integration of risk assessment features into the scheduler. The scheduling approach uses advanced techniques enabling the automation of the routine scheduling decision process that previously was handled by people. The process of removing conflicts in scheduling is automated. This is achieved by providing activity representations that allow schedulers to express a variety of different scheduling constraints and by implementing scheduling mechanisms that simulate kinds of processes that humans use to find better solutions from a large number of possible solutions. This approach allows schedulers to express detailed constraints between activities and other activities, resources (material and personnel), and requirements that certain states exist for their execution. Our scheduler has already demonstrated its benefit to improving the shuttle processing flow management at Kennedy Space Center. Knowledge-based scheduling techniques should be examined by utilities industry researchers, developers, operators and management for application to utilities planning problems because of its great cost benefit potential. 4 refs., 4 figs

  11. KoBaMIN: a knowledge-based minimization web server for protein structure refinement.

    Rodrigues, João P G L M; Levitt, Michael; Chopra, Gaurav

    2012-07-01

    The KoBaMIN web server provides an online interface to a simple, consistent and computationally efficient protein structure refinement protocol based on minimization of a knowledge-based potential of mean force. The server can be used to refine either a single protein structure or an ensemble of proteins starting from their unrefined coordinates in PDB format. The refinement method is particularly fast and accurate due to the underlying knowledge-based potential derived from structures deposited in the PDB; as such, the energy function implicitly includes the effects of solvent and the crystal environment. Our server allows for an optional but recommended step that optimizes stereochemistry using the MESHI software. The KoBaMIN server also allows comparison of the refined structures with a provided reference structure to assess the changes brought about by the refinement protocol. The performance of KoBaMIN has been benchmarked widely on a large set of decoys, all models generated at the seventh worldwide experiments on critical assessment of techniques for protein structure prediction (CASP7) and it was also shown to produce top-ranking predictions in the refinement category at both CASP8 and CASP9, yielding consistently good results across a broad range of model quality values. The web server is fully functional and freely available at http://csb.stanford.edu/kobamin. PMID:22564897

  12. An architecture for integrating distributed and cooperating knowledge-based Air Force decision aids

    Nugent, Richard O.; Tucker, Richard W.

    1988-01-01

    MITRE has been developing a Knowledge-Based Battle Management Testbed for evaluating the viability of integrating independently-developed knowledge-based decision aids in the Air Force tactical domain. The primary goal for the testbed architecture is to permit a new system to be added to a testbed with little change to the system's software. Each system that connects to the testbed network declares that it can provide a number of services to other systems. When a system wants to use another system's service, it does not address the server system by name, but instead transmits a request to the testbed network asking for a particular service to be performed. A key component of the testbed architecture is a common database which uses a relational database management system (RDBMS). The RDBMS provides a database update notification service to requesting systems. Normally, each system is expected to monitor data relations of interest to it. Alternatively, a system may broadcast an announcement message to inform other systems that an event of potential interest has occurred. Current research is aimed at dealing with issues resulting from integration efforts, such as dealing with potential mismatches of each system's assumptions about the common database, decentralizing network control, and coordinating multiple agents.

  13. LLNL Middle East, North Africa and Western Eurasia Knowledge Base

    O' Boyle, J; Ruppert, S D; Hauk, T F; Dodge, D A; Ryall, F; Firpo, M A

    2001-07-12

    The Lawrence Livermore National Laboratory (LLNL) Ground-Based Nuclear Event Monitoring (GNEM) program has made significant progress populating a comprehensive Seismic Research Knowledge Base (SRKB) and deriving calibration parameters for the Middle East, North Africa and Western Eurasia (ME/NA/WE) regions. The LLNL SRKB provides not only a coherent framework in which to store and organize very large volumes of collected seismic waveforms, associated event parameter information, and spatial contextual data, but also provides an efficient data processing/research environment for deriving location and discrimination correction surfaces. The SRKB is a flexible and extensible framework consisting of a relational database (RDB), Geographical Information System (GIS), and associated product/data visualization and data management tools. This SRKB framework is designed to accommodate large volumes of data (almost 3 million waveforms from 57,000 events) in diverse formats from many sources (both LLNL derived research and integrated contractor products), in addition to maintaining detailed quality control and metadata. We have developed expanded look-up tables for critical station parameter information (including location and response) and an integrated and reconciled event catalog data set (including specification of preferred origin solutions and associated phase arrivals) for the PDE, CMT, ISC, REB and selected regional catalogs. Using the SRKB framework, we are combining traveltime observations, event characterization studies, and regional tectonic models to assemble a library of ground truth information and phenomenology (e.g. travel-time and amplitude) correction surfaces required for support of the ME/NA/WE regionalization program. We also use the SRKB to integrate data and research products from a variety of sources, such as contractors and universities, to merge and maintain quality control of the data sets. Corrections and parameters distilled from the LLNL SRKB

  14. Nuclear reactions video (knowledge base on low energy nuclear physics)

    The NRV (nuclear reactions video) is an open and permanently extended global system of management and graphical representation of nuclear data and video-graphic computer simulation of low energy nuclear dynamics. It consists of a complete and renewed nuclear database and well known theoretical models of low energy nuclear reactions altogether forming the 'low energy nuclear knowledge base'. The NRV solves two main problems: 1) fast and visualized obtaining and processing experimental data on nuclear structure and nuclear reactions; 2) possibility for any inexperienced user to analyze experimental data within reliable commonly used models of nuclear dynamics. The system is based on the realization of the following principal things: the net and code compatibility with the main existing nuclear databases; maximal simplicity in handling: extended menu, friendly graphical interface, hypertext description of the models, and so on; maximal visualization of input data, dynamics of studied processes and final results by means of real three-dimensional images, plots, tables and formulas and a three-dimensional animation. All the codes are composed as the real Windows applications and work under Windows 95/NT

  15. Knowledge-acquisition tools for medical knowledge-based systems.

    Lanzola, G; Quaglini, S; Stefanelli, M

    1995-03-01

    Knowledge-based systems (KBS) have been proposed to solve a large variety of medical problems. A strategic issue for KBS development and maintenance are the efforts required for both knowledge engineers and domain experts. The proposed solution is building efficient knowledge acquisition (KA) tools. This paper presents a set of KA tools we are developing within a European Project called GAMES II. They have been designed after the formulation of an epistemological model of medical reasoning. The main goal is that of developing a computational framework which allows knowledge engineers and domain experts to interact cooperatively in developing a medical KBS. To this aim, a set of reusable software components is highly recommended. Their design was facilitated by the development of a methodology for KBS construction. It views this process as comprising two activities: the tailoring of the epistemological model to the specific medical task to be executed and the subsequent translation of this model into a computational architecture so that the connections between computational structures and their knowledge level counterparts are maintained. The KA tools we developed are illustrated taking examples from the behavior of a KBS we are building for the management of children with acute myeloid leukemia. PMID:9082135

  16. Knowledge Based Help desk System in Nuclear Malaysia

    Knowledge based (K-based) Help desk system is a knowledge oriented web based system that provides support to business process of the technical service providers. It is a multi-centric system which focuses on end-users, technical workers and higher level management through utilization of knowledge which resides and grows within the system. The objectives of the system are to be a user-friendly, capture technical knowledge for efficient performance and educating users for self reliance. These were achieved through the improvement of the help desk business process and better management of technical knowledge. This system has been tested and implemented in Information Technology Center (IT), Engineering Division (BKJ) and Instrumentation and Automation Center (IAC) at the Malaysian Nuclear Agency (Nuclear Malaysia). Higher levels of user satisfaction and faster growth in technical knowledge repository have been recorded in the system. This paper describes the help desk system in the perspective of management of its technical knowledge contributing to strengthening organizational knowledge asset of Nuclear Malaysia as national nuclear research institution. (Author)

  17. RKB: a Semantic Web knowledge base for RNA

    2010-01-01

    Increasingly sophisticated knowledge about RNA structure and function requires an inclusive knowledge representation that facilitates the integration of independently –generated information arising from such efforts as genome sequencing projects, microarray analyses, structure determination and RNA SELEX experiments. While RNAML, an XML-based representation, has been proposed as an exchange format for a select subset of information, it lacks domain-specific semantics that are essential for answering questions that require expert knowledge. Here, we describe an RNA knowledge base (RKB) for structure-based knowledge using RDF/OWL Semantic Web technologies. RKB extends a number of ontologies and contains basic terminology for nucleic acid composition along with context/model-specific structural features such as sugar conformations, base pairings and base stackings. RKB (available at http://semanticscience.org/projects/rkb) is populated with PDB entries and MC-Annotate structural annotation. We show queries to the RKB using description logic reasoning, thus opening the door to question answering over independently-published RNA knowledge using Semantic Web technologies. PMID:20626922

  18. THE ROLE OF INTELLECTUAL CAPITAL IN KNOWLEDGE - BASED SOCIETY

    Denisa-Elena Parpandel

    2013-01-01

    Full Text Available In a knowledge - based society, organizations undergo permanent changes and transformations, and the key factor of such changes is intellectual capital regarded as one of the most critical, yet most strategic values an organization might own. Analyzing intelectual capital and knowledge society over the last decades has primarily emerged in private companies, whereas at present there is an increasing concern in all the fields of activity. The goal of this paper is to emphasize the importance of intellectual capital as a source of innovation and novelty used to create competitive advantages for organizations in the era of knowledge where man must rely on intellect, intuition and creativity. The present paper is an exploratory endeavour based on the qualitative method as various information sources are resorted to in order to conceptualize the terms of intellectual capital and knowledge society: specialty literature, case studies, mass-media articles, reports of in-field organizations etc. Organizations should use all the tangible or non-tangible resources they have in order to secure their success and also to build a knowledge society which involves going a long way, based on an ample, complex process where innovation has a major role and a global nature.

  19. Qualitative processing of uncertainty, conflicts and redundancy in knowledge bases

    This paper describes two techniques, created and implemented in the course of development of the real-time on-line expert system Recon at the Nuclear Research Institute at Rez, Czech Republic. The first of them is the qualitative processing of uncertainty, which is based on the introduction of the third logic value to logic data objects, and the credibility flag to arithmetic data objects. The treatment of the third value and credibility flags during the inference, the explanation method based on the graphic representation and the uncertainty processing during the explanation are also mentioned. The second technique, is a semantic checking of knowledge bases, which enables us to recover parts of the bases, that are meaningless, either because of an error during their implementation into a base, or because they are redundant. The paper includes the explanation of basic terms of this method, such as so called conflicts, K-group and K-situation. The two types of the conflict (dead-end and bubble) are also discussed. The paper also offers the complete mathematical apparatus, which the checking method is based on. (author). 4 refs, tabs

  20. Knowledge-Based Object Detection in Laser Scanning Point Clouds

    Boochs, F.; Karmacharya, A.; Marbs, A.

    2012-07-01

    Object identification and object processing in 3D point clouds have always posed challenges in terms of effectiveness and efficiency. In practice, this process is highly dependent on human interpretation of the scene represented by the point cloud data, as well as the set of modeling tools available for use. Such modeling algorithms are data-driven and concentrate on specific features of the objects, being accessible to numerical models. We present an approach that brings the human expert knowledge about the scene, the objects inside, and their representation by the data and the behavior of algorithms to the machine. This "understanding" enables the machine to assist human interpretation of the scene inside the point cloud. Furthermore, it allows the machine to understand possibilities and limitations of algorithms and to take this into account within the processing chain. This not only assists the researchers in defining optimal processing steps, but also provides suggestions when certain changes or new details emerge from the point cloud. Our approach benefits from the advancement in knowledge technologies within the Semantic Web framework. This advancement has provided a strong base for applications based on knowledge management. In the article we will present and describe the knowledge technologies used for our approach such as Web Ontology Language (OWL), used for formulating the knowledge base and the Semantic Web Rule Language (SWRL) with 3D processing and topologic built-ins, aiming to combine geometrical analysis of 3D point clouds, and specialists' knowledge of the scene and algorithmic processing.

  1. The AI Bus architecture for distributed knowledge-based systems

    Schultz, Roger D.; Stobie, Iain

    1991-01-01

    The AI Bus architecture is layered, distributed object oriented framework developed to support the requirements of advanced technology programs for an order of magnitude improvement in software costs. The consequent need for highly autonomous computer systems, adaptable to new technology advances over a long lifespan, led to the design of an open architecture and toolbox for building large scale, robust, production quality systems. The AI Bus accommodates a mix of knowledge based and conventional components, running on heterogeneous, distributed real world and testbed environment. The concepts and design is described of the AI Bus architecture and its current implementation status as a Unix C++ library or reusable objects. Each high level semiautonomous agent process consists of a number of knowledge sources together with interagent communication mechanisms based on shared blackboards and message passing acquaintances. Standard interfaces and protocols are followed for combining and validating subsystems. Dynamic probes or demons provide an event driven means for providing active objects with shared access to resources, and each other, while not violating their security.

