WorldWideScience

Sample records for 7-mer knowledge-based potential

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

    DEFF Research Database (Denmark)

    Røgen, Peter

    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-mer we...... database, then 1) it is 97% certain that the native structure has the lowest energy 2) the energy has a nice minimum. That is, the correlation between energy and decoy-native RMSD is on the average 0.8 for decoys with RMSD

  2. The potential of knowledge based systems in nuclear installations

    International Nuclear Information System (INIS)

    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

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

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

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

    Science.gov (United States)

    Zheng, Wei-Mou

    2015-12-01

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

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

    DEFF Research Database (Denmark)

    Carlsen, Martin; Koehl, Patrice; Røgen, Peter

    2014-01-01

    Knowledge-based potentials are energy functions derived from the analysis of databases of protein structures and sequences. They can be divided into two classes. Potentials from the first class are based on a direct conversion of the distributions of some geometric properties observed in native...... 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...... in an ensemble. The relevance of these results for the design of knowledge-based potentials is discussed....

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

    Directory of Open Access Journals (Sweden)

    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.

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

    Science.gov (United States)

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

    2016-03-01

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

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

    Directory of Open Access Journals (Sweden)

    Vakser Ilya A

    2011-07-01

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

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

    Science.gov (United States)

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

    2016-03-01

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

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

    DEFF Research Database (Denmark)

    Feliu, Elisenda; Aloy, Patrick; Oliva, Baldo

    2011-01-01

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

  11. Knowledge Based Strategies for Knowledge Based Organizations

    Directory of Open Access Journals (Sweden)

    Madalina Cristina Tocan

    2012-12-01

    Full Text Available In the present, we can observe that a new economy is arising. It is an economy based on knowledge and ideas, in which the key factor for prosperity and for creation of the new jobs is the knowledge capitalization. Knowledge capitalization, intellectual capital, obtaining prosperity in the market economy imposes a new terminology, new managerial methods and techniques, new technologies and also new strategies. In other words, knowledge based economy, as a new type of economy; impose a new type of management- knowledge based management and a new type of enterprise-knowledge based enterprise.Taking in consideration these predictable evolutions, this paper will try to present: • The main ideas of the researches the field of the knowledge based economy • The characteristics and principles of the knowledge based organizations and knowledge based management • The challenges and opportunities for knowledge based organizations.The first part of the paper will present the principles of the new economy- knowledge base economy, the essential and interrelated elements necessary to build and to implement a strategy in a knowledge economy and the opportunities and challenges to the countries as they seek to build regionally and globally competitive knowledge-based economies.The second part of the paper will present the characteristics of the knowledge based organizations, the principles and characteristics of their management. For many organizations, knowledge management is a relatively new concept, because they are discovering the knowledge value in their operations. Many firms have undertaken formal and informal knowledge management initiatives designed to improve process performance, increase customer responsiveness and spur innovation. But while some organizations have reaped significant benefits from their investment in knowledge efforts, others have run into noteworthy challenges.

  12. Monitoring Knowledge Base (MKB)

    Data.gov (United States)

    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...

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

    Science.gov (United States)

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

    2011-12-01

    As the United Arab Emirates (UAE) moves towards a knowledge-based economy, maximising the participation of the national workforce, especially women, in the transformation process is crucial. Using survey methods and semi-structured interviews, this paper examines the factors that influence women's decisions regarding their degree programme and their attitudes towards science, technology and engineering (STE). The findings point to the importance of adapting mainstream policies to the local context and the need to better understand the effect of culture and society on the individual and the economy. There is a need to increase interest in STE by raising awareness of what the fields entail, potential careers and their suitability with existing cultural beliefs. Also suggested is the need to overcome negative stereotypes of engineering, implement initiatives for further family involvement at the higher education level, as well as the need to ensure a greater availability of STE university programmes across the UAE.

  14. Knowledge based maintenance

    Energy Technology Data Exchange (ETDEWEB)

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

    1997-12-31

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

  15. Onlincolnshire Knowledge Base Collaboration

    OpenAIRE

    Fuller, Ted; Bosworth, Gary; Deville, Jane

    2016-01-01

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

  16. Knowledge based Entrepreneurship

    DEFF Research Database (Denmark)

    Heebøll, John

    This book is dedicated enterprising people with a technical or a scientific background who consider commercializing ideas and inventions within their field of expertise via a new business activity or a new company. It aims at distilling experiences from many successful and not so successful start......-up ventures from the Technical University of Denmark, 1988 – 2008 into practical, portable knowledge that can be used by future knowledge-based entrepreneurs to set up new companies efficiently or to stay away from it; to do what’s needed and avoid the pitfalls....

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

    Science.gov (United States)

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

    2011-01-01

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

  18. Knowledge Based Economy Assessment

    Directory of Open Access Journals (Sweden)

    Madalina Cristina Tocan

    2012-12-01

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

  19. Knowledge-Based Asynchronous Programming

    NARCIS (Netherlands)

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

    2004-01-01

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

  20. The Knowledge Based Information Economy

    OpenAIRE

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

    1990-01-01

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

  1. Knowledge-based Telecom Industry

    OpenAIRE

    Vinje, Villeman; Nordkvelde, Marius

    2011-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Muhammad Afzal

    2015-08-01

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

  3. Knowledge-based nursing diagnosis

    Science.gov (United States)

    Roy, Claudette; Hay, D. Robert

    1991-03-01

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

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

    Institute of Scientific and Technical Information of China (English)

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

    2011-01-01

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

  5. ERB - Graphic knowledge base editor

    International Nuclear Information System (INIS)

    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

  6. Expert and Knowledge Based Systems.

    Science.gov (United States)

    Demaid, Adrian; Edwards, Lyndon

    1987-01-01

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

  7. Human Capital in the Knowledge Based Management

    OpenAIRE

    Ion PETRESCU

    2010-01-01

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

  8. The knowledge base of journalism

    DEFF Research Database (Denmark)

    Svith, Flemming

    not have a series of exhaustive categories. This also applies to which characteristics the five knowledge rationales have in various parts of journalism and in various times. This includes, for example, what it means for journalists that something is worth doing. Or what do journalists perceive as useful......In this paper I propose the knowledge base as a fruitful way to apprehend journalism. With the claim that the majority of practice is anchored in knowledge – understood as 9 categories of rationales, forms and levels – this knowledge base appears as a contextual look at journalists’ knowledge....... It is an analytical framework to delineate what is special in journalists’ knowledge. While the base is referred to in singular, it makes good sense to talk about journalistic knowledge in plural, because of the variation in the categories’ specific content and significance. This depends on the field position, time...

  9. Knowledge-based tracking algorithm

    Science.gov (United States)

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

    1990-10-01

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

  10. Web based foundry knowledge base

    Directory of Open Access Journals (Sweden)

    A. Stawowy

    2009-01-01

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

  11. Knowledge Base Editor (SharpKBE)

    Science.gov (United States)

    Tikidjian, Raffi; James, Mark; Mackey, Ryan

    2007-01-01

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

  12. Foundation: Transforming data bases into knowledge bases

    Science.gov (United States)

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

    1987-01-01

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

  13. Knowledge-Based Network Operations

    Science.gov (United States)

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

    1988-03-01

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

  14. DEVELOPMENT OF INTEGRATED CATTLE GENOMICS KNOWLEDGE BASE

    Directory of Open Access Journals (Sweden)

    Minja Zorc

    2015-09-01

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

  15. The New Economy- Knowledge Based Economy

    OpenAIRE

    Marin, Carmen

    2007-01-01

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

  16. Neighborhood Mixture Model for Knowledge Base Completion

    OpenAIRE

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

    2016-01-01

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

  17. Decision Support and Knowledge-Based Systems.

    Science.gov (United States)

    Konsynski, Benn R.; And Others

    1988-01-01

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

  18. A Logical Framework for Knowledge Base Maintenance

    Institute of Scientific and Technical Information of China (English)

    李未

    1995-01-01

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

  19. Knowledge-based systems and software engineering

    Energy Technology Data Exchange (ETDEWEB)

    Bader, J.L.

