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


    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


    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


    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.


    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


    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. 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


    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

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

    Vakser Ilya A


    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

  11. Knowledge Based Strategies for Knowledge Based Organizations

    Madalina Cristina Tocan


    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


    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


    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


    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


    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)


    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. Knowledge Based Economy Assessment

    Madalina Cristina Tocan


    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...

  19. Onlincolnshire Knowledge Base Collaboration

    Fuller, Ted; Bosworth, Gary; Deville, Jane


    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...

  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


    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


    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


    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


    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


    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


    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



    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.


    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


    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


    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


    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.


    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


    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


    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


    Minja Zorc


    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: 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. The New Economy- Knowledge Based Economy

    Marin, Carmen


    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 ...

  20. Neighborhood Mixture Model for Knowledge Base Completion

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


    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...

  1. A Logical Framework for Knowledge Base Maintenance



    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


    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.


    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


    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. The Coming of Knowledge-Based Business.

    Davis, Stan; Botkin, Jim


    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)

  7. Regional Convergence in Knowledge-based Economy

    Maryam Fattahi


    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.

  8. Automatic Knowledge Base Evolution by Learning Instances

    Kim, Sundong


    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.


    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


    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. Knowledge Based Company– a Theoretical Approach

    Cuºu Dorinela


    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 ...


    Alexandru-Emil POPA


    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...

  13. The New Economy- Knowledge Based Economy

    Carmen MARIN


    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.

  14. 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.

  15. Measuring Inconsistency in Probabilistic Knowledge Bases

    Thimm, Matthias


    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. A programmable approach to revising knowledge bases

    LUAN Shangmin; DAI Guozhong; LI Wei


    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.

  17. 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

  18. Information modelling and knowledge bases XXV

    Tokuda, T; Jaakkola, H


    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

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

    Oleg Vasilyevich Inshakov


    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


    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.


    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


    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.


    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. 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...

  5. Educational Policies in Knowledge Based Society

    Tomita CIULEI


    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.

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

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


    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.




    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.


    Lupsa Dana; Constantin Sanda


    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 ...


    Vladimir-Codrin IONESCU; Viorel CORNESCU


    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...

  10. The Ontology of Knowledge Based Optimization

    Nasution, Mahyuddin K. M.


    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.


    Krzysztof Kubiak


    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 ...

  12. Knowledge-based system for manufacturing sustainability

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


    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 ...

  13. Building a Knowledge Base from Learning Objects

    Fredlund, Per Kristen


    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...

  14. A multivalued knowledge-base model

    Achs, Agnes


    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.

  15. 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

  16. A knowledge based software engineering environment testbed

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


    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;


    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.


    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, 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. 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

  20. 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

  1. DKBLM—Deep Knowledge Based Learning Methodology



    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).

  2. Knowledge-based information systems in practice

    Jain, Lakhmi; Watada, Junzo; Howlett, Robert


    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...


    PLUMB Ion; ZAMFIR Andreea


    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


    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. Knowledge-based approach to system integration

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


    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.

  6. Knowledge based systems for condition monitoring

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


    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


    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. Toward E-Knowledge Based Complaint Management

    Abdelfatteh Triki


    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.

  10. Knowledge base technology: a developer view

    G. Ginkul


    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.

  11. Weather, knowledge base and life-style

    Bohle, Martin


    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)


    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)


    Alexandra Teodora RUGINOSU


    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. Investigating fundamentals of knowledge based economy using grounded theory

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


    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...

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

    Manoela Popescu


    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. Toward a Category Theory Design of Ontological Knowledge Bases

    Glazunov, Nikolaj


    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.

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

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


    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...

  19. Transition to knowledge-based economy in Saudi Arabia

    Nour, S.


    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 ...

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

    Izygon, Michel E.


    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.


    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


    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...


    Iulia MÃRIEª


    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.




    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.

  6. Applying Knowledge-Based Techniques to Software Development.

    Harandi, Mehdi T.


    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)

  7. The Sixth Annual Knowledge-Based Software Engineering Conference

    Selfridge, Peter G.


    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.

  8. Transition to knowledge-based economy in Saudi Arabia

    Nour, S.


    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

  9. Knowledge-Based Classification in Automated Soil Mapping



    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


    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


    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.




    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


    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. The Knowledge-Based Economy and the Triple Helix Model

    Leydesdorff, Loet


    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


    Wang Leigang; Deng Dongrnei; Liu Zhubai


    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.

  18. Merging Knowledge Bases in Possibilistic Logic by Lexicographic Aggregation

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


    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...

  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)


    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. On Knowledge Excavation Based on University Library Knowledge Base

    Ying Song


    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...

  1. 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"


    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.

  2. Discovering meta-paths in large knowledge bases

    Meng, Changping; 蒙昌平


    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...

  3. Knowledge based query expansion in complex multimedia event detection

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


    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...

  4. From Traditional Accounting To Knowledge Based Accounting Organizations



    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 ...


    Dragos CRISTEA


    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.




    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...


    Dragos CRISTEA; Matei, Daniela


    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 ...

  8. XML-Based SHINE Knowledge Base Interchange Language

    James, Mark; Mackey, Ryan; Tikidjian, Raffi


    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.

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

    Slota, Martin; Leite, João; Swift, Terrance


    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, ...


    Alina HAGIU; Marinela TANASCOVICI


    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...

  11. 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.

  12. Knowledge-based Expressive Technologies within Cloud Computing Environments

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


    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...

  13. Role of Knowledge Based Communities in Knowledge Process

    Sebastian Ion CEPTUREANU; Eduard Gabriel CEPTUREANU


    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...

  14. Intellectual property rights in a knowledge-based economy

    Cowan, R.; Harison, E.