  2. What is a necessary knowledge base for sleep professionals?

    Harding, S M; Hawkins, J W

    2001-09-01

    Sleep medicine is multidisciplinary, and sleep medicine professionals should be trained to evaluate and treat all 88 sleep disorders. Sleep medicine specialists require a fund of knowledge that goes beyond what is obtained during a pulmonary fellowship. Skills required for a pulmonary sleep professional include: sleep medicine, neurobiology, psychiatry, neuro-psychology, neurology, pediatrics, and even limited exposure in otolaryngology, oral maxillofacial surgery, and dentistry. There is a paucity of published information concerning curricular requirements. Required skills for a sleep professional include proficiency in the clinical skills of sleep medicine as well as the technical skills of polysomnography. There is a very large knowledge content area requirement in both the basic sciences of sleep and the clinical aspects of sleep medicine. There are also important clinical skills content areas. As with all medical professionals, sleep professionals should have the highest ethical standards and a strong sense of responsibility toward their patients. A sleep medicine professional also has to be knowledgeable about administrative and legal aspects specific to sleep medicine. This essay reviews a sleep professional knowledge base model with emphasis on the requirements for a pulmonary sleep professional. PMID:11868148

  3. Structural design systems using knowledge-based techniques

    Engineering information management and the corresponding information systems are of a strategic importance for industrial enterprises. This thesis treats the interdisciplinary field of designing computing systems for structural design and analysis using knowledge-based techniques. Specific conceptual models have been designed for representing the structure and the process of objects and activities in a structural design and analysis domain. In this thesis, it is shown how domain knowledge can be structured along several classification principles in order to reduce complexity and increase flexibility. By increasing the conceptual level of the problem description and representation of the domain knowledge in a declarative form, it is possible to enhance the development, maintenance and use of software for mechanical engineering. This will result in a corresponding increase of the efficiency of the mechanical engineering design process. These ideas together with the rule-based control point out the leverage of declarative knowledge representation within this domain. Used appropriately, a declarative knowledge representation preserves information better, is more problem-oriented and change-tolerant than procedural representations. 74 refs

  4. Knowledge-based on-line vibration monitoring diagnose

    ABB STAL developed some years ago a knowledge-based on-line vibration analysis system (working-name KOVA). KOVA is intended to work together with some type of vibration monitoring system, at present it is adapted to TVM 300. KOVA has no controlling function. It will only diagnose the actual situation and give the user explanations and proposals for actions to be taken. During the developing work, great experience has been gained of the features this type of system demands. This paper will present the outlines of the application and also discuss how to make diagnoses based both on general rules as well as on historical vibration cases for that particular unit (or identical units9. Another subject that this paper will outline, is the representation and evaluation of knowledge. KOVA serves as a decision-support system for the operator. Since KOVA will often give the operator more than one possible diagnosis as the cause of a fault, it is of great importance to give the operator comprehensive explanations and as many facts as possible. It is also important to rank the suggested diagnoses in some way. In KOVA these demands are effectively supported. The models and tools used to realize this functionality will be described in this paper

  5. 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.

  6. 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

  7. Quality control in nerve conduction studies with coupled knowledge-based system approach.

    Xiang, Y; Eisen, A; MacNeil, M; Beddoes, M P

    1992-02-01

    Contemporary equipment used for nerve conduction studies is usually capable of computerized measurement of latency, amplitude, duration, and area of nerve and muscle action potentials and resulting conduction velocities. Abnormalities can be due to technical error or disease. Identification of technical error is a major element of quality control in electromyography, and artificial intelligence could be useful for this purpose. We have developed a coupled knowledge-based prototype system (QUALICON) to assess the correctness of recording and stimulating characteristics in routine conduction studies. QUALICON extracts numeric features from CMAPs or SNAPs, which are translated into symbolic form to drive a Bayesian network. The network uses high-level knowledge to infer the quality of stimulating and recording electrode placement as well as polarity and stimulus strength making recommendations as to the likely technical error when abnormal potentials are detected. A preliminary assessment shows that QUALICON performs as well as manual assessment performed by professionals. PMID:1549138

  8. 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.

  9. 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.

  10. "THE KNOWLEDGE TRIANGLE" IN A KNOWLEDGE-BASED SOCIETY

    Rus Mircea-Iosif

    2013-07-01

    Full Text Available The knowledge-based society is the stage where mankind is found and aims to raise the living standards of population but also to increase the level of knowledge. To achieve this latter goal, the states of the world, and especially those in the European Union, must ensure an adequate funding for its realization, and therefore in 2011 it was decided at EU level the achievement of an Innovation Union, in which are to be involved all the European countries, while to stimulate and finance research and innovation the Horizon 2020 program was proposed. The results of the Program, an ”Innovation Union” have begun to be felt, so in 2011, the major companies headquartered in the European Union increased their investments in R&D by 8.9% compared to 6.1% in 2010. This increase was almost equal to that of the U.S.A. companies (9%, higher than the world average (7.6% and superior to Japanese companies (1.5%. The sectors that used the research-development activity have tended to have increases in employment above average. I believe this information highlights the fact that the European Union may become attractive for research-development and innovation investments even for businesses outside the UE, and this can result in jobs creation and increasing competitivenees of this field of the states of the European Union. In the introductory part of the article, I have briefly presented general notions of the three component activities of the ”knowledge triangle”, in the second part I presented the knowledge society with several features, in the third part, I showed some provisions of the program to stimulate research and innovation Horizon 2020, in the fourth part, I presented an innovation activity connection to private enterprise and entrepreneurial initiative stimulation in the field innovation, and the conclusions shows that research does not stop with achieving the objectives and finding the outcomes research, but is it the background for further

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

    Galle, Per

    for support of artefact design. The problem arises to the extent that such systems are inherently deterministic and rely on symbolic representations of the vague concepts: Should the system behaviour reflect the vagueness of the represented concepts (for example by simulating non-determinism)? And......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...... should we try to accommodate the vagueness of concepts in our symbolic representations of them (for example using fuzzy logic)? In this paper I discuss the problem in a context of design support systems, and reach a conclusion in favour of a negative answer to these questions....

  12. 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...... hand, it facilitates the selection of proper monitoring and analysis tools for a given application or process. On the other hand, it permits the identification of potential applications for a given monitoring technique or tool. An efficient inference system based on forward as well as reverse search......Efficient process monitoring and analysis tools provide the means for automated supervision and control of manufacturing plants and therefore play an important role in plant safety, process control and assurance of end product quality. The availability of a large number of different process...

  13. TEXSYS. [a knowledge based system for the Space Station Freedom thermal control system test-bed

    Bull, John

    1990-01-01

    The Systems Autonomy Demonstration Project has recently completed a major test and evaluation of TEXSYS, a knowledge-based system (KBS) which demonstrates real-time control and FDIR for the Space Station Freedom thermal control system test-bed. TEXSYS is the largest KBS ever developed by NASA and offers a unique opportunity for the study of technical issues associated with the use of advanced KBS concepts including: model-based reasoning and diagnosis, quantitative and qualitative reasoning, integrated use of model-based and rule-based representations, temporal reasoning, and scale-up performance issues. TEXSYS represents a major achievement in advanced automation that has the potential to significantly influence Space Station Freedom's design for the thermal control system. An overview of the Systems Autonomy Demonstration Project, the thermal control system test-bed, the TEXSYS architecture, preliminary test results, and thermal domain expert feedback are presented.

  14. 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.

  15. 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 traditional logic, pointing to essential differences to description logic. We conclude with a knowledge base set-up with an embedding into clausal logic, offering also a graph view of the sentences.

  16. Detecting Knowledge Base Inconsistencies Using Automated Generation of Text and Examples

    Mittal, Vibhu O.; Moore, Johanna D.

    1996-01-01

    Verifying the fidelity of domain representation in large knowledge bases (KBs) is a difficult problem: domain experts are typically not experts in knowledge representation languages, and as knowledge bases grow more complex, visual inspection of the various terms and their abstract definitions, their inter-relationships and the limiting, boundary cases becomes much harder. This paper presents an approach to help verify and refine abstract term definitions in knowledge bases. It assumes that i...

  17. A knowledge-based intelligent system for surface texture (virtual surf)

    Yan WANG

    2008-01-01

    The presented thesis documents the investigation and development of the mathematical foundations for a novel knowledge-based system for surface texture (VitualSurf system). This is the first time that this type of novel knowledge-based system has been tried on surface texture knowledge. It is important to realize that surface texture knowledge, based on new generation Geometrical Product Specification (GPS) system, are considered to be too theoretical, abstract, complex and ove...

  18. The logic of heterarchies: Making organizations competitive for knowledge-based competition

    Reihlen, Markus

    1996-01-01

    An increasing number of firms are moving into a new form of competition which can be described as knowledge-based competition. Firms in knowledge-based rivalry are competing mostly on their learning capabilities. The relative importance of capital and labor as a key input factor in the production process is diminishing in favor of knowledge. Accordingly, firms in knowledge-based competition can be labeled as knowledge-intensive in contrast to capital- or labor-intensive firms (Starbuck, 1992)...

  19. Complenteness of Diamond-Resolution in Or-type Knowledge Bases

    Sakai, Hiroshi

    1989-01-01

    The framework of the $ or $-type knowledge base is proposed to deal with disjunctive information in knowledge bases. Recently, it is an important problem how effectively we use information which may have some incompleteness. In or-type knowledge bases, the predicate symbols are only restricted to $ or^m $, where the superscript $ m $ implies the arity, and any disjunctive information is included in a predicate as arguments. The two systems are naturally defined for the incompleteness of the d...

  20. Ontological Knowledge Base of Physical and Technical Effects for Conceptual Design of Sensors

    This article discusses design of the knowledge base of physical phenomena based on domain-specific ontology. Classification of various physical phenomena in the knowledge base is based on energy-information model of circuits (EIMC) suggested by the authors. This model is specially aimed at design of new operating principles of sensing elements (sensors). Such a knowledge base can be used to train intended engineers, specialists in sensors design

  1. Knowledge-based Systems and Interestingness Measures: Analysis with Clinical Datasets

    Christopher, Jabez J.; Khanna H. Nehemiah; Kannan Arputharaj

    2016-01-01

    Knowledge mined from clinical data can be used for medical diagnosis and prognosis. By improving the quality of knowledge base, the efficiency of prediction of a knowledge-based system can be enhanced. Designing accurate and precise clinical decision support systems, which use the mined knowledge, is still a broad area of research. This work analyses the variation in classification accuracy for such knowledge-based systems using different rule lists. The purpose of this work is not to improve...

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

    Anchalee Jansem

    2014-01-01

    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, oth...

  3. Integration, Provenance, and Temporal Queries for Large-Scale Knowledge Bases

    GAO, SHI

    2016-01-01

    Knowledge bases that summarize web information in RDF triples deliver many benefits, including support for natural language question answering and powerful structured queries that extract encyclopedic knowledge via SPARQL. Large scale knowledge bases grow rapidly in terms of scale and significance, and undergo frequent changes in both schema and content. Two critical problems have thus emerged: (i) how to support temporal queries that explore the history of knowledge bases or flash-back to th...

  4. A knowledge-based structure-discriminating function that requires only main-chain atom coordinates

    Itoh Nobuya

    2008-10-01

    Full Text Available Abstract Background The use of knowledge-based potential function is a powerful method for protein structure evaluation. A variety of formulations that evaluate single or multiple structural features of proteins have been developed and studied. The performance of functions is often evaluated by discrimination ability using decoy structures of target proteins. A function that can evaluate coarse-grained structures is advantageous from many aspects, such as relatively easy generation and manipulation of model structures; however, the reduction of structural representation is often accompanied by degradation of the structure discrimination performance. Results We developed a knowledge-based pseudo-energy calculating function for protein structure discrimination. The function (Discriminating Function using Main-chain Atom Coordinates, DFMAC consists of six pseudo-energy calculation components that deal with different structural features. Only the main-chain atom coordinates of N, Cα, and C atoms for the respective amino acid residues are required as input data for structure evaluation. The 231 target structures in 12 different types of decoy sets were separated into 154 and 77 targets, and function training and the subsequent performance test were performed using the respective target sets. Fifty-nine (76.6% native and 68 (88.3% near-native (α RMSD targets in the test set were successfully identified. The average Cα RMSD of the test set resulted in 1.174 with the tuned parameters. The major part of the discrimination performance was supported by the orientation-dependent component. Conclusion Despite the reduced representation of input structures, DFMAC showed considerable structure discrimination ability. The function can be applied to the identification of near-native structures in structure prediction experiments.

  5. A Knowledge-Based Simulated Annealing Algorithm to Multiple Satellites Mission Planning Problems

    Da-Wei Jin; Li-Ning Xing

    2013-01-01

    The multiple satellites mission planning is a complex combination optimization problem. A knowledge-based simulated annealing algorithm is proposed to the multiple satellites mission planning problems. The experimental results suggest that the proposed algorithm is effective to the given problem. The knowledge-based simulated annealing method will provide a useful reference for the improvement of existing optimization approaches.

  6. The Knowledge Base as an Extension of Distance Learning Reference Service

    Casey, Anne Marie

    2012-01-01

    This study explores knowledge bases as extension of reference services for distance learners. Through a survey and follow-up interviews with distance learning librarians, this paper discusses their interest in creating and maintaining a knowledge base as a resource for reference services to distance learners. It also investigates their perceptions…

  7. Development of a tool for knowledge base verification of expert system based on Design/CPN

    Verification is a necessary work in developing a reliable expert system. 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. Generally, verification process requires computational support by automated tools. For this reason, this study developed a tool for knowledge base verification based on Design/CPN, which is a tool for editing, modeling, and simulating Colored Petri net. This tool uses Enhanced Colored Petri net as a modeling method. By applying this tool to the knowledge base of nuclear power plant, it is noticed that it can successfully check most of the anomalies that can occur in a knowledge base

  8. 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...

  9. A Model of Knowledge Based Information Retrieval with Hierarchical Concept Graph.

    Kim, Young Whan; Kim, Jin H.

    1990-01-01

    Proposes a model of knowledge-based information retrieval (KBIR) that is based on a hierarchical concept graph (HCG) which shows relationships between index terms and constitutes a hierarchical thesaurus as a knowledge base. Conceptual distance between a query and an object is discussed and the use of Boolean operators is described. (25…

  10. Use programming language Python for construction of knowledge bases and expert systems

    Копей, Володимир Богданович; Семанишин, Леся Михайлівна

    2012-01-01

    On the basis of frames for knowledge representation have been proposed principles for the development of knowledge bases and expert systems on general-purpose programming language Python. Object-oriented and introspection capabilities of Python have been analyzed. The demo of knowledge base and the examples of querying to it have been developed

  11. The Knowledge Base: Issues for Liberal Arts Colleges. AILACTE Occasional Paper No. 7.

    Diez, Mary E.