    1988-01-01

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

  20. A dynamic knowledge base based search engine

    Institute of Scientific and Technical Information of China (English)

    WANG Hui-jin; HU Hua; LI Qing

    2005-01-01

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

  1. Knowledge-based operator guidance system for Japanese PWRs

    International Nuclear Information System (INIS)

    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

  2. The Coming of Knowledge-Based Business.

    Science.gov (United States)

    Davis, Stan; Botkin, Jim

    1994-01-01

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

  3. Regional Convergence in Knowledge-based Economy

    Directory of Open Access Journals (Sweden)

    Maryam Fattahi

    2011-01-01

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

  4. Efficient Knowledge Base Management in DCSP

    CERN Document Server

    Jiang, Hong

    2010-01-01

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

  5. Knowledge bases in medicine: a review.

    OpenAIRE

    Perry, C. A.

    1990-01-01

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

  6. A Knowledge-based Stampability Evaluation System

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

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

  7. Knowledge Based Systems and Metacognition in Radar

    Science.gov (United States)

    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.

  8. Knowledge Based Company– a Theoretical Approach

    OpenAIRE

    Cuºu Dorinela

    2011-01-01

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

  9. The New Economy- Knowledge Based Economy

    Directory of Open Access Journals (Sweden)

    Carmen MARIN

    2007-01-01

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

  10. Agent-oriented commonsense knowledge base

    Institute of Scientific and Technical Information of China (English)

    陆汝钤; 石纯一; 张松懋; 毛希平; 徐晋晖; 杨萍; 范路

    2000-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Oleg Vasilyevich Inshakov

    2013-09-01

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

  12. Knowledge based diagnostics in nuclear power plants

    International Nuclear Information System (INIS)

    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

  13. Information modelling and knowledge bases XXV

    CERN Document Server

    Tokuda, T; Jaakkola, H

    2014-01-01

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

  14. A programmable approach to revising knowledge bases

    Institute of Scientific and Technical Information of China (English)

    LUAN Shangmin; DAI Guozhong; LI Wei

    2005-01-01

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

  15. The Knowledge Bases of the Expert Teacher.

    Science.gov (United States)

    Turner-Bisset, Rosie

    1999-01-01

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

  16. Ethics, Inclusiveness, and the UCEA Knowledge Base.

    Science.gov (United States)

    Strike, Kenneth A.

    1995-01-01

    Accepts most of Bull and McCarthy's rejection of the ethical boundary thesis in this same "EAQ" issue. Reinterprets their argument, using a three-part model of administrative knowledge. Any project for constructing an educational administration knowledge base is suspect, since little "pure" empirical and instrumental knowledge will be confirmed by…

  17. CREATIVITY, INNOVATION AND CHANGE IN KNOWLEDGE-BASED ORGANIZATION

    OpenAIRE

    Vladimir-Codrin IONESCU; CORNESCU Viorel; DRUICA Elena

    2012-01-01

    The innovative - creative potential of an organization is determined by the creative capacity of its members, by its managerial team competency and by certain mechanisms to sustain implementation of new ideas, as well as their transformation in competitive products and services. From the premise that knowledge-based modern organization is permanently connected to changes of business environment, the paper aims to underline the essential role of creativity and innovation in projecting and impl...

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

    OpenAIRE

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

    2010-01-01

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

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

    Science.gov (United States)

    Genuardi, Michael T.

    1993-01-01

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

  20. Innovation, Vector of the Knowledge-based Society

    Directory of Open Access Journals (Sweden)

    Vladimir-Codrin Ionescu

    2013-12-01

    Full Text Available The innovative potential of a nation is determined by its members’ creative capacity, as well as by the design and implementation of strategies and policies that are meant to support the devise, experimentation and application of new ideas, respectively the transformation thereof both into tangible goods (products and services and intangible ones (knowledge. The present paper approaches innovation as a vector of the new knowledge-based society, which consists of the main actions undertaken by the EU within the context of the “European Year of Creativity and Innovation”, as well as of the actions promoted through the Initiative known as “A Union of Innovation”, comprised by the Europe Strategy 2020. The final part of the paper illustrates the essential role of universities in developing knowledge-based and innovation-based society.

  1. INNOVATION, VECTOR OF THE KNOWLEDGE-BASED SOCIETY

    Directory of Open Access Journals (Sweden)

    VLADIMIR-CODRIN IONESCU

    2013-05-01

    Full Text Available The innovative potential of a nation is determined by its members’ creative capacity, as well as by the design and implementation of strategies and policies that are meant to support the devise, experimentation and application of new ideas, respectively the transformation thereof both into tangible goods (products and services and intangible ones (knowledge. The present paper approaches innovation as a vector of the new knowledge-based society, which consists of the main actions undertaken by the EU within the context of the “European Year of Creativity and Innovation”, as well as of the actions promoted through the Initiative known as “A Union of Innovation”, comprised by the Europe Strategy 2020. The final part of the paper illustrates the essential role of universities in developing knowledge-based and innovation-based society.

  2. Tools for the Knowledge-Based Organization

    DEFF Research Database (Denmark)

    Ravn, Ib

    2002-01-01

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

  3. Educational Policies in Knowledge Based Society

    Directory of Open Access Journals (Sweden)

    Tomita CIULEI

    2013-12-01

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

  4. One knowledge base or many knowledge pools?

    DEFF Research Database (Denmark)

    Lundvall, Bengt-Åke

    that there is one common knowledge base on which economic activities can be built. In this paper we argue that it is more appropriate to see the economy as connecting to different ‘pools of knowledge'. The argument is built upon a conceptual framework where we make distinctions between private/public, local......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....../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....

  5. THE KNOWLEDGE BASED ECONOMY AND KNOWLEDGE MANAGEMENT

    OpenAIRE

    Lupsa Dana; Constantin Sanda

    2007-01-01

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

  6. ORGANIZATIONAL CHANGE IN KNOWLEDGE-BASED FIRM

    OpenAIRE

    Vladimir-Codrin IONESCU; Viorel CORNESCU

    2011-01-01

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

  7. Knowledge-based system for manufacturing sustainability

    OpenAIRE

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

    2012-01-01

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

  8. ORGANIZATIONAL CHANGE IN KNOWLEDGE-BASED FIRM

    Directory of Open Access Journals (Sweden)

    VLADIMIR-CODRIN IONESCU

    2011-04-01

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

  9. APPLYING COLLABORATION SCRIPT IN KNOWLEDGE BASED SESSIONS

    Directory of Open Access Journals (Sweden)

    AIMAN TURANI

    2016-01-01

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

  10. A multivalued knowledge-base model

    CERN Document Server

    Achs, Agnes

    2010-01-01

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

  11. Building a Knowledge Base from Learning Objects

    OpenAIRE

    Fredlund, Per Kristen

    2005-01-01

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

  12. Knowledge-based techniques in software engineering

    Energy Technology Data Exchange (ETDEWEB)

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

    1988-05-04

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

  13. Modeling Guru: Knowledge Base for NASA Modelers

    Science.gov (United States)

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

    2009-05-01

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

  14. Knowledge-based computer security advisor

    International Nuclear Information System (INIS)

    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

  15. Knowledge-based information systems in practice

    CERN Document Server

    Jain, Lakhmi; Watada, Junzo; Howlett, Robert

    2015-01-01

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

  16. DKBLM—Deep Knowledge Based Learning Methodology

    Institute of Scientific and Technical Information of China (English)

    马志方

    1993-01-01

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

  17. The Development of the IMIA Knowledge Base

    Directory of Open Access Journals (Sweden)

    Graham Wright

    2011-03-01

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

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

    OpenAIRE

    Ion Plumb; Andreea Zamfir

    2009-01-01

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

  19. Knowledge base technology: a developer view

    Directory of Open Access Journals (Sweden)

    G. Ginkul

    1996-09-01

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

  20. Toward E-Knowledge Based Complaint Management

    Directory of Open Access Journals (Sweden)

    Abdelfatteh Triki

    2009-01-01

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

  1. Knowledge Based Design of Axial Flow Compressor

    Directory of Open Access Journals (Sweden)

    Dinesh kumar.R

    2015-05-01

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

  2. An Ebola virus-centered knowledge base.

    Science.gov (United States)

    Kamdar, Maulik R; Dumontier, Michel

    2015-01-01

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

  3. Knowledge base verification based on enhanced colored petri net

    International Nuclear Information System (INIS)

    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

  4. Knowledge base verification based on enhanced colored petri net

    Energy Technology Data Exchange (ETDEWEB)

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

    1997-12-31

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

  5. Weather, knowledge base and life-style

    Science.gov (United States)

    Bohle, Martin

    2015-04-01

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

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

    Directory of Open Access Journals (Sweden)

    Alexandra Teodora RUGINOSU

    2014-11-01

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

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

    OpenAIRE

    Manoela Popescu

    2012-01-01

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

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

    OpenAIRE

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

    1991-01-01

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

  9. Transition to knowledge-based economy in Saudi Arabia

    OpenAIRE

    Nour, S.