    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...

  15. 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


    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.

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

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


    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....

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

    Malgorzata Madrak-Grochowska


    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 ...

  18. Knowledge base system visualization reasoning model based on ICON

    Chen, Deyun; Pei, Shujun; Quan, Zhiying


    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.

  19. Role of Knowledge Based Communities in Knowledge Process

    Sebastian Ion CEPTUREANU


    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.

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

    Leydesdorff, Loet


    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.


    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. 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

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

    Seok-Hyoung Lee


    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.


    Stegăroiu Carina-Elena


    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


    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


    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. Identification of Managerial Competencies in Knowledge-based Organizations

    Königová Martina


    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.

  9. A Text Knowledge Base from the AI Handbook.

    Simmons, Robert F.


    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…

  10. 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...

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

    Andreasen, Troels; Nilsson, Jørgen Fischer


    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...

  12. User interaction with legal knowledge-based systems

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


    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

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

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


    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…

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

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


    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

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

    Orsi, Cosma


    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...

  16. Knowledge-based expert systems for traffic safety.

    Janssen, S.T.M.C.


    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

  17. Knowledge based support for multiagent control and automation

    Saleem, Arshad; Lind, Morten


    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 ...

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

    McMurtry, John


    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.…

  19. Value Creation in the Knowledge-Based Economy

    Liu, Fang-Chun


    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…

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

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


    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.

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

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


    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…

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

    Pertti Hurme


    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.

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

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


    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.

  4. Malaysia Transitions toward a Knowledge-Based Economy

    Mustapha, Ramlee; Abdullah, Abu


    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…

  5. 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)

  6. Korea : Transition to a Knowledge-Based Economy

    World Bank


    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...

  7. Knowledge Based Engineering for Spatial Database Management and Use

    Peuquet, D. (Principal Investigator)


    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. 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

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

    Garicano, Luis; Rossi-Hansberg, Esteban


    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,…

  10. Strategic HRM in Building Micro-Foundations of Organizational Knowledge-Based Performance

    Minbaeva, Dana


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

    Zhang, Linda; Xu, Qianli; Helo, Petri


    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...

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

    Xu, Rong; Wang, QuanQiu


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

    Itoh Nobuya; Makino Yoshihide


    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...

  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. Adaptive Fuzzy Knowledge Based Controller for Autonomous Robot Motion Control

    Mbaitiga Zacharie


    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.

  16. Knowledge based economy: The role of expert diaspora

    Filipović Jovan


    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.

  17. 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.

  18. 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)

  19. 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

  20. 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

  1. 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)

  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


    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.


    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


    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.


    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. Network approach to fundamental tasks in knowledge-based organizations

    Smedlund, Anssi


    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...

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

    Bayegan, Elisabeth; Tu, Samson


    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, (...

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

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


    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...

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

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


    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...

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

    Yan WANG; Scott, Paul J; Jiang, Xiang


    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...

  13. 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.)

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

    Popa Liliana Viorica


    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...

  15. 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.

  16. MetaShare: Enabling Knowledge-Based Data Management

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


    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.

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

    Maciel Sanchez, Isaac


    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...

  18. (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


    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...

  19. A Knowledge-Based Consultant for Financial Marketing

    Kastner, John; Apte, Chidanand; Griesmer, James


    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...

  20. Learning Collaboration Moderator Services: Supporting Knowledge Based Collaboration

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


    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...

  1. A knowledge based system for irrigation planning in Virginia

    Kumar, Dipmani


    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...

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

    Diana-Maria CISMARU; LEOVARIDIS, Cristina


    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...

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

    Diana-Maria CISMARU; LEOVARIDIS, Cristina


    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...


    Mohamed Neffati


    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 ...




    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 ...

  6. From Conventional to Knowledge Based Geographical Information Systems

    Fischer, Manfred M.


    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...

  7. Knowledge-based vision and simple visual machines.

    Cliff, D.; Noble, J


    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...

  8. A Knowledge Based System for Diagnosing Nosocomial Infections

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


    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...

  9. 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


    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...

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

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


    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...

  11. On PID controller design using knowledge based fuzzy system

    Jana Nowakova; Miroslav Pokorny


    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 ...

  12. Intelligent Flowcharting Developmental Approach to Legal Knowledge Based System

    Nitin Balaji Bilgi; Kulkarni, R. V.


    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...

  13. Implementation of Medical Knowledge Bases in HyperCard

    Banks, Gordon; McLinden, Sean; Carlos, Gina


    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.

  14. 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.)

  15. 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)


    Alina HAGIU


    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.

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

    Diana-Maria CISMARU


    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.

  18. Knowledge-based processing for aircraft flight control

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


    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.

  19. A common sense geographic knowledge base for GIR


    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.

  20. Using the DOE Knowledge Base for Special Event Analysis

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


    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. 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

  2. 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

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

    Rocío Jiménez-Briones; Alba Luzondo Oyón


    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...

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

    Stanislaw Duer


    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...

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

    Hvam, Lars; Malis, Martin


    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....

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

    Andreasen, Troels; Nilsson, Jørgen Fischer


    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...

  7. 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

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

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


    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

  9. 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


    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

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

    Rösner, D; Stede, Manfred


    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)

  11. 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)

  12. 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

  13. Knowledge based systems advanced concepts, techniques and applications


    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

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

    李莉敏; 唐文献; 方明伦; 杨延麟


    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.

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

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


    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


    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. Knowledge-based simulation using object-oriented programming

    Sidoran, Karen M.


    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.

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

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


    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


    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


    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:

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

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


    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


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

    Guang Lan Zhang


    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.

  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


    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


    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

  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


    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...