    The phrase "the knowledge base" conveys the sense that there is one, monolithic set of information waiting to be codified and promulgated, probably available only through someone else's research. This paper argues that the knowledge base for teaching is continually being created and interpreted, especially by practitioners. The facts frequently…

  12. KBTAC: EPRI's center to assist the nuclear industry to apply the knowledge-based technology

    The nuclear utility industry's complex engineering and procedure systems offer many opportunities for use of the knowledge-based technology such as expert systems and neural networks. The ability of expert systems to enhance human experts makes them an important tool in the areas of engineering, operations and maintenance. However, many current industry applications are research projects or turnkey systems supplied by vendors. These often do not impart to utility technical staff a clear understanding of the capabilities of knowledge-based systems (KBS). More importantly, simply using completed applications does not meet utilities' need to acquire the capabilities to build their own knowledge-based systems. Thus, EPRI is supporting its member utilities utilization of knowledge-based technology for power plant engineering, operations, and maintenance applications through the establishment of the Knowledge-Based Technology Application Center (KBTAC)

  13. Knowledge based decision making: perspective on natural gas production

    Ydstie, B. Erik; Stuland, Kjetil M.

    2009-07-01

    Conclusions (drawn by the author): Decarbonization of energy sources - From coal to renewable. Natural Gas Abundantly available - Norway is no. 3 exporter. Natural gas important as - Hydrogen source for chemicals; - Electricity; - End consumer usage (heating etc). Large potential for application of model based decision making; - Where and when to install platforms and drill wells - How to operate platforms and pipeline systems; - How to operate and optimize chemical production; - Optimization of electricity generation systems. (author)

  14. A Knowledge base representing Porter's Five Forces Model

    De Swaan Arons, H.; Waalewijn, Ph.

    1999-01-01

    textabstractStrategic Analysis and Planning is a field in which expertise and experience are key factors. In order to decide on strategic matters such as the competitive position of a company experts heavily lean on their ability to reason with uncertain or incomplete knowledge, or in other words on their experience and expertise. An important aspect is to assess a company's profit potential in the industry for which Porter's Competitive Forces Model is by far the most widely used framework. ...

  15. Issues involved in a knowledge-based approach to procedure synthesis

    Many knowledge-based systems (KBSs) have been built to assist human operators in managing nuclear power plant operating functions, such as monitoring, fault diagnosis, alarm filtering, and procedure management. For procedure management, KBSs have been built to display and track existing written procedures or to dynamically follow procedure execution by monitoring plant data and action execution and suggesting recovery steps. More recent works build KBSs able to synthesize procedures. This paper addresses and examines the main issues related to the implementation of on-line procedure synthesis using KBSs. A KBS for procedure synthesis can provide a more robust and effective procedural plan during accidents. Currently existing procedures for abnormal plant conditions, written as precompiled step sets based on the event and symptom approaches, are inherently not robust because anticipation of all potential plant states and associated plant responses is not possible. Thus, their failure recovery capability is limited to the precompiled set. Procedure synthesis has the potential to overcome these two problems because it does not require such precompilation of large sets of plant states and associated recovery procedures. Other benefits obtained from a complete procedure synthesis system are providing (a) a methodology for off-line procedure verification and (b) a methodology for the eventual automation of plant operations

  16. STransE: a novel embedding model of entities and relationships in knowledge bases

    Nguyen, Dat Quoc; Sirts, Kairit; Qu, Lizhen; Johnson, Mark

    2016-01-01

    Knowledge bases of real-world facts about entities and their relationships are useful resources for a variety of natural language processing tasks. However, because knowledge bases are typically incomplete, it is useful to be able to perform link prediction, i.e., predict whether a relationship not in the knowledge base is likely to be true. This paper combines insights from several previous link prediction models into a new embedding model STransE that represents each entity as a low-dimensi...

  17. Integrating knowledge-based, hypermedia and conventional software systems in engineering applications

    KISS features presented in the paper use as an example the ESR (ESR -Expert System for Remaining life assessment) knowledge based (expert) system of MPA Stuttgart. ESR is a system that provides technical support to engineers performing assessment and management of remaining life of the high temperature pressurized components (mainly piping) in power plants. The concept is and will be used also in other MPA's knowledge-based systems, like for instance those for the leak-before-break analysis (ELBA) or the one for the knowledge-based documentation management (WISDOM). (orig./DG)

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

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

    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...... that the knowledge bases differ significantly between leading wind turbine firms in Europe and Asia. Europe’s leading firms have broader and deeper knowledge bases than their Asian counterparts. In contrast, the leading Chinese firms, with their unidirectional knowledge networks, are highly domestic in...

  19. 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.

  20. 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

  1. A Knowledge-Based Representation Scheme for Environmental Science Models

    Keller, Richard M.; Dungan, Jennifer L.; Lum, Henry, Jr. (Technical Monitor)

    1994-01-01

    One of the primary methods available for studying environmental phenomena is the construction and analysis of computational models. We have been studying how artificial intelligence techniques can be applied to assist in the development and use of environmental science models within the context of NASA-sponsored activities. We have identified several high-utility areas as potential targets for research and development: model development; data visualization, analysis, and interpretation; model publishing and reuse, training and education; and framing, posing, and answering questions. Central to progress on any of the above areas is a representation for environmental models that contains a great deal more information than is present in a traditional software implementation. In particular, a traditional software implementation is devoid of any semantic information that connects the code with the environmental context that forms the background for the modeling activity. Before we can build AI systems to assist in model development and usage, we must develop a representation for environmental models that adequately describes a model's semantics and explicitly represents the relationship between the code and the modeling task at hand. We have developed one such representation in conjunction with our work on the SIGMA (Scientists' Intelligent Graphical Modeling Assistant) environment. The key feature of the representation is that it provides a semantic grounding for the symbols in a set of modeling equations by linking those symbols to an explicit representation of the underlying environmental scenario.

  2. Innovative Knowledge Based System – Decision Support System for Diagnosis of Carcinogenesis

    N.P. Gopalan

    2015-04-01

    Full Text Available Medical diagnosis is one of the most important significant applications of computer science. Knowledge based system is to produce intelligent machine or software which emulate human being’s intelligence. Integration of artificial Intelligence and knowledge based systems leads to a new technology. Application of knowledge based system has been aptly applied to make diagnosis process easier and faster. Earlier diagnosis of carcinogenesis saves enormous lives. The goal of this paper is to evaluate the risk factor of lung cancer disease using knowledge based systems - artificial neural network, fuzzy and expert system and the implementation of ANN using back propagation , fuzzy system with linguistic variables ,membership function along with using expert system rules and image processing. . In this paper the diagnosis systems are demonstrated using neuro fuzzy, expert systems and image processing.

  3. 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.

  4. 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.

  5. 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.

  6. 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

  7. Quality of institutional systems for global knowledge-based economy and convergence process in the European Union

    Adam P. Balcerzak; Pietrzak, Michał Bernard

    2016-01-01

    The use of the potential of economic convergence is one of the key challenges of economic policy in case of European Union. Due to structural changes that have led to the growing role of knowledge-based economy (KBE), the analysis made in the paper is based on the assumption that the convergences process of the EU countries takes place in the reality of the KBE, thus in order to facilitate it, all the EU members should concentrate on building institutions that are adequate to the conditions o...

  8. Uncertainty management in knowledge based systems for nondestructive testing-an example from ultrasonic testing

    The use of fuzzy logic, as a framework for uncertainty management, in a knowledge-based system (KBS) for ultrasonic testing of austenitic stainless steels is described. Parameters that may contain uncertain values are identified. Methodologies to handle uncertainty in these parameters using fuzzy logic are detailed. The overall improvement in the performance of the knowledge-based system after incorporating fuzzy logic is discussed. The methodology developed being universal, its extension to other KBS for nondestructive testing and evaluation is highlighted. (author)

  9. 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.

  10. 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...

  11. The Geography and Structure of Global Innovation Networks: A Knowledge Base Perspective

    Liu, Ju; Chaminade , Cristina; Asheim, Bjørn

    2012-01-01

    This paper explores the geography and structure of global innovation networks (GINs) of two multinational companies belonging to industries with different knowledge bases. It contributes to existing literature on knowledge bases, by studying both intra-firm and inter-firm GINs. By means of social network analysis based on primary data, we identify two different forms of GINs, namely the globallyorganised model and the locally-organised model. The paper finds that, in addition to influencing t...

  12. Characteristics of Knowledge-Based Economy and New Technologies in Education

    Sorin BURLACU

    2011-01-01

    The work aims to investigate some characteristics of a knowledge based economy and on the other hand the new technologies used in education. We recognize the extraordinary technical performance of current electronic systems. But they respond to actual needs of society in education? In this paper we try to answer the following questions: What are the characteristics of knowledge-based economy in terms of education?; What are the new technologies used in education?; What are the major problems ...

  13. Ontology management in a service-oriented architecture: Architecture of an knowledge base access service

    Moßgraber, Jürgen; Rospocher, M.

    2012-01-01

    An increasing number of information systems integrate semantic data stores for managing ontologies. To access these knowledge bases most of the available implementations provide application programming interfaces (APIs). The implementations of these APIs normally do not support any kind of network protocol or service interface. This works fine as long as a monolithic system is developed. If the need arises to integrate such a knowledge base into a service-oriented architecture a different app...

  14. An object-oriented, knowledge-based system for cardiovascular rehabilitation--phase II.

    Ryder, R. M.; Inamdar, B.

    1995-01-01

    The Heart Monitor is an object-oriented, knowledge-based system designed to support the clinical activities of cardiovascular (CV) rehabilitation. The original concept was developed as part of graduate research completed in 1992. This paper describes the second generation system which is being implemented in collaboration with a local heart rehabilitation program. The PC UNIX-based system supports an extensive patient database organized by clinical areas. In addition, a knowledge base is empl...

  15. Putting the Spotlight on Attribute Definition:a knowledge base approach

    Jonelle Cleland; Abbie Rogers

    2010-01-01

    Attributes definition is a crucial, yet neglected topic of critical inquiry in the choice modelling literature. In a policy context, attributes should reflect public interests. However, guidance on how to go about achieving this criterion is lacking. To address this concern, we offer a novel approach to attribute definition – the knowledge base approach. A knowledge base is the particular ‘lens’ through which a shared understanding of a topic is gained (i.e. different groups of people view th...

  16. 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’ performance and assets in the emerging knowledge-based economy. In a second stage, the framework is applied to the Portuguese metropolis of Porto and Lisbon in order to illustrate how the current tende...

  17. How Easy is it to Learn a Controlled Natural Language for Building a Knowledge Base?

    Williams, Sandra; Power, Richard; Third, Allan

    2014-01-01

    Recent developments in controlled natural language editors for knowledge engineering (KE) have given rise to expectations that they will make KE tasks more accessible and perhaps even enable non-engineers to build knowledge bases. This exploratory research focussed on novices and experts in knowledge engineering during their attempts to learn a controlled natural language (CNL) known as OWL Simplified English and use it to build a small knowledge base. Participants' behaviours during the task...

  18. A process to maintain the quality of a computerized knowledge base.

    Kuperman, G. J.; Fiskio, J. M.; Karson, A.

    1999-01-01

    As part of a project to develop knowledge-based reminders for the outpatient setting, we developed a process to help maintain the quality of the knowledge base. The knowledge engineering process involved many parties, including several domain experts, a knowledge engineer, and a programmer and a process was necessary to assure that information transfer among individuals did not become confused. An MS Access database was created to store, among other data, textual versions of the rules as they...

  19. An Integrated Knowledge Base System Architecture for Histopathological Diagnosis of Breast Diseases

    Aderonke A Kayode; Babajide S.Afolabi; Adelusola, Kayode A

    2012-01-01

    The histopathological diagnosis of breast diseases requires highly trained and experienced experts, and often strains pathologists’ cognitive capabilities. Accurate and timely diagnosis of breast diseases is essential for the appropriate management of the patients. The paper presents a knowledge base system that uses a combination of rule-based and case-based techniques to achieve the diagnosis. Rule-based systems handle problems with well-defined knowledge bases this limits the flexibility o...

  20. Aspects regarding the Romania’s position in the global competition of knowledge-based economy

    Harangus, Daniela; Duda-Daianu, Dana Codruta

    2008-01-01

    The objectives of proposed research are fits into the context of reflecting the level of development reached by our country, developments in information and knowledge-based society. We consider relevant for our research the approach and the diagnosis of our country's position in the global competition of the knowledge-based economy, through representative models of strategic analysis. Taken into account the fundamental importance of information and communication technology (ICT) for supportin...

  1. Human capital in the knowledge-based society: comparative analysis: Romania-Portugal

    Martins, Dora; Laura-Maria DINDIRE

    2013-01-01

    The current economic crisis has rushed even more the economists’ concerns to identify new directions for the sustainable development of the society. In this context, the human capital is crystallised as the key variable of the creative economy and of the knowledge-based society. As such, we have directed the research underlying this paper to identifying the most eloquent indicators of human capital to meet the demands of the knowledge-based society and sustainable development as well as towar...

  2. Organizational choice in R&D alliances: Knowledge-based and transaction cost perspectives

    Rachelle C. Sampson

    2004-01-01

    This study examines how firms choose organizational form for their R&D alliances. Encouraging cooperation in these alliances is often challenging, given the difficulties in knowledge sharing between partners and protecting the property rights over partner knowledge. Interestingly, knowledge-based and transaction cost perspectives generate different hypotheses on alliance organization choice in this setting. When partner knowledge bases are very different, the risk of unintended transfer or le...

  3. The Service Sector of a Knowledge-based Economy – a Comparative Study

    Grazyna Wegrzyn

    2013-01-01

    The study objective was identification of the service industries that determine the rate and lines of development of a knowledge-based economy. The analysis covered the EU member countries and the years of 2008-2012. This report consists of four sections. The first one provides the characteristics of a knowledge-based economy and describes the role of services sector in progressing towards this stage of development. The second section offers a classification of services that led to establishi...