    2014-01-01

    This paper discusses the progress in transition to knowledge-based economy in Saudi Arabia. As for the methodology, this paper uses updated secondary data obtained from different sources. It uses both descriptive and comparative approaches and uses the OECD definition of knowledge-based economy and the World Bank Knowledge Index (KI) and Knowledge Economy Index (KEI) and other indicators often used in the international literature to examine progress in transition to a knowledge-based economy ...

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

    International Nuclear Information System (INIS)

    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)

  11. System Engineering for the NNSA Knowledge Base

    Science.gov (United States)

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

    2006-05-01

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

  12. CHANGES AND CHALLENGES OF THE CONTEMPORARY KNOWLEDGE BASED ECONOMY

    OpenAIRE

    TODERICIU Ramona; FRATICIU Lucia

    2012-01-01

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

  13. Knowledge-Based Entrepreneurship in a Boundless Research System

    Science.gov (United States)

    Dell'Anno, Davide

    2008-01-01

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

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

    Science.gov (United States)

    Powers, Patrick James

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

  15. Transition to knowledge-based economy in Saudi Arabia

    NARCIS (Netherlands)

    Nour, S.

    2014-01-01

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

  16. Knowledge-Based Classification in Automated Soil Mapping

    Institute of Scientific and Technical Information of China (English)

    ZHOU BIN; WANG RENCHAO

    2003-01-01

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

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

    International Nuclear Information System (INIS)

    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

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

    International Nuclear Information System (INIS)

    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

  19. Explicating Knowledge-based Competitive Advantage

    OpenAIRE

    Karim Moustaghfir

    2012-01-01

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

  20. Conceptual framework for knowledge-based learning environments

    Institute of Scientific and Technical Information of China (English)

    Mustafa Alshawi

    2004-01-01

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

  1. FROM TRADITIONAL ACCOUNTING TO KNOWLEDGE BASED ACCOUNTING ORGANIZATIONS

    Directory of Open Access Journals (Sweden)

    NICOLETA RADNEANTU

    2010-01-01

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

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

    DEFF Research Database (Denmark)

    Singh, Ravendra; Gernaey, Krist; Gani, Rafiqul

    2010-01-01

    monitoring and analysis tools for a wide range of operations has made their selection a difficult, time consuming and challenging task. Therefore, an efficient and systematic knowledge base coupled with an inference system is necessary to support the optimal selection of process monitoring and analysis tools......, satisfying the process and user constraints. A knowledge base consisting of the process knowledge as well as knowledge on measurement methods and tools has been developed. An ontology has been designed for knowledge representation and management. The developed knowledge base has a dual feature. On the one...... hand, it facilitates the selection of proper monitoring and analysis tools for a given application or process. On the other hand, it permits the identification of potential applications for a given monitoring technique or tool. An efficient inference system based on forward as well as reverse search...

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

    DEFF Research Database (Denmark)

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

    2004-01-01

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

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

    DEFF Research Database (Denmark)

    Galle, Per

    1998-01-01

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

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

    Institute of Scientific and Technical Information of China (English)

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

    2003-01-01

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

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

    Directory of Open Access Journals (Sweden)

    J. A. Koroleva

    2015-07-01

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

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

    Institute of Scientific and Technical Information of China (English)

    Wang Leigang; Deng Dongrnei; Liu Zhubai

    2000-01-01

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

  8. Merging Knowledge Bases in Possibilistic Logic by Lexicographic Aggregation

    CERN Document Server

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

    2012-01-01

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

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

    CERN Document Server

    Leydesdorff, Loet

    2012-01-01

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

  10. XML-Based SHINE Knowledge Base Interchange Language

    Science.gov (United States)

    James, Mark; Mackey, Ryan; Tikidjian, Raffi

    2008-01-01

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

  11. Discovering meta-paths in large knowledge bases

    OpenAIRE

    Meng, Changping; 蒙昌平

    2014-01-01

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

  12. Knowledge based query expansion in complex multimedia event detection

    OpenAIRE

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

    2015-01-01

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

  13. COMPETITIVE INTELLIGENCE IN THE KNOWLEDGE-BASED ORGANISATION

    OpenAIRE

    Alina HAGIU; Marinela TANASCOVICI

    2013-01-01

    Knowledge-based organizations (KBO) are usually considered to be those whose product or service is knowledge-intensive. The characteristics of a KBO, however, go beyond product to include process, purpose and perspective. Process refers to an organization’s knowledge based activities and processes. Purpose refers to its mission and strategy. Perspective refers to the worldview and culture that influence and constrain an organization’s decisions and actions. In order for organizations to remai...

  14. Knowledge-based Expressive Technologies within Cloud Computing Environments

    OpenAIRE

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

    2013-01-01

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

  15. The process for integrating the NNSA knowledge base.

    Energy Technology Data Exchange (ETDEWEB)

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

    2009-03-01

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

  16. Intellectual property rights in a knowledge-based economy

    OpenAIRE

    Cowan, R.; Harison, E.

    2001-01-01

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

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

    OpenAIRE

    DENISA PARPANDEL

    2012-01-01

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

  18. KNOWLEDGE SOCIETY, GENERAL FRAMEWORK FOR KNOWLEDGE BASED ECONOMY

    OpenAIRE

    Dragos CRISTEA; Matei, Daniela

    2011-01-01

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

  19. On Knowledge Excavation Based on University Library Knowledge Base

    OpenAIRE

    Ying Song

    2009-01-01

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

  20. KNOWLEDGE SOCIETY, GENERAL FRAMEWORK FOR KNOWLEDGE BASED ECONOMY

    Directory of Open Access Journals (Sweden)

    Dragos CRISTEA

    2011-03-01

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

  1. Role of Knowledge Based Communities in Knowledge Process

    OpenAIRE

    Sebastian Ion CEPTUREANU; Eduard Gabriel CEPTUREANU

    2015-01-01

    In the new economy, knowledge is an essential component of economic and social systems. The organizational focus has to be on building knowledge-based management, development of human resource and building intellectual capital capabilities. Knowledge-based management is defined, at company level, by economic processes that emphasize creation, selling, buying, learning, storing, developing, sharing and protection of knowledge as a decisive condition for profit and long-term sustainability of t...

  2. Localized Knowledge based System for Human Disease Diagnosis

    Directory of Open Access Journals (Sweden)

    Adane Nega Tarekegn

    2016-03-01

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

  3. Role of Knowledge Based Communities in Knowledge Process

    Directory of Open Access Journals (Sweden)

    Sebastian Ion CEPTUREANU

    2015-12-01

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

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

    International Nuclear Information System (INIS)

    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

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

    Science.gov (United States)

    Mendonça, E A; Cimino, J J

    2001-01-01

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

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

    Institute of Scientific and Technical Information of China (English)

    FENG Haocheng; LUO Mingqiang; LIU Hu; WU Zhe

    2011-01-01

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

  7. THE ELECTRONIC MARKET LIBERALIZATION IN A KNOWLEDGE BASED ECONOMY

    Directory of Open Access Journals (Sweden)

    Stegăroiu Carina-Elena

    2013-04-01

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

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

    International Nuclear Information System (INIS)

    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

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

    Directory of Open Access Journals (Sweden)

    Xuexia Liu

    2012-12-01

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

  10. Arranging ISO 13606 archetypes into a knowledge base.

    Science.gov (United States)

    Kopanitsa, Georgy

    2014-01-01

    To enable the efficient reuse of standard based medical data we propose to develop a higher level information model that will complement the archetype model of ISO 13606. This model will make use of the relationships that are specified in UML to connect medical archetypes into a knowledge base within a repository. UML connectors were analyzed for their ability to be applied in the implementation of a higher level model that will establish relationships between archetypes. An information model was developed using XML Schema notation. The model allows linking different archetypes of one repository into a knowledge base. Presently it supports several relationships and will be advanced in future. PMID:25160140

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

    Science.gov (United States)

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

    2016-01-01

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

  12. Knowledge-based expert systems for traffic safety.

    NARCIS (Netherlands)

    Janssen, S.T.M.C.

    1990-01-01

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

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

    Science.gov (United States)

    Garicano, Luis; Rossi-Hansberg, Esteban

    2015-01-01

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

  14. Malaysia Transitions toward a Knowledge-Based Economy

    Science.gov (United States)

    Mustapha, Ramlee; Abdullah, Abu

    2004-01-01

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

  15. Knowledge Based Engineering for Spatial Database Management and Use

    Science.gov (United States)

    Peuquet, D. (Principal Investigator)

    1984-01-01

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

  16. User interaction with legal knowledge-based systems

    NARCIS (Netherlands)

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

    2000-01-01

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

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

    NARCIS (Netherlands)

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

    2015-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Pertti Hurme

    2005-01-01

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

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

    Science.gov (United States)

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

    1986-01-01

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

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

    Science.gov (United States)

    McMurtry, John

    1996-01-01

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

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

    Science.gov (United States)

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

    1986-01-01

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

  2. In defense of types in knowledge-based CAAD

    DEFF Research Database (Denmark)

    Galle, Per

    1997-01-01

    There are two basic approaches to representation of design knowledge in knowledge-based CAAD systems, the type-based approach which has a long tradition, and the more recent typeless approach. Proponents of the latter have offered a number of arguments against the type-based approach which...

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

    Science.gov (United States)

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

    2010-01-01

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

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

    DEFF Research Database (Denmark)

    Orsi, Cosma

    2009-01-01

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

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

    DEFF Research Database (Denmark)

    Andreasen, Troels; Nilsson, Jørgen Fischer

    2014-01-01

    We argue in favour of adopting a form of natural logic for ontology-structured knowledge bases as an alternative to description logic and rule based languages. Natural logic is a form of logic resembling natural language assertions, unlike description logic. This is essential e.g. in life sciences...

  6. Knowledge based support for multiagent control and automation

    DEFF Research Database (Denmark)

    Saleem, Arshad; Lind, Morten

    2011-01-01

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

  7. Korea : Transition to a Knowledge-Based Economy

    OpenAIRE

    World Bank

    2000-01-01

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

  8. Identification of Managerial Competencies in Knowledge-based Organizations

    Directory of Open Access Journals (Sweden)

    Königová Martina

    2012-03-01

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

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

    OpenAIRE

    Xu, Rong; Wang, QuanQiu

    2015-01-01

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

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

    Science.gov (United States)

    James, Mark

    2007-01-01

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

  11. Knowledge-based diagnosis of PWR secondary water chemistry

    International Nuclear Information System (INIS)

    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)

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

    International Nuclear Information System (INIS)

    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

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

    International Nuclear Information System (INIS)

    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

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

    International Nuclear Information System (INIS)

    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)

  15. Knowledge based economy: The role of expert diaspora

    Directory of Open Access Journals (Sweden)

    Filipović Jovan

    2012-01-01

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

  16. Radiation protection optimization using a knowledge based methodology

    International Nuclear Information System (INIS)

    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

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

    CERN Document Server

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

    1994-01-01

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

  18. A knowledge-based system for prototypical reasoning

    Science.gov (United States)

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

    2015-04-01

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

  19. The Underdetermined Knowledge-Based Theory of the MNC

    DEFF Research Database (Denmark)

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

    2011-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Mbaitiga Zacharie

    2010-01-01

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

  1. A Knowledge-Based Consultant for Financial Marketing

    OpenAIRE

    Kastner, John; Apte, Chidanand; Griesmer, James

    1986-01-01

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

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

    OpenAIRE

    Yan WANG; Scott, Paul J; Jiang, Xiang

    2006-01-01

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

  3. A knowledge based system for irrigation planning in Virginia

    OpenAIRE

    Kumar, Dipmani

    1990-01-01

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

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

    OpenAIRE

    Diana-Maria CISMARU; LEOVARIDIS, Cristina

    2013-01-01

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

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

    OpenAIRE

    Diana-Maria CISMARU; LEOVARIDIS, Cristina

    2014-01-01

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

  6. ICT, INFORMATIONAL INNOVATION AND KNOWLEDGE-BASED ECONOMY

    OpenAIRE

    Mohamed Neffati

    2012-01-01

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

  7. QUALITY IN EDUCATION IN A KNOWLEDGE-BASED ECONOMY

    OpenAIRE

    GABRIELA ARIONESEI; DANIELA NEAMTU

    2012-01-01

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

  8. Knowledge-based vision and simple visual machines.

    OpenAIRE

    Cliff, D.; Noble, J

    1997-01-01

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

  9. A Cognitive Framework for Knowledge-based Process Design

    Directory of Open Access Journals (Sweden)

    Hans Van Leijen

    2003-08-01

    Full Text Available We propose a framework for redesigning knowledge-intensive business processes that is inspired by the knowledge-based theory of the firm, and based on ideas from cognitive science. It views a business process as a problem-solving task consisting of five phases: recognition, decomposition, planning, action and evaluation. The coordination of these tasks among multiple agents is viewed as distributed cognition. We give some general principles for identifying process improvements based on manipulating these phases.

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

    OpenAIRE

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

    2010-01-01

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

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

    OpenAIRE

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

    2015-01-01

    It can be difficult for biomedical researchers to understand complex molecular networks due to their unfamiliarity with the mathematical concepts employed. To represent molecular networks with clear meanings and familiar forms for biomedical researchers, we introduce a knowledge-based computational framework to decipher biomedical networks by making systematic comparisons to well-studied “basic networks”. A biomedical network is characterized as a spectrum-like vector called “network fingerpr...

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

    International Nuclear Information System (INIS)

    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.)

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

    OpenAIRE

    Popa Liliana Viorica

    2010-01-01

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

  14. MetaShare: Enabling Knowledge-Based Data Management

    Science.gov (United States)

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

    2013-12-01

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

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

    OpenAIRE

    Maciel Sanchez, Isaac

    2016-01-01

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

  16. Implementation of Medical Knowledge Bases in HyperCard

    OpenAIRE

    Banks, Gordon; McLinden, Sean; Carlos, Gina

    1988-01-01

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

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

    Science.gov (United States)

    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.

  18. A Natural Logic for Natural-Language Knowledge Bases

    DEFF Research Database (Denmark)

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

    2016-01-01

    to semantic querying. Our core natural logic proposal covers formal ontologies and generative extensions thereof. It further provides means of expressing general relationships between classes in an application. We discuss extensions of the core natural logic with various conservative as well as non......-conservative constructs in order to approach scientific use of natural language. Finally, we outline a prototype system addressing life science for the natural logic knowledge base setup being under continuous development....

  19. Intelligent Flowcharting Developmental Approach to Legal Knowledge Based System

    OpenAIRE

    Nitin Balaji Bilgi; Kulkarni, R. V.

    2011-01-01

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

  20. COMPETITIVE INTELLIGENCE IN THE KNOWLEDGE-BASED ORGANISATION

    Directory of Open Access Journals (Sweden)

    Alina HAGIU

    2013-06-01

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

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

    Directory of Open Access Journals (Sweden)

    Diana-Maria CISMARU

    2014-02-01

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

  2. A common sense geographic knowledge base for GIR

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

    Reddy, S.

    1991-01-01

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

  4. Using the DOE Knowledge Base for Special Event Analysis

    Energy Technology Data Exchange (ETDEWEB)

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

    1998-10-20

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

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

    International Nuclear Information System (INIS)

    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

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

    OpenAIRE

    Stanislaw Duer

    2010-01-01

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

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

    Science.gov (United States)

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

    2013-07-01

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

  8. Knowledge based systems advanced concepts, techniques and applications

    CERN Document Server

    1997-01-01

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

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

    Institute of Scientific and Technical Information of China (English)

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

    2003-01-01

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

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

    DEFF Research Database (Denmark)

    Hvam, Lars; Malis, Martin

    2003-01-01

    . A 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....