  4. Towards a knowledge-based system to assist the Brazilian data-collecting system operation

    Rodrigues, Valter; Simoni, P. O.; Oliveira, P. P. B.; Oliveira, C. A.; Nogueira, C. A. M.

    1988-01-01

    A study is reported which was carried out to show how a knowledge-based approach would lead to a flexible tool to assist the operation task in a satellite-based environmental data collection system. Some characteristics of a hypothesized system comprised of a satellite and a network of Interrogable Data Collecting Platforms (IDCPs) are pointed out. The Knowledge-Based Planning Assistant System (KBPAS) and some aspects about how knowledge is organized in the IDCP's domain are briefly described.

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

    Burja Camelia

    2012-01-01

    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...

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

    Burja Camelia

    2012-01-01

    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...

  7. A Cost-Effective Knowledge-Based Reasoning System for Design for Automation.

    Shehab, Essam; H. S. Abdalla

    2006-01-01

    Design for assembly automation (DFAA) is an important part of the concurrent engineering strategy for reduction of product manufacturing costs and lead times. An intelligent knowledge-based system (KBS) for design for automation and early cost modelling within a concurrent engineering environment has been developed. This paper focuses upon the development of the design for an assembly automation system. The system framework encompasses an extensive knowledge-based reasoning system, a CAD syst...

  8. Design and Development of a Maintenance Knowledge-Base System Based on Common KADS Methodology

    Arab Maki, Alireza; Shariat Zadeh, Navid

    2010-01-01

    The objective of this thesis is to design and develop a knowledge base model to support the maintenance system structure. The aim of this model is to identify the failure modes which are the heart of maintenance system through the functional analysis and then serves as adecision support system to define the maintenance tasks and finally to implement a preventive maintenance task. This knowledge base management system is suitable to design and develop maintenance system since it encompasses al...

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

    Robert T. Hans; Pantaleo M.D. Rwelamila

    2012-01-01

    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 perceive...

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

    Ion IVAN; Marius POPA; Dragoş PALAGHITA; Bogdan VINTILĂ; Mihai DOINEA

    2011-01-01

    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 base...

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

    ZAMFIR Andreea

    2010-01-01

    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 de...

  12. Knowledge management – a source of sustainable competitiveness in the knowledge based economy

    Claudia OGREAN

    2006-01-01

    Confirming the well known thesis knowledge is power, A. Toffler argued that the knowledge based society represents the acme of the human society development and P. Drucker said that the developed countries passing through the knowledge based society represents the biggest change of the modern world. That made possible and helped the emerging of the managerial revolution (defined as knowledge applied to knowledge itself) at the firm’s level. Under these circumstances, knowledge has to be seen ...

  13. MHCWeb: converting a WWW database into a knowledge-based collaborative environment.

    Hon, L.; Abernethy, N. F.; Brusic, V.; Chai, J.; Altman, R B

    1998-01-01

    The World Wide Web (WWW) is useful for distributing scientific data. Most existing web data resources organize their information either in structured flat files or relational databases with basic retrieval capabilities. For databases with one or a few simple relations, these approaches are successful, but they can be cumbersome when there is a data model involving multiple relations between complex data. We believe that knowledge-based resources offer a solution in these cases. Knowledge base...

  14. Trends in the Marketing Development within the Context of the Knowledge Based Economy

    Valerica Olteanu

    2006-01-01

    Nowadays, human society is passing through a new stage called knowledge based economy. This concept is reflected in a specific way in the marketing theory. We know that marketing, as a science, appeared as an answer to the development of Economy. The Romanian marketing school places at the origins of marketing the social-economic dynamism. From this point of view, we believe that the science of marketing itself an element that explains knowledge based economy. However, with the premises of th...

  15. Managing Dependencies in Knowledge-Based Systems: A Graph-Based Approach

    Tapankov, Martin

    2009-01-01

    In knowledge-based engineering, the inference engine plays an important part in the behaviour of the system. A flexible and adaptive execution scheme allows the designer to experiment with different modes of operation and selecting an appropriate one with respect to the initial data set and the execution goal. In this project, an extension of an existing research prototype software in the field of knowledge-based engineering will be developed, with the goal of building a reliable and easy to ...

  16. Diagnosis by integrating model-based reasoning with knowledge-based reasoning

    Bylander, Tom

    1988-01-01

    Our research investigates how observations can be categorized by integrating a qualitative physical model with experiential knowledge. Our domain is diagnosis of pathologic gait in humans, in which the observations are the gait motions, muscle activity during gait, and physical exam data, and the diagnostic hypotheses are the potential muscle weaknesses, muscle mistimings, and joint restrictions. Patients with underlying neurological disorders typically have several malfunctions. Among the problems that need to be faced are: the ambiguity of the observations, the ambiguity of the qualitative physical model, correspondence of the observations and hypotheses to the qualitative physical model, the inherent uncertainty of experiential knowledge, and the combinatorics involved in forming composite hypotheses. Our system divides the work so that the knowledge-based reasoning suggests which hypotheses appear more likely than others, the qualitative physical model is used to determine which hypotheses explain which observations, and another process combines these functionalities to construct a composite hypothesis based on explanatory power and plausibility. We speculate that the reasoning architecture of our system is generally applicable to complex domains in which a less-than-perfect physical model and less-than-perfect experiential knowledge need to be combined to perform diagnosis.

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

    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.

  18. Planning and design of a knowledge based system for green manufacturing management

    Kamal Mohd Nawawi, Mohd; Mohd Zuki Nik Mohamed, Nik; Shariff Adli Aminuddin, Adam

    2013-12-01

    This paper presents a conceptual design approach to the development of a hybrid Knowledge Based (KB) system for Green Manufacturing Management (GMM) at the planning and design stages. The research concentrates on the GMM by using a hybrid KB system, which is a blend of KB system and Gauging Absences of Pre-requisites (GAP). The hybrid KB/GAP system identifies all potentials elements of green manufacturing management issues throughout the development of this system. The KB system used in the planning and design stages analyses the gap between the existing and the benchmark organizations for an effective implementation through the GAP analysis technique. The proposed KBGMM model at the design stage explores two components, namely Competitive Priority and Lean Environment modules. Through the simulated results, the KBGMM System has identified, for each modules and sub-module, the problem categories in a prioritized manner. The System finalized all the Bad Points (BP) that need to be improved to achieve benchmark implementation of GMM at the design stage. The System provides valuable decision making information for the planning and design a GMM in term of business organization.

  19. Nonstructural urban stormwater quality measures: building a knowledge base to improve their use.

    Taylor, André C; Fletcher, Tim D

    2007-05-01

    This article summarizes a research project that investigated the use, performance, cost, and evaluation of nonstructural measures to improve urban stormwater quality. A survey of urban stormwater managers from Australia, New Zealand, and the United States revealed a widespread trend of increasing use of nonstructural measures among leading stormwater management agencies, with at least 76% of 41 types of nonstructural measures being found to be increasing in use. Data gathered from the survey, an international literature review, and a multicriteria analysis highlighted four nonstructural measures of greatest potential value: mandatory town planning controls that promote the adoption of low-impact development principles and techniques; development of strategic urban stormwater management plans for a city, shire, or catchment; stormwater management measures and programs for construction/building sites; and stormwater management activities related to municipal maintenance operations such as maintenance of the stormwater drainage network and manual litter collections. Knowledge gained on the use and performance of nonstructural measures from the survey, literature review, and three trial evaluation projects was used to develop tailored monitoring and evaluation guidelines for these types of measure. These guidelines incorporate a new evaluation framework based on seven alternative styles of evaluation that range from simply monitoring whether a nonstructural measure has been fully implemented to monitoring its impact on waterway health. This research helps to build the stormwater management industry's knowledge base concerning nonstructural measures and provides a practical tool to address common impediments associated with monitoring and evaluating the performance and cost of these measures. PMID:17387545

  20. A knowledge based operator support system for emergency conditions in nuclear power plants

    The control centres of the operating Indian nuclear power plants contain a large number of indicators and controls spread over many panels. In the event of onset of an emergency condition, there results a profusion of information, both numeric and symbolic. The operator may succumb to an information and cognitive overload that may be compounded by a lack of knowledge. The failure to apply knowledge and reasoning to solve an operational problem can lead to human error, which has been a major contributing factor in nuclear accidents. From the viewpoint of Artificial Intelligence, human error occurs if the operational problem requires computing resources that exceed human capabilities. The application of Artificial Intelligence, particularly expert systems, to nuclear power plant control room activities has considerable potential to reduce operator error and improve safety and reliability. The purpose of this paper is to discuss an investigative study of the feasibility of developing an operator support system incorporating Artificial Intelligence techniques. An information processing model of such a system, herein designated as Knowledge Based Operator Support System - KBOSS, employing expert systems technology, has been developed. The features of this system are described, and issues involved in its development are discussed. (author). 2 refs., 5 figs., 1 tab

  1. 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

    2015-01-01

    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. PMID:26402459

  2. A knowledge-based approach to the CADx of mammographic masses

    Elter, Matthias; Haßlmeyer, Erik

    2008-03-01

    Today, mammography is recognized as the most effective technique for breast cancer screening. Unfortunately, the low positive predictive value of breast biopsy examinations resulting from mammogram interpretation leads to many unnecessary biopsies performed on benign lesions. In the last years, several computer assisted diagnosis (CADx) systems have been proposed with the goal to assist the radiologist in the discrimination of benign and malignant breast lesions and thus to reduce the high number of unnecessary biopsies. In this paper we present a novel, knowledge-based approach to the computer aided discrimination of mammographic mass lesions that uses computer-extracted attributes of mammographic masses and clinical data as input attributes to a case-based reasoning system. Our approach emphasizes a transparent reasoning process which is important for the acceptance of a CADx system in clinical practice. We evaluate the performance of the proposed system on a large publicly available mammography database using receiver operating characteristic curve analysis. Our results indicate that the proposed CADx system has the potential to significantly reduce the number of unnecessary breast biopsies in clinical practice.

  3. 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.

  4. 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. PMID:26631432

  5. Planning and design of a knowledge based system for green manufacturing management

    This paper presents a conceptual design approach to the development of a hybrid Knowledge Based (KB) system for Green Manufacturing Management (GMM) at the planning and design stages. The research concentrates on the GMM by using a hybrid KB system, which is a blend of KB system and Gauging Absences of Pre-requisites (GAP). The hybrid KB/GAP system identifies all potentials elements of green manufacturing management issues throughout the development of this system. The KB system used in the planning and design stages analyses the gap between the existing and the benchmark organizations for an effective implementation through the GAP analysis technique. The proposed KBGMM model at the design stage explores two components, namely Competitive Priority and Lean Environment modules. Through the simulated results, the KBGMM System has identified, for each modules and sub-module, the problem categories in a prioritized manner. The System finalized all the Bad Points (BP) that need to be improved to achieve benchmark implementation of GMM at the design stage. The System provides valuable decision making information for the planning and design a GMM in term of business organization

  6. Development of the Knowledge-based & Empirical Combined Scoring Algorithm (KECSA) to Score Protein-Ligand Interactions

    Zheng, Zheng

    2013-01-01

    We describe a novel knowledge-based protein-ligand scoring function that employs a new definition for the reference state, allowing us to relate a statistical potential to a Lennard-Jones (LJ) potential. In this way, the LJ potential parameters were generated from protein-ligand complex structural data contained in the PDB. Forty-nine types of atomic pairwise interactions were derived using this method, which we call the knowledge-based and empirical combined scoring algorithm (KECSA). Two validation benchmarks were introduced to test the performance of KECSA. The first validation benchmark included two test sets that address the training-set and enthalpy/entropy of KECSA The second validation benchmark suite included two large-scale and five small-scale test sets to compare the reproducibility of KECSA with respect to two empirical score functions previously developed in our laboratory (LISA and LISA+), as well as to other well-known scoring methods. Validation results illustrate that KECSA shows improved performance in all test sets when compared with other scoring methods especially in its ability to minimize the RMSE. LISA and LISA+ displayed similar performance using the correlation coefficient and Kendall τ as the metric of quality for some of the small test sets. Further pathways for improvement are discussed which would KECSA more sensitive to subtle changes in ligand structure. PMID:23560465

  7. Phenomena identification ranking table and knowledge base gaps and needs for the modular high-temperature gas-cooled reactor

    The U.S. is developing a modular high-temperature gas-cooled reactor (MHTGR) under the Next Generation Nuclear Plant (NGNP); also known as the Very High Temperature Reactor (VHTR). The generic MHTGR is a graphite-moderated, gas-cooled reactor (GCR) of either a prismatic modular (block-type, PMR) or pebble-bed (PBR) core configuration. The pebble-bed design requires new attention with respect to neutronics, materials, thermal hydraulic, safety and licensing relative to the set of phenomena and engineering analyses associated with the current fleet of legacy LWRs. In fact, the relative knowledge and experiential base on gas reactors is small in comparison to the LWR. There is a dated body of knowledge from some 25+ years ago on GCRs; recently there is a renewed interest. Thus in the present design and development phase of the NGNP/VHTR, there are relevant thermohydraulic safety issues surrounding the MHTGR with issues impacting foremost the design review process. A common phenomena with respect to PMR and PBR core design, is that concerning 'graphite dust' and its interaction and transport with potential fission products (FP) that may be present within the graphite and subsequently in the primary system. The nature of the graphite and FPs, when circulated or transported in the primary, and possibly beyond, is of concern as potentially an relevant 'source term' (radionuclide inventory) of the MHTGR. Based on NUREG/CR-6944, Volumes 1-5, the author briefly describes the state-of-the art knowledge base on graphite dust and FP transport with respect to the anticipated design of the MHTGR. In addition, from the Phenomena Identification and Ranking Tables (PIRTs) developed in these reports we concurrently identify and describe 'gaps and needs' of the knowledge base. That is, we also present the knowledge base gaps and needs with respect to the following: 1) R and D needs relative to PIRTs, 2) (experimental) database needs relative to PIRTs, and 3) simulation and modeling

  8. 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

  9. An approach to build a knowledge base for reactor diagnostic system using statistical method

    In the development of a rule-based expert system, one of the key issues is how to acquire knowledge and to build a knowledge base. When the knowledge base of DISKET was built, which is an expert system for nuclear reactor accident diagnosis developed in Japan Atomic Energy Research Institute, several problems have been experienced. To write rules is a time-consuming task, and it was difficult to keep the objectivity and consistency of rules as the number of rules increased. Certainty factors must be determined often according to engineering judgement, i.e. empirically or intuitively. A systematic approach was attempted to cope with these difficulties and to build efficiently an objective knowledge base. The approach described in this paper is based on the concept that a prototype knowledge base, colloquially speaking an initial guess, should first be generated in a systematic way, then it is modified or improved by human experts for practical use. Factor analysis was used as the systematic way. DISKET system, the procedure of building a knowledge base, and the verification of the approach are reported. (Kako, I.)