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

    DEFF Research Database (Denmark)

    Andreasen, Troels; Nilsson, Jørgen Fischer

    2014-01-01

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

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

    Institute of Scientific and Technical Information of China (English)

    李莉敏; 唐文献; 方明伦; 杨延麟

    2005-01-01

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

  13. KBERG: KnowledgeBase for Estrogen Responsive Genes

    DEFF Research Database (Denmark)

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

    2007-01-01

    Estrogen has a profound impact on human physiology affecting transcription of numerous genes. To decipher functional characteristics of estrogen responsive genes, we developed KnowledgeBase for Estrogen Responsive Genes (KBERG). Genes in KBERG were derived from Estrogen Responsive Gene Database...... is based on ab initio discovery of common cis-elements from the orthologous gene cluster from human, mouse and rat, thus reflecting a degree of promoter sequence preservation during evolution. The identified motifs are linked to transcription factor binding sites based on the TRANSFAC database. In addition...

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

    CERN Document Server

    Rösner, D; Stede, Manfred

    1994-01-01

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

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

    International Nuclear Information System (INIS)

    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)

  16. Knowledge-based inference engine for online video dissemination

    Science.gov (United States)

    Zhou, Wensheng; Kuo, C.-C. Jay

    2000-10-01

    To facilitate easy access to rich information of multimedia over the Internet, we develop a knowledge-based classification system that supports automatic Indexing and filtering based on semantic concepts for the dissemination of on-line real-time media. Automatic segmentation, annotation and summarization of media for fast information browsing and updating are achieved in the same time. In the proposed system, a real-time scene-change detection proxy performs an initial video structuring process by splitting a video clip into scenes. Motional and visual features are extracted in real time for every detected scene by using online feature extraction proxies. Higher semantics are then derived through a joint use of low-level features along with inference rules in the knowledge base. Inference rules are derived through a supervised learning process based on representative samples. On-line media filtering based on semantic concepts becomes possible by using the proposed video inference engine. Video streams are either blocked or sent to certain channels depending on whether or not the video stream is matched with the user's profile. The proposed system is extensively evaluated by applying the engine to video of basketball games.

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

    International Nuclear Information System (INIS)

    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

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

    Directory of Open Access Journals (Sweden)

    Stanislaw Duer

    2010-08-01

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

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

    Directory of Open Access Journals (Sweden)

    Guang Lan Zhang

    2014-01-01

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

  20. Spinning fantasy: themes, structure, and the knowledge base.

    Science.gov (United States)

    Lucariello, J

    1987-04-01

    The influence of the child's knowledge base, in terms of event schemas, on symbolic play behavior was investigated. The pretend play behavior of 10 mother-child (2-0 to 2-4) dyads was observed in 2 play contexts. Play was examined for thematic content and the following structural components: self-other relations, substitute/imaginary objects, action integration, and planfulness. The highest levels of symbolic play behavior emerged in pretense episodes whose thematic content was event based. Additionally, thematic content affected the respective roles of mother and child in the construction of pretense. In pretense activity based on themes with which the child was familiar (e.g., routine events), the child, as well as the mother, participated in advanced levels of symbolic play activity, coconstructing pretense. In pretense based on themes unfamiliar to the child, the mother was almost exclusively responsible for the pretense. Thus, the development of child symbolic play appears to be related to the knowledge base in that its emergence is domain-specific--limited to themes for which the child has knowledge--before being more widely manifested. PMID:2435465

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

    Science.gov (United States)

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

    2015-01-01

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

  2. Knowledge-based imaging-sensor fusion system

    Science.gov (United States)

    Westrom, George

    1989-01-01

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

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

    International Nuclear Information System (INIS)

    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)

  4. Logical Object as a Basis of Knowledge Based Systems

    Institute of Scientific and Technical Information of China (English)

    徐殿祥; 郑国梁

    1995-01-01

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

  5. Knowledge Based Expert Advisory System for Transport Demand Management

    Directory of Open Access Journals (Sweden)

    Resdiansyah Mansyur

    2011-01-01

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

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

    Science.gov (United States)

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

    2011-06-01

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

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

    Science.gov (United States)

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

    2003-04-01

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

  8. Neuro computing in knowledge-based decision support systems

    Energy Technology Data Exchange (ETDEWEB)

    Sirola, Miki; Lampi, Golan; Parviainen, Jukka

    2004-07-01

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

  9. Knowledge-based detection method for SAR targets

    Institute of Scientific and Technical Information of China (English)

    Fei Gao; Achang Ru; Jun Wang; Shiyi Mao

    2014-01-01

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

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

    Science.gov (United States)

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

    2014-01-01

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

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

    International Nuclear Information System (INIS)

    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)

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

    Directory of Open Access Journals (Sweden)

    Spraggins Thomas A

    2007-04-01

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

  13. Automatic generation of a metamodel from an existing knowledge base to assist the development of a new analogous knowledge base.

    Science.gov (United States)

    Bouaud, J; Séroussi, B

    2002-01-01

    Knowledge acquisition is a key step in the development of knowledge-based systems and methods have been proposed to help elicitating a domain-specific task model from a generic task model. We explored how an existing validated knowledge base (KB) represented by a decision tree could be automatically processed to infer a higher level domain-specific task model. On-codoc is a guideline-based decision support system applied to breast cancer therapy. Assuming task identity and ontological proximity between breast and lung cancer domains, the generalization of the breast can-cer KB should allow to build a metamodel to serve as a guide for the elaboration of a new specific KB on lung cancer. Two types of parametrized generalization methods based on tree structure simplification and ontological abstraction were used. We defined a similarity distance and a generalization coefficient to select the best metamodel identified as the closest to the original decision tree of the most generalized metamodels. PMID:12463788

  14. Knowledge-based adaptive polarimetric detection in heterogeneous clutter

    Institute of Scientific and Technical Information of China (English)

    Yinan Zhao,Fengcong Li,; Xiaolin Qiao

    2014-01-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2015-05-15

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

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

    Directory of Open Access Journals (Sweden)

    Rocío Jiménez-Briones

    2011-06-01

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

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

    International Nuclear Information System (INIS)

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

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

    Science.gov (United States)

    Rajaram, N. S.

    1981-01-01

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

  19. Model-based reasoning and large-knowledge bases

    International Nuclear Information System (INIS)

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

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

    Science.gov (United States)

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

    2015-09-01

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

  1. Distributed knowledge-based learning system for information retrieval

    Energy Technology Data Exchange (ETDEWEB)

    Mukhopadhyay, U.

    1985-01-01

    MINDS (Multiple Intelligent Node Document Servers) is a distributed system of knowledge-based query engines for efficiently retrieving multimedia documents in an office environment of distributed workstations. By learning document distribution patterns, as well as user interests and preferences during system usage, it customizes document retrievals for each user. The nodes cooperate by sharing knowledge (documents and their properties) metaknowledge (distribution of documents from individual user viewpoints) and query-processing tasks. An architecture for the intelligent node has been presented. The expert query handler uses the metaknowledge stored at the node to plan task and query decompositions while the expert document manager performs routine document handling activities and uses domain-level heuristics for acquiring and updating metaknowledge. A two-layer learning system was implemented for studying plausible heuristics.

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

    CERN Document Server

    Jain, Lakhmi

    2013-01-01

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

  3. ProbOnto: ontology and knowledge base of probability distributions

    Science.gov (United States)

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

    2016-01-01

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

  4. HINT-KB: The human interactome knowledge base

    KAUST Repository

    Theofilatos, Konstantinos A.

    2012-01-01

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

  5. VIALACTEA knowledge base homogenizing access to Milky Way data

    CERN Document Server

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

    2016-01-01

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

  6. A knowledge based severe accident handbook for PWR

    International Nuclear Information System (INIS)

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

  7. Building the knowledge base for environmental action and sustainability

    DEFF Research Database (Denmark)

    2015-01-01

    and – no conference without them ‐ all paper and poster authors, workshop organisers, helping hands, and participants for their work, enthusiasm and participation! Copenhagen, September 2015 Vivian Kvist Johannsen, Stefan Jensen, Volker Wohlgemuth, Chris Preist and Elina Eriksson (Chair Persons and Proceedings...... 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...... abstracts of applied papers were published in the Adjunct Proceedings, together with abstracts of 26 poster submissions and 11 workshop descriptions. The conference aims at renewing and vitalizing the concept of scientific conferences with the help of a partly new design, tiled ”ConverStations”, sessions...

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

    Science.gov (United States)

    Ricks, Wendell R.

    1990-01-01

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

  9. TMS for Instantiating a Knowledge Base With Incomplete Data

    Science.gov (United States)

    James, Mark

    2007-01-01

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

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

    Science.gov (United States)

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

    2015-05-01

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

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

    International Nuclear Information System (INIS)

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

  12. PREMISES FOR CREATING KNOWLEDGE-BASED ORGANIZATIONS IN ROMANIA

    Directory of Open Access Journals (Sweden)

    ADELA ANCA FUCEC

    2012-05-01

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

  13. Knowledge-Based Reinforcement Learning for Data Mining

    Science.gov (United States)

    Kudenko, Daniel; Grzes, Marek

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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2001-07-12

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

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

    Directory of Open Access Journals (Sweden)

    Nomusa Dlodlo

    2009-09-01

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

  16. Knowledge-based approaches for river basin management

    Directory of Open Access Journals (Sweden)

    P. Mikulecký

    2007-06-01

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

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

    International Nuclear Information System (INIS)

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

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

    International Nuclear Information System (INIS)

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

  19. A knowledge-based system design/information tool

    Science.gov (United States)

    Allen, James G.; Sikora, Scott E.

    1990-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Ximena Ferrada

    2013-01-01

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

  1. Knowledge Based Help desk System in Nuclear Malaysia

    International Nuclear Information System (INIS)

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

  2. Structural design systems using knowledge-based techniques

    International Nuclear Information System (INIS)

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

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

    Science.gov (United States)

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

    2012-07-01

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

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

    Institute of Scientific and Technical Information of China (English)

    LU RuQian; JIN Zhi

    2008-01-01

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

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

    Science.gov (United States)

    Schultz, Roger D.; Stobie, Iain

    1991-01-01

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

  6. Query-driven Procedures for Hybrid MKNF Knowledge Bases

    CERN Document Server

    Alferes, José Júlio; Swift, Terrance

    2010-01-01

    Hybrid MKNF knowledge bases are one of the most prominent tightly integrated combinations of open-world ontology languages with closed-world (non-monotonic) rule paradigms. The definition of Hybrid MKNF is parametric on the ontology language, in the sense that non-monotonic rules can extend any decidable ontology language. Hybrid MKNF has also been defined for rules that are evaluated under the stable model semantics and under the well-founded semantics (WFS). Under WFS, the definition of Hybrid MKNF relies on a bottom-up computation that has polynomial data complexity whenever the ontology language is tractable. Here we define a general query-driven procedure for Hybrid MKNF that is sound with respect to the stable model-based semantics, and sound and complete with respect to the WFS. This procedure is able to answer a slightly restricted form of conjunctive queries, and is based on tabled rule evaluation extended with an external oracle which captures reasoning within the ontology. Such an (abstract) oracle...

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

    Directory of Open Access Journals (Sweden)

    Denisa-Elena Parpandel

    2013-01-01

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

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

    Science.gov (United States)

    Harding, S M; Hawkins, J W

    2001-09-01

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

  9. The Enterprise’ Performance in the Knowledge Based Society

    Directory of Open Access Journals (Sweden)

    Nicoleta Barbuta-Misu

    2008-01-01

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

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

    Science.gov (United States)

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

    1992-02-01

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

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

    Indian Academy of Sciences (India)

    P Nagabhushan; Basavaraj S Anami

    2002-12-01

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

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

    Science.gov (United States)

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

    2015-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Alexander Falenski

    2015-01-01

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

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

    Science.gov (United States)

    Green, Lawrence L.

    2016-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Rus Mircea-Iosif

    2013-07-01

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

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

    Science.gov (United States)

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

    2015-01-01

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

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

    Institute of Scientific and Technical Information of China (English)

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

    2006-01-01

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

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

    OpenAIRE

    Nilsson, Jørgen Fischer

    2015-01-01

    We argue for adopting a form of natural logic for ontology-structured knowledge bases with complex sentences. This serves to ease reading of knowledge base for domain experts and to make reasoning and querying and path-finding more comprehensible. We explain natural logic as a development from traditional logic, pointing to essential differences to description logic. We conclude with a knowledge base set-up with an embedding into clausal logic, offering also a graph view of the sentences.

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

    OpenAIRE

    Mittal, Vibhu O.; Moore, Johanna D.

    1996-01-01

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

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

    OpenAIRE

    Yan WANG

    2008-01-01

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

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

    OpenAIRE

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

    2016-01-01

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

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

    International Nuclear Information System (INIS)

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

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

    OpenAIRE

    Sakai, Hiroshi

    1989-01-01

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

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

    DEFF Research Database (Denmark)

    Nilsson, Jørgen Fischer

    2015-01-01

    We argue for adopting a form of natural logic for ontology-structured knowledge bases with complex sentences. This serves to ease reading of knowledge base for domain experts and to make reasoning and querying and path-finding more comprehensible. We explain natural logic as a development from...... traditional logic, pointing to essential differences to description logic. We conclude with a knowledge base set-up with an embedding into clausal logic, offering also a graph view of the sentences....

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

    Science.gov (United States)

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

    2016-01-01

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

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

    International Nuclear Information System (INIS)

    Verification is a necessary work in developing a reliable expert system. Verification is a process aimed at demonstrating whether a system meets it's specified requirements. As expert systems are used in various applications, the knowledge base verification of systems takes an important position. The conventional Petri net approach that has been studied recently in order to verify the knowledge base is found that it is inadequate to verify the knowledge base of large and complex system, such as alarm processing system of nuclear power plant. Thus, we propose an improved method that models the knowledge base as enhanced colored Petri net. In this study, we analyze the reachability and the error characteristics of the knowledge base. Generally, verification process requires computational support by automated tools. For this reason, this study developed a tool for knowledge base verification based on Design/CPN, which is a tool for editing, modeling, and simulating Colored Petri net. This tool uses Enhanced Colored Petri net as a modeling method. By applying this tool to the knowledge base of nuclear power plant, it is noticed that it can successfully check most of the anomalies that can occur in a knowledge base

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

    NARCIS (Netherlands)

    Van Winden, W.

    2009-01-01

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

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

    NARCIS (Netherlands)

    Nour, S.

    2014-01-01

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

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

    OpenAIRE

    Da-Wei Jin; Li-Ning Xing

    2013-01-01

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

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

    Science.gov (United States)

    Kim, Young Whan; Kim, Jin H.

    1990-01-01

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

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

    Science.gov (United States)

    Diez, Mary E.

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

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

    Science.gov (United States)

    Casey, Anne Marie

    2012-01-01

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

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

    International Nuclear Information System (INIS)

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

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

    Science.gov (United States)

    Patel, Maulika S; Mazumdar, Himanshu S

    2014-11-21

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

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

    Energy Technology Data Exchange (ETDEWEB)

    Ydstie, B. Erik; Stuland, Kjetil M.

    2009-07-01

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

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

    OpenAIRE

    De Swaan Arons, H.; Waalewijn, Ph.

    1999-01-01

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

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

    International Nuclear Information System (INIS)

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

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

    DEFF Research Database (Denmark)

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

    2016-01-01

    This study uses patent analyses to compare the knowledge bases of leading wind turbine firms in Asia and Europe. It concentrates on the following three aspects: the trajectories of key technologies, external knowledge networks, and the globalisation of knowledge application. Our analyses suggest...... that the knowledge bases differ significantly between leading wind turbine firms in Europe and Asia. Europe’s leading firms have broader and deeper knowledge bases than their Asian counterparts. In contrast, the leading Chinese firms, with their unidirectional knowledge networks, are highly domestic in orientation...

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

    OpenAIRE

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

    2016-01-01

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

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

    Science.gov (United States)

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

    1999-01-01

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

  1. Knowledge-based sea ice classification by polarimetric SAR

    DEFF Research Database (Denmark)

    Skriver, Henning; Dierking, Wolfgang

    2004-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Maria Divina Gracia Z. Roldan

    2015-06-01

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

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

    Science.gov (United States)

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

    1994-01-01

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

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

    OpenAIRE

    Adam P. Balcerzak; Pietrzak, Michał Bernard

    2016-01-01

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

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

    NARCIS (Netherlands)

    Li, Zengyang; Liang, Peng; Avgeriou, Paris

    2013-01-01

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

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

    Science.gov (United States)

    LaBel, Kenneth A.