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

    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 and 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 and D goals should contribute to the acceptance of knowledge-based digital systems for transient diagnostics and management. (author)

  11. A Modular Approach for Reasoning about Large-Scale Description Logic Knowledge-Base

    Yuxin Mao

    2010-01-01

    Full Text Available In this study, we proposed a modular approach for description logic reasoning to meet the on-demand and scalability requirement semantic-based systems. One typical use of description logic knowledge-base is to support reasoning in semantic-based systems. However, including large description logic knowledge-bases in their complete form in applications would imply unnecessarily huge storage and computational requirement. Therefore, we go beyond the use of static description logic knowledge-base by reusing knowledge dynamically. In particular, we refer to the context-specific contents from large-scale description logic knowledge-bases as description logic modules. A tableau algorithm based on the description logic module representation is given to support modular description logic reasoning. In order to solve the semi-deterministic problem of modular reasoning, we propose an expansion reasoning algorithm for preserving consistency. We also analyzed the time complexity of the modular reasoning algorithm under different conditions. The proposed algorithm improved the performance of description logic reasoning by modulization, especially when the scale of the knowledge-base is very large.

  12. Developing genomic knowledge bases and databases to support clinical management: current perspectives

    Huser V

    2014-09-01

    Full Text Available Vojtech Huser,1 Murat Sincan,2,3 James J Cimino1,4 1Laboratory for Informatics Development, National Institutes of Health Clinical Center, Bethesda, MD, USA; 2Undiagnosed Diseases Program, 3Office of the Clinical Director, National Human Genome Research Institute, National Institutes of Health, MD, USA; 4National Library of Medicine, National Institutes of Health, MD, USA Abstract: Personalized medicine, the ability to tailor diagnostic and treatment decisions for individual patients, is seen as the evolution of modern medicine. We characterize here the informatics resources available today or envisioned in the near future that can support clinical interpretation of genomic test results. We assume a clinical sequencing scenario (germline whole-exome sequencing in which a clinical specialist, such as an endocrinologist, needs to tailor patient management decisions within his or her specialty (targeted findings but relies on a genetic counselor to interpret off-target incidental findings. We characterize the genomic input data and list various types of knowledge bases that provide genomic knowledge for generating clinical decision support. We highlight the need for patient-level databases with detailed lifelong phenotype content in addition to genotype data and provide a list of recommendations for personalized medicine knowledge bases and databases. We conclude that no single knowledge base can currently support all aspects of personalized recommendations and that consolidation of several current resources into larger, more dynamic and collaborative knowledge bases may offer a future path forward. Keywords: personalized medicine, knowledge bases, databases, clinical decision support, clinical informatics

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

    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 ampersand 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 ampersand D goals should contribute to the acceptance of knowledge-based digital systems for transient diagnostics and management

  14. 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.

  15. 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.

  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. 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

  20. 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.

  1. Decision support system based on knowledge base in Guangdong nuclear power plant

    The decision support system is one of the assistant decision tools to the decision-makers, and it is a complex systematic project to found the decision support system. This paper introduces the establishing process of the decision support system in Guangdong Nuclear Power Plant based on knowledge base. The main method includes three steps. First is organizing, mining and getting the knowledge. Second is constructing the knowledge base based on RDBMS. Third is setting up the decision support system. Practice shows that this method has certain practical value. (authors)

  2. 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. PMID:24743069

  3. AMADEUS 3.0: a new Knowledge Based System for the Assessment of Earthquake damaged Buildings

    Gavarini, Carlo; Dip. di Ingegneria Strutturale "La Sapienza"; Padula, Antonio; Istituto Nazionale di Geofisica e Vulcanologia, Sezione CNT, Roma, Italia

    1994-01-01

    The knowledge-base of the new AMADEUS is reconstructed through the use of the Fuzzy Set Theory, that permits to formalize the procedures in a non-deterministic way. The uncertainty and the imprecision of the gathered data are managed with techniques typical to Fuzzy Logic. Moreover, the System permits the user to modify the same knowledge-base or to insert new bases and to use then the most appropriate one in specific situations. The gathered data, as well as the results of the evaluations, a...

  4. A method for verifying and validating knowledge based systems for nuclear power plants

    Verification and validation (V and V) of computer software is an important process for power plant owners to assure safe and reliable operation when computer systems are an integral part of plant operations. New methods for V and V are needed for knowledge based systems software because this relatively new technology incorporates complex reasoning in software systems. This paper describes one approach to V and V of knowledge based systems which will be of interest to nuclear plant owners. The paper presents specific examples from the V and V of the REALM expert system

  5. Dealing with difficult deformations: Construction of a knowledge-based deformation atlas

    Thorup, Signe Strann; Darvann, T.A.; Hermann, N.V.;

    2010-01-01

    (atlases) for the pre- and post-surgical populations, respectively, were automatically constructed by non-rigid registration. An expert placed corresponding landmarks in the cleft area in the two atlases; this provided prior information used to build a knowledge-based deformation atlas. We model the change...... from before to after lip closure in infants with UCLP. The purpose of the present work was to show that use of prior information about typical deformations due to lip closure, through the construction of a knowledge-based atlas of deformations, could overcome the problem. Initially, mean volumes...... simple way of dealing with complex morphological changes using knowledge of typical deformations....

  6. KBGen - Text Generation for Knowledge Bases as a New Shared Task

    Banik, Eva; Gardent, Claire; Scott, Donia; Dinesh, Nikhil; Linag, Fennie

    2012-01-01

    In this paper we propose a new shared task where the aim is to produce coherent descriptions of concepts and relationships in a frame-based knowledge base (KB). We propose to use AURA, a freely available KB, for the shared task and illustrate an application context for NLG. We show that the same application context and the need for language generation tools can be generalized to other biology knowledge bases. We argue that the easy availability of input data and a larger research community --...

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

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

    2016-01-01

    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...... innovation partner is independent of the choice of selecting a foreign partner while the decision between foreign partners from different locations is not. The results, however, do not provide support for the theory of knowledge bases influencing the location of innovation partners....

  8. SysBank: A Knowledge Base for Systematic Reviews of Randomized Clinical Trials

    Carini, Simona; Sim, Ida

    2003-01-01

    The Systematic Review Bank (SysBank) is a structured knowledge base that captures information about the design, execution, and results of systematic reviews of randomized controlled trials (RCTs). The SysBank data model has been adapted from RCT Bank, a knowledge base of randomized trials, and refined using three published systematic reviews. SysBank links directly to the RCT Bank entries of studies included in the systematic review. SysBank builds upon RCT Bank to support computer-assisted e...

  9. 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...

  10. A community effort towards a knowledge-base and mathematical model of the human pathogen Salmonella Typhimurium LT2

    Shin Sook-Il

    2011-01-01

    Full Text Available Abstract Background Metabolic reconstructions (MRs are common denominators in systems biology and represent biochemical, genetic, and genomic (BiGG knowledge-bases for target organisms by capturing currently available information in a consistent, structured manner. Salmonella enterica subspecies I serovar Typhimurium is a human pathogen, causes various diseases and its increasing antibiotic resistance poses a public health problem. Results Here, we describe a community-driven effort, in which more than 20 experts in S. Typhimurium biology and systems biology collaborated to reconcile and expand the S. Typhimurium BiGG knowledge-base. The consensus MR was obtained starting from two independently developed MRs for S. Typhimurium. Key results of this reconstruction jamboree include i development and implementation of a community-based workflow for MR annotation and reconciliation; ii incorporation of thermodynamic information; and iii use of the consensus MR to identify potential multi-target drug therapy approaches. Conclusion Taken together, with the growing number of parallel MRs a structured, community-driven approach will be necessary to maximize quality while increasing adoption of MRs in experimental design and interpretation.

  11. 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.

  12. KBTAC [Knowledge-Based Technology Application Center] - The EPRI [Electric Power Research Institute]-sponsored knowledge-based technology application center

    The Electric Power Research Institute (EPRI) has announced the establishment of the Knowledge-Based Technology Application Center (KBTAC), whose goal is to assist member utilities with expert system technology and applications. The center, established November 7, 1989, is located on the campus of Syracuse University, Syracuse, New York, and will be operated jointly by Kaman Sciences Corporation and the university. The mission of the KBTAC is to assist EPRI member utilities to develop, test, and transfer expert systems into nuclear power plant operations, maintenance, and administration

  13. 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.

  14. Promoting women's health: redefining the knowledge base and strategies for change.

    Ruzek, S; Hill, J

    1986-01-01

    Promoting women's health involves undertaking a critical gender-based analysis of women's health status and health needs and the knowledge bases which underlie health promotion action. The authors argue that professional and lay definitions of health problems often differ and that these differences stem from a differential emphasis on existing knowledge bases. Here the authors explore the focus of epidemiological, clinical, and experiential knowledge and suggest ways in which each does or does not address many key health issues which women themselves identify as important. Attention is also directed towards women's own suppressed and devalued knowledge as embodied in traditional folk practices and alternative care forms. Recommendations are made to improve existing knowledge bases by transforming some of the value orientations, priorities, methods and the social organization of research. The authors suggest that positive health promotion strategies must be based on an improved knowledge base and must incorporate three key concepts which women emphasize as central--self determination, women-centred values, and a gender-based political analysis. Strategies and methods to achieve these ends are suggested for health educators and policy-makers who wish to develop more positive approaches to promoting women's health. PMID:10286863

  15. The Feasibility and Effectiveness of a Pilot Resident-Organized and -Led Knowledge Base Review

    Vautrot, Victor J.; Festin, Fe E.; Bauer, Mark S.

    2010-01-01

    Objective: The Accreditation Council for Graduate Medical Education (ACGME) requires a sufficient medical knowledge base as one of the six core competencies in residency training. The authors judged that an annual "short-course" review of medical knowledge would be a useful adjunct to standard seminar and rotation teaching, and that a…

  16. 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…

  17. Measuring Innovation Oriented Activities for Business Services: Traditional versus Knowledge Based Indicators

    Steiner, Michael

    2001-01-01

    Measuring Innovation Oriented Activities: Traditional versus Knowledge Based Indicators and their Differences across Sectors Michael STEINER, Christoph ADAMETZ, Mirjam NOVAKOVIC, Institute of Technology and Regional Policy, JOANNEUM RESEARCH, Elisabethstrasse 20/II, 8010 Graz, Austria and Department of Economics, Karl-Franzens-Universität Graz, Universitätsstraße 15/4, 8010 Graz E-Mail: , , Indicato...

  18. Construction of geographical names knowledge base with ontology and production rule

    Cheng, Gang; Du, Qingyun

    2009-10-01

    With the rapid development of the gazetteers, more and more geographical names databases has been established. Since the geographical names exit in form of records which provide little qualitative description other than quantitative information, geographical names are hardly shared and interoperable. In order to solve this problem, we urgently need to set up knowledge base for geographical names that shall provide qualitative knowledge to describe the essence of the elements. So, we use ontology and production rules to build geographical name knowledge base, where the geographical names ontology is regarded as the foundation for reuse and sharing of the geographical names information, and production rules are used to enhance the expressivity of the ontology. First of all, we analyzed the geographical names concepts and their semantics, the concepts of space and time and their relationships in geographical names to describe the knowledge structure for this field, used Web Ontology Language (OWL) to provide formal descriptions to give them explicit semantics, and proposed a unified semantic framework for description. Secondly, we established the common-sense rules and spatial relations inference rules coded with Semantic Web Rule Language (SWRL) which laid the foundation for geographical names knowledge discovery and automatic reasoning. Finally, we established a geographical name knowledge base combining both the geographical names ontology and rules established above. Through the analysis of examples we showed that based on the geographical names knowledge base the geographical names information can be well shared and reused.

  19. 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

  20. A Comparison of Books and Hypermedia for Knowledge-based Sports Coaching.

    Vickers, Joan N.; Gaines, Brian R.

    1988-01-01

    Summarizes and illustrates the knowledge-based approach to instructional material design. A series of sports coaching handbooks and hypermedia presentations of the same material are described and the different instantiations of the knowledge and training structures are compared. Figures show knowledge structures for badminton and the architecture…

  1. 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.

  2. 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

  3. 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…

  4. Knowledge-Based Multiple Access Protocol in Broadband Wireless ATM Networks

    Liu, Hong; Gliese, Ulrik Bo; Dittmann, Lars

    1999-01-01

    In this paper, we propose a knowledge-based multiple access protocol for the extension of wireline ATM to wireless networks. The objective is to enable effecient transmission of all kinds of ATM traffic in the wireless channel with guaranteed QoS.The proposed protocol utilixes knowledge of the main...... guaranteed QoS requirements to a variety of ATM applications....

  5. 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…

  6. Simultaneous Mapping of Interactions between Scientific and Technological Knowledge Bases: The Case of Space Communications.

    Hassan, E.

    2003-01-01

    Examines the knowledge structure of the field of space communications using bibliometric mapping techniques based on textual analysis. Presents a new approach with the aim of visualizing simultaneously the configuration of the scientific and technological knowledge bases at a worldwide level, and discusses results that show different…

  7. Constructing a Language Assessment Knowledge Base: A Focus on Language Assessment Courses

    Inbar-Lourie, Ofra

    2008-01-01

    The competencies required for conducting assessment in the educational context have recently been reformulated in view of social constructivist perspectives and the acknowledgement of the role of classroom assessment in promoting learning. These changes have impacted the knowledge base language assessors need to obtain, and hence the contents of…

  8. Towards a knowledge base for using ICT to foster early literacy development: A review study

    Belo, Nelleke; McKenney, Susan; Voogt, Joke

    2014-01-01

    Belo, N., McKenney, S. & Voogt, J. (2013). Towards a knowledge base for using ICT to foster early literacy development: A review study. Paper presentation at the annual meeting of the European Association for Research on Learning and Instruction. August 27-31, Munich.and Instruction. August 27-31, M

  9. 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…

  10. 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...

  11. Limitations of Levels, Learning Outcomes and Qualifications as Drivers Towards a More Knowledge-Based Society

    Brown, Alan

    2008-01-01

    National (and European) qualifications frameworks, the specification of learning outcomes and grand targets like the Lisbon goals of increasing the supply of graduates in Europe in order to achieve a more knowledge-based society are all predicated upon the idea of moving people through to higher and well-defined levels of skills, knowledge and…

  12. 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…

  13. 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…

  14. 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. PMID:9929345

  15. 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.

  16. 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.

  17. 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.

  18. Consultancy on 'IAEA initiative to establish a fast reactor knowledge base'. Working material

    At the outset of the meeting, Member States interest in establishing Fast Reactor Knowledge Base was acknowledged by the participants. While the broader objective of the initiative was to develop a Knowledge Base into which the existing Knowledge Preservation Systems will fit, the specific objectives of the meeting were: Make recommendations on FRKP methodology and guidance, Review the proposed structure of the Agency's FRKP Initiative, Make recommendations on the role of the Agency and the Member States implementing the Agency's FRKP Initiative, Develop an approach for the implementation of the structure of the Agency's RFKP Initiative. The meeting concluded covering many aspects of the initiative namely systematic method of data capturing, structuring and functions of FRKP System etc. and placed a strong emphasis on the continues role of IAEA's support and coordination in the data retrieval and knowledge preservation efforts

  19. 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.

  20. 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...

  1. 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

  2. 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 for re...... 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.......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 for...

  3. THEXSYST - a knowledge based system for the control and analysis of technical simulation calculations

    This system (THEXSYST) will be used for control, analysis and presentation of thermal hydraulic simulation calculations of light water reactors. THEXSYST is a modular system consisting of an expert shell with user interface, a data base, and a simulation program and uses techniques available in RSYST. A knowledge base, which was created to control the simulational calculation of pressurized water reactors, includes both the steady state calculation and the transient calculation in the domain of the depressurization, as a result of a small break loss of coolant accident. The methods developed are tested using a simulational calculation with RELAP5/Mod2. It will be seen that the application of knowledge base techniques may be a helpful tool to support existing solutions especially in graphical analysis. (orig./HP)

  4. Statistical method application to knowledge base building for reactor accident diagnostic system

    In the development of a knowledge based expert system, one of key issues is how to build the knowledge base (KB) in an efficient way with keeping the objectivity of KB. In order to solve this issue, an approach has been proposed to build a prototype KB systematically by a statistical method, factor analysis. For the verification of this approach, factor analysis was applied to build a prototype KB for the JAERI expert system DISKET. To this end, alarm and process information was generated by a PWR simulator and the factor analysis was applied to this information to define taxonomy of accident hypotheses and to extract rules for each hypothesis. The prototype KB thus built was tested through inferring against several types of transients including double-failures. In each diagnosis, the transient type was well identified. Furthermore, newly introduced standards for rule extraction showed good effects on the enhancement of the performance of prototype KB. (author)

  5. MOVES: A knowledge-based system for maintenance planning for motor-operated valves

    Over the past several years, knowledge-based expert systems have emerged as an important part of the general research area known as artificial intelligence. This paper describes a cooperative effort between faculty members at Iowa State University and engineers at the Duane Arnold Energy Center [a 545-MW(electric) boiling water reactor operated by Iowa Electric Light and Power Company] to explore the development of an advisory system for valve maintenance planning. This knowledge-based program, known as Motor-Operated Valves Expert System (MOVES), has a data base that currently includes safety-related motor-operated valves (∼117 valves). Valve maintenance was selected as the subject for the expert system because of the importance of valves in nuclear plant and their impact of plant availability. MOVES is being developed using the microcomputer-(IBM compatible) based expert system tool INSIGHT2+. The authors have found that the project benefits both the university and the utility

  6. 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...

  7. Modeling Knowledge Bases for Automated Decision Making Systems – A Literature Review

    Franz Felix Füssl

    2015-09-01

    Full Text Available Developing automated decision making systems means dealing with knowledge in every possible manner. One of the most important points of developing artificial intelligent systems is developing a precise knowledge base with integrating self-learning mechanisms. Moreover using knowledge in expert systems or decision support systems it is necessary to document knowledge and make it visible for managing it. Main goal of this work is finding a suitable solution for modeling knowledge bases in automated decision making systems concerning both illustrating specific knowledge and learning mechanisms. There are a lot of different terms describing this kind of research, such as knowledge modeling, knowledge engineering or ontology engineering. For that reason this paper provides a comparison of the technical terms in this domain by illustrating similarities, specifics and how they are used in literature.

  8. Conceptual Pathway Querying of Natural Logic Knowledge Bases from Text Bases

    Andreasen, Troels; Bulskov, Henrik; Nilsson, Jørgen Fischer;

    2013-01-01

    We describe a framework affording computation of conceptual pathways between a pair of terms presented as a query to a text database. In this framework, information is extracted from text sentences and becomes represented in natural logic, which is a form of logic coming much closer to natural...... language than predicate logic. Natural logic accommodates a variety of scientific parlance, ontologies and domain models. It also supports a semantic net or graph view of the knowledge base. This admits computation of relationships between concepts simultaneously through pathfinding in the knowledge base...... graph and deductive inference with the stored assertions. We envisage use of the developed pathway functionality, e.g., within bio-, pharma-, and medical sciences for calculating bio-pathways and causal chains....

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

    Masango, Shingairai Grace; Marinova, Svetla Trifonova

    2014-01-01

    strong knowledge-based contacts. The ERISF acts as the source that provides the technical information and knowledge, which is then adopted by their network partners. This means that the ERISF’s product and technological capabilities drive the international knowledge creation process. The findings provide......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...

  10. A knowledge-based system for optimization of fuel reload configurations

    The authors discuss a knowledge-based production system developed for generating optimal fuel reload configurations. The system was based on a heuristic search method and implemented in Common Lisp programming language. The knowledge base embodied the reactor physics, reactor operations, and a general approach to fuel management strategy. The data base included a description of the physical system involved, i.e., the core geometry and fuel storage. The fifth cycle of the Three Mile Island Unit 1 pressurized water reactor was chosen as a test case. Application of the system to the test case revealed a self-learning process by which a relatively large number of near-optimal configurations were discovered. Several selected solutions were subjected to detailed analysis and demonstrated excellent performance. To summarize, applicability of the proposed heuristic search method in the domain of nuclear fuel management was proved unequivocally

  11. Real-Time Knowledge-Based Integration Of Freeway Surveillance Data

    Prosser, Neil A.; Ritchie, Stephen G.

    1992-01-01

    This paper describes an advanced processing capability that is based on the use of real-time knowledge-based expert system (KBES) technology to integrate diverse types of traffic surveillance data for freeway monitoring and control purposes, particularly as part of future "Smart Roads" projects. One of the major functions of the prototype system developed is the acquisition and processing of input data drawn from sensors and processes in the real world. The real-time nature of these processes...

  12. Knowledge marketing and development in the new knowledge-based economy

    Ani MATEI; Matei, Lucica

    2011-01-01

    The purpose of this paper is to analyze and describe the relation between knowledge and development in the new knowledge-based economy and to deduct the socio-economic basics of the public marketing strategies in this context. The particularity of this approach is due to the features of knowledge, seen as production factor, mixed public good or global public good, as well as their developments in the context of relationships between university and industry, the new role of publ...

  13. Impact of Transition to Knowledge-based Economy on Quality Management

    Ilinca HOTARAN; ZAMFIR Andreea

    2011-01-01

    This research analyses the main link between the new concepts of knowledge-based economy and quality management. In this ever-changing environment, the systemic vision of any organization will outline in the direction of developing new skills, having as the main objective to overpass the waste identified in the knowledge transfer process on different hierarchical levels. In this article, we present different characteristic of new quality management techniques, opportunities of the future to g...

  14. ACORD – Construction and Interrogation of Knowledge Bases Using Natural Language and Graphics – Technical Documentation

    Bès, Gabriel G.

    1989-01-01

    International audience The Technical Documentation of the ACORD project resumes five years of work by eight European teams, industrial and academic partners, which involved more than fifty people working around the construction and interrogation of knowledge bases using natural language and graphics. The Introduction guides the reader towards the architecture of the whole system and its components. The 12 chapters include four common points: scientific background and development, technical...

  15. The Challenges of Human Resources Management Practice in a Knowledge Based Organization

    Antohi Ionut

    2013-01-01

    Human resources represent an important asset for modern organizations especially in the context of knowledge based economy. The main competitive advantage is represented by knowledge possessed by the employee of an organization. Human resources management practice needs a different approach meant to attract develop and fully use such knowledge. This paper aims to analyse the growing impact of knowledge over human resources management practice. Mainly we discuss the manner in which the human r...

  16. Computerized design of removable partial dentures: a knowledge-based system for the future.

    Davenport, J C; Hammond, P; Fitzpatrick, F J

    1993-06-01

    Dentists frequently fail to provide dental technicians with the design information necessary for the construction of removable partial dentures. The computerization of dental practices and the development of appropriate knowledge-based systems could provide a powerful tool for improving this aspect of dental care. This article describes one such system currently under development which is an example of the kind of additional facility that will become available for those practices with the necessary hardware. PMID:8299844

  17. Knowledge-based system for documentation and mitigation of damages in historical structures

    Cacciotti, Riccardo; Valach, Jaroslav; Kuneš, Petr; Čerňanský, Martin

    Prague : Grada, 2013 - (Hájek, P.; Tywoniak, J.; Lupíšek, A.; Sojková, K.), s. 629-632 ISBN 978-80-247-5015-6. [CESB13 - Central Europe towards sustainable building 2013. Praha (CZ), 26.06.2013-28.06.2013] R&D Projects: GA MK(CZ) DF11P01OVV002 Keywords : knowledge-based system * damage documentation * historical building Subject RIV: AL - Art, Architecture, Cultural Heritage

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

    Putu Manik Prihatini; I Ketut Gede Darma Putra

    2012-01-01

    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 rul...

  19. Generating MEDLINE search strategies using a librarian knowledge-based system.

    P. Peng; Aguirre, A.; Johnson, S. B.; Cimino, J. J.

    1993-01-01

    We describe a librarian knowledge-based system that generates a search strategy from a query representation based on a user's information need. Together with the natural language parser AQUA, the system functions as a human/computer interface, which translates a user query from free text into a BRS Onsite search formulation, for searching the MEDLINE bibliographic database. In the system, conceptual graphs are used to represent the user's information need. The UMLS Metathesaurus and Semantic ...

  20. Using knowledge based micro simulation in analysing the application of legislation

    Svensson, J.S.; Wassink, J.G.J.

    1993-01-01

    The method of knowledge based micro simulation (KBMS) was developed to help determine (ex-ante) the socio-economic consequences of social security legislation. This paper discusses the possibilities of the KBMS method in the proces of ex-post evaluation of legislation, namely in monitoring the application of legislation by the (local) administrative organisations. The two possibilities that are discussed are: - the monitoring of actual compliance with legislation by the administrative organis...

  1. A Knowledge Based Expert-System For Synthetic Aperture Radar Target Recognition

    Rogers, Steven K.; Kabrisky, Matthew; Anderson, Steven; Mills, James P.

    1988-03-01

    This paper describes a knowledge-based expert system that uses return features, provided by image analysts, to identify an object as a specific instance or class of object, such as a tank or truck. Partial feature sets allow the expert system to classify occluded and unfamiliar or falsified object data returns to the most likely class with a specified reasoning path. The rule based system was developed using the Prolog version of Ml.

  2. CONSIDERING A COGNITIVE DISTANCE IN KNOWLEDGE-BASED THEORY OF A FIRM

    Chala, O.

    2013-01-01

    The impact of organizational knowledge and cognitive functions on the activities of the modern enterprise are considered in the article. According to author opinion, the problem of integration of cognitive possibilities of individuals at the use of knowledge for creation of new products and services is not solved yet. The reasons of existence, boundaries, organizational structure and functioning of the enterprise in accordance with the knowledge-based approach are proposed. Reasons of existen...

  3. A Kabbalah System Theory of Ontological and Knowledge Engineering for Knowledge Based Systems

    Gabriel Burstein; Constantin Virgil Negoita

    2013-01-01

    Using the Kabbalah system theory (KST) developed in [1], [2], we propose an ontological engineering for knowledge representation of domains in terms of concept systems in knowledge based systems in artificial intelligence. KST is also used for the knowledge engineering of the knowledge model building based on ontology. KST provides thus an integrative, unifying, domain independent framework for both the knowledge representation via ontologies and knowledge model building via knowledge enginee...