    2004-01-01

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

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

    Institute of Scientific and Technical Information of China (English)

    沈宁川; 李未

    1997-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Siti Hajar Khairuddin

    2012-01-01

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

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

    Science.gov (United States)

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

    2016-01-01

    Manufacturer information, user experiences and product availability of assistive living technologies are usually not known to citizens or consultation centers. The different knowledge levels concerning the availability of technology shows the need for building up a knowledge base. The aim of this contribution is the definition of requirements in the development of knowledge bases for AAL consultations. The major requirements, such as a maintainable and easy to use structure were implemented into a web based knowledge base, which went productive in ~3700 consulting interviews of municipal technology information centers. Within this field phase the implementation of the requirements for a knowledge base in the field of AAL consulting was evaluated and further developed. PMID:27577407

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

    Science.gov (United States)

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

    1991-01-01

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

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

    OpenAIRE

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

    2015-01-01

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

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

    OpenAIRE

    Williams, Sandra; Power, Richard; Third, Allan

    2014-01-01

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

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

    OpenAIRE

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

    1999-01-01

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

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

    OpenAIRE

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

    2012-01-01

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

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

    OpenAIRE

    Moßgraber, Jürgen; Rospocher, M.

    2012-01-01

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

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

    OpenAIRE

    Jonelle Cleland; Abbie Rogers

    2010-01-01

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

  17. “Knowledge management for SMEs in the knowledge based economy”

    OpenAIRE

    Nikolova, Elena; Fotov, Risto; Gogova Samonikov, Marija

    2012-01-01

    Abstract:In the knowledge-based economy firms are faced with much more capricious and diverse consumer preferences than ever. These consumers are increasingly interested in status, reputation, brand names, design, satisfaction, and post-sales service. Also, life span of products and services is shortened. In general, the advance of information technology and the advent of knowledge-based economy as the result of IT make the business environment for the average entrepreneur more complex. Knowl...

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

    OpenAIRE

    Van Winden, W.; Carvalho, L.

    2007-01-01

    The chapter focuses on the growing territorial imbalances between urban regions in the light of the sometimes painful transition towards a knowledge-based economy. Drawing from the vast literature on urban competitiveness, it develops an integrative framework to asses and compare urban regions’ performance and assets in the emerging knowledge-based economy. In a second stage, the framework is applied to the Portuguese metropolis of Porto and Lisbon in order to illustrate how the current tende...

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

    OpenAIRE

    Harangus, Daniela; Duda-Daianu, Dana Codruta

    2008-01-01

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

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

    OpenAIRE

    Grazyna Wegrzyn

    2013-01-01

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

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

    OpenAIRE

    Valerica Olteanu

    2006-01-01

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

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

    OpenAIRE

    Arab Maki, Alireza; Shariat Zadeh, Navid

    2010-01-01

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

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

    OpenAIRE

    Robert T. Hans; Pantaleo M.D. Rwelamila

    2012-01-01

    The primary purpose of this research study is two-fold: Firstly, to establish the knowledge base of project managers in the South African ICT Sector. Secondly, to establish whether project management as a discipline is regarded as an important profession in the South African ICT Sector. The paper based on a questionnaire analyses and discusses the knowledge base of project managers of ICT organisations listed on the Johannesburg Securities Exchange (JSE) as well as the perceive...

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

    Directory of Open Access Journals (Sweden)

    Gabriel Burstein

    2013-02-01

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

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

    OpenAIRE

    Tapankov, Martin

    2009-01-01

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

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

    International Nuclear Information System (INIS)

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

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

    Science.gov (United States)

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

    2013-12-01

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

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

    International Nuclear Information System (INIS)

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

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

    Science.gov (United States)

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

    2015-01-01

    Hippocampome.org is a comprehensive knowledge base of neuron types in the rodent hippocampal formation (dentate gyrus, CA3, CA2, CA1, subiculum, and entorhinal cortex). Although the hippocampal literature is remarkably information-rich, neuron properties are often reported with incompletely defined and notoriously inconsistent terminology, creating a formidable challenge for data integration. Our extensive literature mining and data reconciliation identified 122 neuron types based on neurotransmitter, axonal and dendritic patterns, synaptic specificity, electrophysiology, and molecular biomarkers. All ∼3700 annotated properties are individually supported by specific evidence (∼14,000 pieces) in peer-reviewed publications. Systematic analysis of this unprecedented amount of machine-readable information reveals novel correlations among neuron types and properties, the potential connectivity of the full hippocampal circuitry, and outstanding knowledge gaps. User-friendly browsing and online querying of Hippocampome.org may aid design and interpretation of both experiments and simulations. This powerful, simple, and extensible neuron classification endeavor is unique in its detail, utility, and completeness. PMID:26402459

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

    International Nuclear Information System (INIS)

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

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

    Science.gov (United States)

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

    2013-01-01

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

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

    Science.gov (United States)

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

    2016-01-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2003-09-23

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

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

    Science.gov (United States)

    Zheng, Zheng

    2013-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Anchalee Jansem

    2014-11-01

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

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

    International Nuclear Information System (INIS)

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

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

    Science.gov (United States)

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

    2010-08-01

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

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

    Directory of Open Access Journals (Sweden)

    Huser V

    2014-09-01

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

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

    Institute of Scientific and Technical Information of China (English)

    LUAN ShangMin; DAI GuoZhong

    2008-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Ion IVAN

    2011-02-01

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

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

    Directory of Open Access Journals (Sweden)

    Hassink Robert

    2014-12-01

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

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

    Directory of Open Access Journals (Sweden)

    George Goehring

    2013-03-01

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

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

    Institute of Scientific and Technical Information of China (English)

    NEMOTO Yutaro; AKASAKA Fumiya; CHIBA Ryosuke; SHIMOMURA Yoshiki

    2012-01-01

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

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

    Institute of Scientific and Technical Information of China (English)

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

    2002-01-01

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

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

    CERN Document Server

    Leydesdorff, Loet

    2009-01-01

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

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

    Science.gov (United States)

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

    2010-11-13

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

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

    Directory of Open Access Journals (Sweden)

    Pavel Gardavsky

    2012-01-01

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

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

    DEFF Research Database (Denmark)

    Asheim, Bjørn T.; Hansen, Høgni Kalsø

    2009-01-01

    in the creative class share common locational preferences.We argue that the creative class draws on three different knowledge bases: synthetic, analytical, and symbolic, which have different implications for people’s residential locational preferences with respect to a people climate and a business climate......, and tolerance) have been adopted without considering whether the theory fits into the settings of a specific urban and regional context. This article aims to contextualize and unpack the creative class approach by applying the knowledge-base approach and break down the rigid assumption that all people....... Furthermore, the dominating knowledge base in a region has an influence on the importance of a people climate and a business climate for attracting and retaining talent. In this article, we present an empirical analysis in support of these arguments using original Swedish data....

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

    International Nuclear Information System (INIS)

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

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

    OpenAIRE

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

    2012-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Burja Camelia

    2012-12-01

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

  12. Automatic Recognition of Chinese Personal Name Using Conditional Random Fields and Knowledge Base

    Directory of Open Access Journals (Sweden)

    Chuan Gu

    2015-01-01

    Full Text Available According to the features of Chinese personal name, we present an approach for Chinese personal name recognition based on conditional random fields (CRF and knowledge base in this paper. The method builds multiple features of CRF model by adopting Chinese character as processing unit, selects useful features based on selection algorithm of knowledge base and incremental feature template, and finally implements the automatic recognition of Chinese personal name from Chinese document. The experimental results on open real corpus demonstrated the effectiveness of our method and obtained high accuracy rate and high recall rate of recognition.

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

    Science.gov (United States)

    Kopanitsa, Georgy

    2014-01-01

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

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

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

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

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

    DEFF Research Database (Denmark)

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

    2013-01-01

    We describe a framework affording computation of conceptual pathways between a pair of terms presented as a query to a text database. In this framework, information is extracted from text sentences and becomes represented in natural logic, which is a form of logic coming much closer to natural...... language than predicate logic. Natural logic accommodates a variety of scientific parlance, ontologies and domain models. It also supports a semantic net or graph view of the knowledge base. This admits computation of relationships between concepts simultaneously through pathfinding in the knowledge base...