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

    Hayashi Taketo; Horikawa Hiroshi; Mori Sachio; Ohmori Norihito; Yamakawa Masumi; Okada Takashi; Fujishima Satoshi

    2010-01-01

    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, whi...

  5. A preliminary taxonomy and a standard knowledge base for mental-health system indicators in Spain

    Gibert Karina; Roca Miquel; Grané Mont-serrat; Martín Manuel; Salinas-Pérez José; Salvador-Carulla Luis; Bulbena Antonio

    2010-01-01

    Abstract Background There are many sources of information for mental health indicators but we lack a comprehensive classification and hierarchy to improve their use in mental health planning. This study aims at developing a preliminary taxonomy and its related knowledge base of mental health indicators usable in Spain. Methods A qualitative method with two experts panels was used to develop a framing document, a preliminary taxonomy with a conceptual map of health indicators, and a knowledge ...

  6. Personal selling as knowledge-based activity: communities of practice in sales

    Geiger, Susi; Turley, Darach

    2005-01-01

    This research posits personal selling as a knowledge-based activity. In their day-to-day interaction with customers, sales personnel gain priceless insights into their personalities, likes and dislikes, their process requirements or their position in formal and informal networks. If such ‘soft’ knowledge is externalised and made available in organisations, it can be a highly precious asset in developing genuine customer-oriented marketing and sales strategies. In most firms, however, such ...

  7. 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.

  8. A selective review of knowledge-based approaches to database design

    Shahrul Azman Noah; Michael Lloyd-Williams

    1995-01-01

    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 ses...

  9. A semantic knowledge base for personal learning and cloud learning environments

    Mikroyannidis, Alexander; Lefrere, Paul; Scott, Peter

    2010-01-01

    Personal Learning Environments (PLEs) and Cloud Learning Environments (CLEs) have recently encountered a rapid growth, as a response to the rising demand of learners for multi-sourced content and environments targeting their needs and preferences. This paper introduces a semantic knowledge base that utilises a multi-layered architecture consisting of learning ontologies customized for certain aspects of PLEs and CLEs. A number of stakeholder clusters, including learners, educators, and domain...

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

    Pavel Gardavsky; Ladislav Burita; Tomas Vejlupek

    2012-01-01

    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...

  11. Are societal changes new? Questions or trends and future perceptions on knowledge-based economy

    Margarida R. Paulos; António B. Moniz

    2009-01-01

    With the emergence of a global division of labour, the internationalisation of markets and cultures, the growing power of supranational organisations and the spread of new information technologies to every field of life, it starts to appear a different kind of society, different from the industrial society, and called by many as ‘the knowledge-based economy’, emphasizing the importance of information and knowledge in many areas of work and organisation of societies. Despite the common trends ...

  12. Knowledge based restructuring in transition economies: The role of business environment, competition and ICT

    Radulovic, Branko

    2004-01-01

    The knowledge based restructuring is taking into account the fact that after the inclusion of new entrants, ICT based changes are not solely related to the concept of the strategic restructuring of already existing companies. Using the BEEPS 2 data, we find that new firms and exporters are driving the innovation process in the transition economies and that both the availability of ICT and the existence of competitive pressure raise innovation. In addition, favourable business environment is a...

  13. The Influence of Perceptual and Knowledge-based Familiarity on the Neural Substrates of Face Perception

    J. Cloutier; Kelley, W. M.; Heatherton, T. F.

    2010-01-01

    This study examined the neural substrates of facial familiarity and person-knowledge. Based on current neural models of face perception, it was hypothesized that distinct extended networks of brain regions differentiate the perception of (a) novel faces, (b) novel faces associated with person-knowledge, (c) perceptually familiar faces and (d) familiar faces for which person-knowledge was learned. To test this hypothesis, we conducted an event-related fMRI experiment during which participants ...

  14. Soybean Knowledge Base (SoyKB): a web resource for soybean translational genomics

    2012-01-01

    Background Soybean Knowledge Base (SoyKB) is a comprehensive all-inclusive web resource for soybean translational genomics. SoyKB is designed to handle the management and integration of soybean genomics, transcriptomics, proteomics and metabolomics data along with annotation of gene function and biological pathway. It contains information on four entities, namely genes, microRNAs, metabolites and single nucleotide polymorphisms (SNPs). Methods SoyKB has many useful tools such as Affymetrix pr...

  15. Application of Knowledge-based Tools in Environmental Decision Support Systems

    Lam, David C.L.; Swayne, David; Mariam, Yohannes; Wong, Isaac; Fong, Philip

    1997-01-01

    Decision support system often requires the combined knowledge of multiple domains. A knowledge-based approach is proposed to include not only the process modelling knowledge but also the descriptive knowledge in the integration. Descriptive knowledge such as survey statistics and expert opinions forms the core of a study on the uncertainty of the combined knowledge. It was found that the use of expert systems, neural network and belief causal network assist greatly in the implementation of th...

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

    Seyed Ayatollah Razmjoo; Alireza Rasti

    2014-01-01

    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 supervis...

  17. RFID within High-Tech Clusters – Towards a Knowledge-Based Economy

    Bembenek, B

    2016-01-01

    The concept of knowledge-based economy (KBE) in this article constitutes the basis for the undertaken considerations regarding the implementation of Radio Frequency Identification (RFID) technology in the development process of high-tech clusters. It has been indicated in the article that this type of economy is characterised by quick development, particularly, of these disciplines which are related to information processing and science development, mainly the high-tech i...

  18. Knowledge base for efl/esl educators: what does it mean?

    Pineda B. Clelia

    2009-01-01

    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 e...

  19. Interdisciplinarity at the Journal and Specialty Level: The changing knowledge bases of the journal Cognitive Science

    Leydesdorff, Loet; Goldstone, Robert L.

    2012-01-01

    Using the referencing patterns in articles in Cognitive Science over three decades, we analyze the knowledge base of this literature in terms of its changing disciplinary composition. Three periods are distinguished: (1) construction of the interdisciplinary space in the 1980s; (2) development of an interdisciplinary orientation in the 1990s; (3) reintegration into "cognitive psychology" in the 2000s. The fluidity and fuzziness of the interdisciplinary delineations in the different visualizat...

  20. Self-Organizing Mechanisms for Task Allocation in a Knowledge-Based Economy

    Marcozzi, Andrea

    2009-01-01

    A prevalent claim is that we are in knowledge economy. When we talk about knowledge economy, we generally mean the concept of “Knowledge-based economy” indicating the use of knowledge and technologies to produce economic benefits. Hence knowledge is both tool and raw material (people’s skill) for producing some kind of product or service. In this kind of environment economic organization is undergoing several changes. For example authority relations are less important, legal and ownership-bas...

  1. Contextualizing Regional Innovation Systems in a Globalizing Learning Economy: On Knowledge Bases and Institutional Frameworks

    Asheim, Bjørn; Coenen, Lars

    2005-01-01

    In order to advance the understanding of which types of regional innovation system represent effective innovation support for what kinds of industry in different regions analyses must be contextualised by reference to the actual knowledge base of various industries as well as to the regional and national institutional framework, which strongly shape the innovation processes of firms. Of special importance is the linkage between the larger institutional frameworks of the national innovation an...

  2. NEW ROLES AND CHALLENGES FOR HUMAN RESOURCE MANAGEMENT IN KNOWLEDGE BASED ORGANIZATIONS

    EMANOIL MUSCALU; ALEXANDRA STÃNIÞ

    2011-01-01

    People have always been central to organizations, but their strategic importance is growing in today‘s knowledge-based organizations. An organization‘s success increasingly depends on the knowledge, skills, and abilities of employees, particularly as they help establish a set of core competencies that distinguish an organization from its competitors. When employees talents are valuable, rare, difficult to imitate and organized, an organization can achieve a sustained competitive advantage thr...

  3. Technological knowledge base, R&D organization structure and alliance formation: Evidence from the biopharmaceutical industry

    Zhang, J.; Baden-Fuller, C.; Mangematin, V.

    2007-01-01

    We explore how an incumbent firm's internal knowledge and organization structure influences its strategic alliance formation. We propose that the firm's knowledge breadth and the centrality of its R&D organization structure positively influence its absorptive capacity, and consequently, its propensity to form strategic alliances. We also argue that the centrality of the R&D organization structure may be a substitute for the breadth of the knowledge base. We validate our ideas using data on 26...

  4. ORGANISATIONAL BEHAVIOUR IN THE KNOWLEDGE-BASED SOCIETY - A ROMANIAN CONTEXT APPROACH

    Laura-Maria DINDIRE

    2012-01-01

    In the field of scientific knowledge, through this research topic, we have aimed at building an index to diagnose organisational behaviour in the knowledge-based society. Regarding the empirical research plan, the originality of the work is that of presenting a qualitative study that allowed for an outline of the Romanian context of organisational behaviour in this society. Among the qualitative methods with phenomenological, comprehensive orientation of the scientific research methodology, w...

  5. Innovative Asia: Advancing the Knowledge-Based Economy: The Next Policy Agenda

    Asian Development Bank

    2014-01-01

    This study outlines policy actions required in developing countries of Asia to advance as knowledge-based economies. The study uses the four pillars of the Knowledge Economy Index to benchmark the performance of developing economies in Asia against advanced economies of the world. It analyzes opportunities by which Asia’s middle and low income countries can tap new technology trends to move up global value chains and towards high-income levels.

  6. Knowledge Economy Factors and the Development of Knowledge-based Economy

    Dragomir Sundać; Irena Fatur Krmpotić

    2011-01-01

    The aim of this paper is to identify the various knowledge economy factors that have an impact on the achieved economic growth of national economies. This paper argues that there is no single scenario for building a knowledge-based economy. It utilizes variables of the knowledge economy, collected according to the Knowledge Assessment Methodology (KAM - benchmarking tool of the World Bank), on a sample of 118 countries. The countries are divided in three income groups according to GDP per cap...

  7. Intergenerational knowledge transfer in the academic environment of knowledge-based economy

    Viorel Lefter; Constantin Brătianu; Adriana Agapie; Simona Agoston; Ivona Orzea

    2011-01-01

    In the immediate future, intergenerational knowledge transfer is one of the knowledge-based economy’s main challenges since an inner motivational force powers knowledge transfer. Knowledge transfer from individuals to groups and organization must follow knowledge creation in order to transform individual into organizational knowledge, along the epistemological dimension of the Nonaka’s knowledge dynamics model. Moreover, the knowledge intensive organizations increase their fluxes of knowledge...

  8. Co-innovation by KIBS in Environmental Services : a knowledge-based perspective.

    Castaldi, C Carolina; Faber, J; Kishna, M

    2013-01-01

    This paper investigates the ability of knowledge intensive business firms (KIBS) to engage in co-innovation with client firms. Co-innovation is related to the competitive advantage of KIBS as knowledge creators and sources of innovation. We apply a knowledge-based perspective where knowledge-related resources and learning capabilities explain why certain KIBS firms are able to co-innovate. We couple our theoretical expectations with qualitative evidence on three best practices in the Dutch ma...

  9. THE EFFECTS OF LEADERSHIP STYLES ON KNOWLEDGE-BASED CUSTOMER RELATIONSHIP MANAGEMENT IMPLEMENTATION

    Li Yueh; Ying Lee; F. Barry Barnes

    2010-01-01

    This study examined how transformational and transactional leadership styles affect knowledge-based customer relationship management implementation in the Taiwanese hotel industry. A model of the relationship was created based on earlier research and used Bass and Avolio’s Multi-Factor Leadership Questionnaire along with questions to assess a multi-dimensional construct for CRM. The model was tested and modified using structural equation modeling. The results generally support a positive re...

  10. Technological strategic alliances and performance : the mediating effect of knowledge-based competencies

    Camisón Zornoza, César; Boronat Navarro, Montserrat; Villar López, Ana

    2010-01-01

    This study provides an empirical evidence of the relationship that exists between participation in technological strategic alliances and business performance by considering the knowledge-based distinctive competencies that the alliance is capable of generating as a mediating variable. The generation of knowledge in technological strategic alliances explains the contradictory results in the literature about the direct effect of strategic alliances on economic performance. The study uses a samp...

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

    Evonne McArthur; Surya Bali; Azim A Khan

    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...

  12. Socio-cultural and Knowledge-Based Barriers to Tuberculosis Diagnosis for Women in Bhopal, India

    McArthur, Evonne; Bali, Surya; Azim A Khan

    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...

  13. Evaluating the usability of natural language query languages and interfaces to semantic web knowledge bases

    Kaufmann, E.; Bernstein, A.

    2010-01-01

    The need to make the contents of the Semantic Web accessible to end-users becomes increasingly pressing as the amount of information stored in ontology-based knowledge bases steadily increases. Natural language interfaces (NLIs) provide a familiar and convenient means of query access to Semantic Web data for casual end-users. While several studies have shown that NLIs can achieve high retrieval performance as well as domain independence, this paper focuses on usability and investi...

  14. Developing the knowledge-based economy in Europe: The perspective of eigth countries

    Kukliński, Antoni; Burzyński, Wojciech

    2004-01-01

    1. To review of the Knowledge-Based Economy (KBE) experience in Europe as well as to propose a European research programme evaluating and promoting prospects in the field of KBE - this was the general aim of the study. In the context of the Lisbon Strategy, methodology, conclusions and recommendations presented by the OECD, the European Commission, the World Bank and the United Nations Economic Commission for Europe have been exploited. In particular, the Knowledge Assessment Methodology (KAM...

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

    Dr.Arti Arya; Vishwanath Yaligar; Ramya D. Prabhu; Ramya Reddy; Rohith Acharaya

    2010-01-01

    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. Differe...

  16. Combining knowledge bases in transnational innovation - microfoundations and the geography of organization

    Strambach, Simone

    2015-01-01

    The aim of the paper is to contribute both conceptually and empirically to a deeper understanding of the territorial shaping of knowledge combination and its development dynamics underpinning innovation. The importance of combining and integrating knowledge bases from different sources, geographical scales and heterogeneous actors is increasingly recognized in innovation studies. Yet, the question of what limits or enables knowledge combinations in innovation processes and what generates rela...

  17. A Prototype of Knowledge-Based System for Fault Diagnosis in Automatic Wire Bonding Machine

    TAN, Chee-Fai

    2008-01-01

    In the modern world, computing is essential in all aspects of manufacturing activity. Computers have brought to life terms like artificial intelligence, and have played a critical role in reinvention of manufacturing industry. In continuing quest to decrease the interval time between conceptualization of a product, information technology has been fused with manufacturing practice. This paper describes the use of an expert system shell to develop a knowledge-based system (KBS) for an ...

  18. 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.

  19. A knowledge-based design for assemble system for vehicle seat

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

    2015-05-01

    Companies worldwide are striving to reduce the costs of their products to impact their bottom line profitability. When it comes to improving profits, there are in two choices: sell more or cut the cost of what is currently being sold. Given the depressed economy of the last several years, the "sell more" option, in many cases, has been taken off the table. As a result, cost cutting is often the most effective path. One of the industrial challenges is to search for the shorten product development and lower manufacturing cost especially in the early stage of designing the product. Knowledge-based system is used to assist the industry when the expert is not available and to keep the expertise within the company. The application of knowledge-based system will enable the standardization and accuracy of the assembly process. For this purpose, a knowledge-based design for assemble system is developed to assist the industry to plan the assembly process of the vehicle seat.

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

    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

  1. Knowledge base and sensor bus messaging service architecture for critical tsunami warning and decision-support

    Sabeur, Z. A.; Wächter, J.; Middleton, S. E.; Zlatev, Z.; Häner, R.; Hammitzsch, M.; Loewe, P.

    2012-04-01

    The intelligent management of large volumes of environmental monitoring data for early tsunami warning requires the deployment of robust and scalable service oriented infrastructure that is supported by an agile knowledge-base for critical decision-support In the TRIDEC project (TRIDEC 2010-2013), a sensor observation service bus of the TRIDEC system is being developed for the advancement of complex tsunami event processing and management. Further, a dedicated TRIDEC system knowledge-base is being implemented to enable on-demand access to semantically rich OGC SWE compliant hydrodynamic observations and operationally oriented meta-information to multiple subscribers. TRIDEC decision support requires a scalable and agile real-time processing architecture which enables fast response to evolving subscribers requirements as the tsunami crisis develops. This is also achieved with the support of intelligent processing services which specialise in multi-level fusion methods with relevance feedback and deep learning. The TRIDEC knowledge base development work coupled with that of the generic sensor bus platform shall be presented to demonstrate advanced decision-support with situation awareness in context of tsunami early warning and crisis management.

  2. 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.

  3. A preliminary taxonomy and a standard knowledge base for mental-health system indicators in Spain

    Gibert Karina

    2010-12-01

    Full Text Available Abstract Background There are many sources of information for mental health indicators but we lack a comprehensive classification and hierarchy to improve their use in mental health planning. This study aims at developing a preliminary taxonomy and its related knowledge base of mental health indicators usable in Spain. Methods A qualitative method with two experts panels was used to develop a framing document, a preliminary taxonomy with a conceptual map of health indicators, and a knowledge base consisting of key documents, glossary and database of indicators with an evaluation of their relevance for Spain. Results A total of 661 indicators were identified and organised hierarchically in 4 domains (Context, Resources, Use and Results, 12 subdomains and 56 types. Among these the expert panels identified 200 indicators of relevance for the Spanish system. Conclusions The classification and hierarchical ordering of the mental health indicators, the evaluation according to their level of relevance and their incorporation into a knowledge base are crucial for the development of a basic list of indicators for use in mental health planning.

  4. A knowledge based on-line diagnostic system for the fast breeder reactor KNKII

    In the nuclear research center at Karlsruhe, a diagnostic expert system is developed to supervise a fast breeder process (KNKII). The problem is to detect critical phases in the beginning state before fault propagation. The expert system itself is integrated in a computer network (realized by a local area network), where different computers are involved as special detection systems (for example acoustic noise, temperature noise, covergas monitoring and so on), which produce partial diagnoses, based on intelligent signal processing techniques like pattern recognition. Additional to the detection systems a process computer is integrated as well as a test computer, which simulates hypothetical and real fault data. On the logical top level the expert system manages the partial diagnoses of the detection systems with the operating data of the process computer and to produce a final diagnosis including the explanation part for operator support. The knowledge base is developed by typical Artificial Intelligence tools. Both fact based and rule based knowledge representations are stored in form of flavors and predications. The inference engine operates on a rule based approach. Specific detail knowledge, based on experience about any years, is available to influence the decision process by increasing or decreasing of the generated hypotheses. In a meta knowledge base, a rule master triggers the special domain experts and contributes the tasks to the specific rule complexes. Such a system management guarantees a problem solving strategy, which operates event triggered and situation specific in a local inference domain. (author). 3 refs, 6 figs, 2 tabs

  5. An Integrated Knowledge Base System Architecture for Histopathological Diagnosis of Breast Diseases

    Aderonke A. Kayode

    2012-12-01

    Full Text Available The histopathological diagnosis of breast diseases requires highly trained and experienced experts, and often strains pathologists’ cognitive capabilities. Accurate and timely diagnosis of breast diseases is essential for the appropriate management of the patients. The paper presents a knowledge base system that uses a combination of rule-based and case-based techniques to achieve the diagnosis. Rule-based systems handle problems with well-defined knowledge bases this limits the flexibility of such system. Case-based reasoning has been adopted to overcome this inherent weakness of rule-based systems by incorporating previous cases in the generation of new cases to improve the performance of the system. The result of this research shows that the system is capable of assisting pathologists in making accurate, consistent and timely diagnoses. The system also aid in eliminating errors of omission that have been viewed as a prominent cause of medical errors. In conclusion this paper investigated the histological features used in the diagnosis of breast diseases and proposed an integrated knowledge base system based on the features.

  6. 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.

  7. 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.

  8. Knowledge base for power plant operation and its application to operation guide

    The present study is aimed at constructing a knowledge base for supervisory control operation in power plants and developing an operation guidance by using it. Examination is made to provide dignosis procedures on the basis of an existing alarm system. An operation guidance procedure for diagnosis is proposed which is to be followed when several alarms are sounded simultaneously in a power plant, and application of the procedure to an existing plant is examined. The operation manual for the plant includes 75 description items for six alarms. It is shown that the number of items related to these alarms can be reduced by 70 % by rearranging them according to the procedure. Another investigation is conducted to provide an operation manual for diagnosis to be used when one alarm is sounded in a plant. The quality of the manual developed is on nearly the same level with that for the existing plant examined. When a knowledge base is to be constructed from an existing operation manual, the processing operation generally requires a certain level of linguistic comprehension ability, such as for judgment of synonyms. It is demonstrated that the procedure proposed here is able to develop a high-quality knowledge base with standardized terminology. The procedure can also serve to construct operation manuals for plants in other industrial fields. (Nogami, K.)

  9. HYPLOSP: a knowledge-based approach to protein local structure prediction.

    Chen, Ching-Tai; Lin, Hsin-Nan; Sung, Ting-Yi; Hsu, Wen-Lian

    2006-12-01

    Local structure prediction can facilitate ab initio structure prediction, protein threading, and remote homology detection. However, the accuracy of existing methods is limited. In this paper, we propose a knowledge-based prediction method that assigns a measure called the local match rate to each position of an amino acid sequence to estimate the confidence of our method. Empirically, the accuracy of the method correlates positively with the local match rate; therefore, we employ it to predict the local structures of positions with a high local match rate. For positions with a low local match rate, we propose a neural network prediction method. To better utilize the knowledge-based and neural network methods, we design a hybrid prediction method, HYPLOSP (HYbrid method to Protein LOcal Structure Prediction) that combines both methods. To evaluate the performance of the proposed methods, we first perform cross-validation experiments by applying our knowledge-based method, a neural network method, and HYPLOSP to a large dataset of 3,925 protein chains. We test our methods extensively on three different structural alphabets and evaluate their performance by two widely used criteria, Maximum Deviation of backbone torsion Angle (MDA) and Q(N), which is similar to Q(3) in secondary structure prediction. We then compare HYPLOSP with three previous studies using a dataset of 56 new protein chains. HYPLOSP shows promising results in terms of MDA and Q(N) accuracy and demonstrates its alphabet-independent capability. PMID:17245815

  10. 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.

  11. Knowledge-based prediction of plan quality metrics in intracranial stereotactic radiosurgery

    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); Tan, Jun [Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, Texas 75490 (United States); Olsen, Lindsey A. [Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri 63110 (United States)

    2015-02-15

    Purpose: The objective of this work was to develop a comprehensive knowledge-based methodology for predicting achievable dose–volume histograms (DVHs) and highly precise DVH-based quality metrics (QMs) in stereotactic radiosurgery/radiotherapy (SRS/SRT) plans. Accurate QM estimation can identify suboptimal treatment plans and provide target optimization objectives to standardize and improve treatment planning. Methods: Correlating observed dose as it relates to the geometric relationship of organs-at-risk (OARs) to planning target volumes (PTVs) yields mathematical models to predict achievable DVHs. In SRS, DVH-based QMs such as brain V{sub 10Gy} (volume receiving 10 Gy or more), gradient measure (GM), and conformity index (CI) are used to evaluate plan quality. This study encompasses 223 linear accelerator-based SRS/SRT treatment plans (SRS plans) using volumetric-modulated arc therapy (VMAT), representing 95% of the institution’s VMAT radiosurgery load from the past four and a half years. Unfiltered models that use all available plans for the model training were built for each category with a stratification scheme based on target and OAR characteristics determined emergently through initial modeling process. Model predictive accuracy is measured by the mean and standard deviation of the difference between clinical and predicted QMs, δQM = QM{sub clin} − QM{sub pred}, and a coefficient of determination, R{sup 2}. For categories with a large number of plans, refined models are constructed by automatic elimination of suspected suboptimal plans from the training set. Using the refined model as a presumed achievable standard, potentially suboptimal plans are identified. Predictions of QM improvement are validated via standardized replanning of 20 suspected suboptimal plans based on dosimetric predictions. The significance of the QM improvement is evaluated using the Wilcoxon signed rank test. Results: The most accurate predictions are obtained when plans are

  12. 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

  13. 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.)

  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. The Analysis of Polish Economy’s Transformation to Knowledge Based Economy on the Basis of Knowledge Assessment Methodology

    Sokołowska-Woźniak, Justyna

    2015-01-01

    The main aim of this paper is to analyze the transformation of Poland to knowledge based economy on the basis of World Bank’s Knowledge Assessment Methodology. The analysis of change will be used to compare the performance (strengths and weaknesses) of Polish economy in 1994, 2004 and 2014 with regard to the main aspects of knowledge based economy.

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

    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. A methodology for developing high-integrity knowledge base using document analysis and ECPN matrix analysis with backward simulation

    When transitions occur in large systems such as nuclear power plants (NPPs) or industrial process plants, it is often difficult to diagnose them. Various computer-based operator-aiding systems have been developed in order to help operators diagnose the transitions of the plants. In procedures for developing knowledge base system like operator-aiding systems, the knowledge acquisition and the knowledge base verification are core activities. This dissertation describes a knowledge acquisition method and a knowledge base verification method for developing high-integrity knowledge base system of NPP expert systems. The knowledge acquisition is one of the most difficult and time-consuming activities in developing knowledge base systems. There are two kinds of knowledge acquisition methods in view of knowledge sources. One is an acquisition method from human expert. This method, however, is not adequate to acquire the knowledge of NPP expert systems because the number of experts is not sufficient. In this work, we propose a novel knowledge acquisition method through documents analysis. The knowledge base can be built correctly, rapidly, and partially automatically through this method. This method is especially useful when it is difficult to find domain experts. Reliability of knowledge base systems depends on the quality of their knowledge base. Petri Net has been used to verify knowledge bases due to their formal outputs. The methods using Petri Net however are difficult to apply to large and complex knowledge bases because the Net becomes very large and complex. Also, with Petri Net, it is difficult to find proper input patterns that make anomalies occur. In order to overcome this difficulty, in this work, the anomaly candidates detection methods are developed based on Extended CPN (ECPN) matrix analysis. This work also defines the backward simulation of CPN to find compact input patterns for anomaly detection, which starts simulation from the anomaly candidates

  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. 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.

  20. Knowledge base expert system control of spatial xenon oscillations in pressurized water reactors

    Nuclear reactor operators are required to pay special attention to spatial xenon oscillations during the load-follow operation of pressurized water reactors. They are expected to observe the axial offset of the core, and to estimate the correct time and amount of necessary control action based on heuristic rules given in axial xenon oscillations are knowledge intensive, and heuristic in nature. An expert system, ACES (Axial offset Control using Expert Systems) is developed to implement a heuristic constant axial offset control procedure to aid reactor operators in increasing the plant reliability by reducing the human error component of the failure probability. ACES is written in a production system language, OPS5, based on the forward chaining algorithm. It samples reactor data with a certain time interval in terms of measurable parameters, such as the power, period, and the axial offset of the core. It then processes the core status utilizing a set of equations which are used in a back of the envelope calculations by domain experts. Heuristic rules of ACES identify the control variable to be used among the full and part length control rods and boron concentration, while a knowledge base is used to determine the amount of control. ACES is designed as a set of generic rules to avoid reducing the system into a set of patterns. Instead ACES evaluates the system, determines the necessary corrective actions in terms of reactivity insertion, and provides this reactivity insertion using the control variables. The amount of control action is determined using a knowledge base which consists of the differential rod worth curves, and the boron reactivity worth of a given reactor. Having the reactor dependent parameters in its knowledge base, ACES is applicable to an arbitrary reactor for axial offset control purposes