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

    International Nuclear Information System (INIS)

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

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

    Science.gov (United States)

    Kopanitsa, Georgy

    2014-01-01

    To enable the efficient reuse of standard based medical data we propose to develop a higher-level information model that will complement the archetype model of ISO 13606. This model will make use of the relationships that are specified in UML to connect medical archetypes into a knowledge base within a repository. UML connectors were analysed for their ability to be applied in the implementation of a higher-level model that will establish relationships between archetypes. An information model was developed using XML Schema notation. The model allows linking different archetypes of one repository into a knowledge base. Presently it supports several relationships and will be advanced in future. PMID:24743069

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

    OpenAIRE

    Carini, Simona; Sim, Ida

    2003-01-01

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

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

    DEFF Research Database (Denmark)

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

    2010-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Shin Sook-Il

    2011-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Ana Barbara MUNGARAY-MOCTEZUMA

    2015-06-01

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

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

    International Nuclear Information System (INIS)

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

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

    NARCIS (Netherlands)

    Van Winden, W.; Carvalho, L.

    2007-01-01

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

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

    Science.gov (United States)

    Dogancay-Aktuna, Seran

    2006-01-01

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

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

    Science.gov (United States)

    Stiffler, A. Kent

    1989-01-01

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

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

    Science.gov (United States)

    Ruzek, S; Hill, J

    1986-01-01

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

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

    Science.gov (United States)

    Vickers, Joan N.; Gaines, Brian R.

    1988-01-01

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

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

    OpenAIRE

    Steiner, Michael

    2001-01-01

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

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

    NARCIS (Netherlands)

    Belo, Nelleke; McKenney, Susan; Voogt, Joke

    2014-01-01

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

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

    NARCIS (Netherlands)

    Schaap, H.

    2011-01-01

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

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

    Science.gov (United States)

    Tyler, Kathleen P.

    2012-01-01

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

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

    Science.gov (United States)

    Hassan, E.

    2003-01-01

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

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

    Science.gov (United States)

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

    2010-01-01

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

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

    NARCIS (Netherlands)

    Scheerens, Jaap

    2016-01-01

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

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

    Science.gov (United States)

    Cheng, Gang; Du, Qingyun

    2009-10-01

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

  16. Not "There" Yet: A Canadian Perspective on the Knowledge Base in Educational Administration.

    Science.gov (United States)

    Young, Beth

    A feminist perspective on educational administration in Canada is provided in this paper, which reviews feminist critiques of educational administration research and offers a synthesis of contemporary Canadian feminist research. The main thesis is that the Canadian knowledge base has begun to incorporate the concepts of "Canadian" and "education";…

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

    Science.gov (United States)

    Lowe, M. Sara

    2008-01-01

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

  18. Will They Know Enough?: Pre-Service Primary Teachers' Knowledge Base for Teaching Integrated Social Sciences

    Science.gov (United States)

    Tambyah, Mallihai

    2008-01-01

    A significant issue in primary teacher education is developing a knowledge base which prepares teachers to teach in a range of subject areas. In Australia, the problem in primary social science education is compounded by the integrated nature of the key learning area of Studies of Society and Environment (SOSE). Recent debates on teaching…

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

    DEFF Research Database (Denmark)

    Kjærgaard, Isa Jensen

    2003-01-01

    This paper analyses the inter-relationship between organizational identity and intellectual capital (IC) statements and suggests the IC statement as a framework for developing a knowledge-based identity. The results are based on a case study of a Danish electricity transmission system company, wh...

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

    Science.gov (United States)

    James, Laura; Guile, David; Unwin, Lorna

    2013-01-01

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

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

    Science.gov (United States)

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

    1998-01-01

    Medicine is increasingly image-intensive. The central importance of imaging technologies such as computerized tomography and magnetic resonance imaging in clinical decision making, combined with the trend to store many "traditional" clinical images such as conventional radiographs, microscopic pathology and dermatology images in digital format present both challenges and an opportunities for the designers of clinical information systems. The emergence of Multimedia Electronic Medical Record Systems (MEMRS), architectures that integrate medical images with text-based clinical data, will further hasten this trend. The development of these systems, storing a large and diverse set of medical images, suggests that in the future MEMRS will become important digital libraries supporting patient care, research and education. The representation and retrieval of clinical images within these systems is problematic as conventional database architectures and information retrieval models have, until recently, focused largely on text-based data. Medical imaging data differs in many ways from text-based medical data but perhaps the most important difference is that the information contained within imaging data is fundamentally knowledge-based. New representational and retrieval models for clinical images will be required to address this issue. Within the Image Engine multimedia medical record system project at the University of Pittsburgh we are evolving an approach to representation and retrieval of medical images which combines semantic indexing using the UMLS Metathesuarus, image content-based representation and knowledge-based image analysis. PMID:9929345

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

    Science.gov (United States)

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

    1998-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Robert T. Hans

    2012-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Julien Pénin

    2011-12-01

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

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

    Directory of Open Access Journals (Sweden)

    Ágnes Szeghegyi

    2007-08-01

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

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

    CERN Document Server

    Leydesdorff, Loet

    2010-01-01

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

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

    International Nuclear Information System (INIS)

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

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

    International Nuclear Information System (INIS)

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

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

    Science.gov (United States)

    Beyan, Oya D; Baykal, Nazife

    2012-02-01

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

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

    Science.gov (United States)

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

    1994-01-01

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

  11. An RDF/OWL knowledge base for query answering and decision support in clinical pharmacogenetics.

    Science.gov (United States)

    Samwald, Matthias; Freimuth, Robert; Luciano, Joanne S; Lin, Simon; Powers, Robert L; Marshall, M Scott; Adlassnig, Klaus-Peter; Dumontier, Michel; Boyce, Richard D

    2013-01-01

    Genetic testing for personalizing pharmacotherapy is bound to become an important part of clinical routine. To address associated issues with data management and quality, we are creating a semantic knowledge base for clinical pharmacogenetics. The knowledge base is made up of three components: an expressive ontology formalized in the Web Ontology Language (OWL 2 DL), a Resource Description Framework (RDF) model for capturing detailed results of manual annotation of pharmacogenomic information in drug product labels, and an RDF conversion of relevant biomedical datasets. Our work goes beyond the state of the art in that it makes both automated reasoning as well as query answering as simple as possible, and the reasoning capabilities go beyond the capabilities of previously described ontologies.

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

    CERN Document Server

    Leydesdorff, Loet

    2009-01-01

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

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

    DEFF Research Database (Denmark)

    Masango, Shingairai Grace; Marinova, Svetla Trifonova

    2014-01-01

    strong knowledge-based contacts. The ERISF acts as the source that provides the technical information and knowledge, which is then adopted by their network partners. This means that the ERISF’s product and technological capabilities drive the international knowledge creation process. The findings provide......This paper sets out to establish the sources of the relationships underpinning Early Rapidly Internationalising Small Firm (ERISF) cross border activities, the main characteristics and specific functions of these relationships, and their process of development. Using interview data from ten South...... African firms, the findings show that the founder’s pre-firm knowledge pools are important in establishing the source of the initial hierarchical knowledge-based interpersonal ties. ERISF internationalisation is enabled by an initial prior interpersonal network tie set, which is composed of predominantly...

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

    OpenAIRE

    Shahrul Azman Noah; Michael Lloyd-Williams

    1995-01-01

    The inclusion of real world knowledge or specialised knowledge has not been addressed by the majority of the systems reviewed. ODA has real world knowledge provided by using a thesaurus-type structure to represent generic models. Only NITDT includes the specialised knowledge in its knowledge base. NITDT classified its knowledge into application specific, domain specific and general knowledge. However the literature does not discuss in detail how this knowledge is applied during the design ses...

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

    OpenAIRE

    Mikroyannidis, Alexander; Lefrere, Paul; Scott, Peter

    2010-01-01

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

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

    Science.gov (United States)

    Medvedeva, O. V.

    2015-09-01

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

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

    OpenAIRE

    Ani MATEI; Matei, Lucica

    2011-01-01

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

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

    OpenAIRE

    Ilinca HOTARAN; ZAMFIR Andreea

    2011-01-01

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

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

    OpenAIRE

    Gabriel Burstein; Constantin Virgil Negoita

    2013-01-01

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

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

    OpenAIRE

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

    2010-01-01

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

  1. Knowledge based system for runtime controlling of multiscale model of ion-exchange solvent extraction

    Science.gov (United States)

    Macioł, Piotr; Gotfryd, Leszek; Macioł, Andrzej

    2012-09-01

    The hereby paper concerns the issue of solution of runtime controlling of multiscale model of ion-exchange solvent extraction. It is based on cooperation of a framework applying Agile Multiscale Modeling Methodology (AM3), and the REBIT Knowledge Based System. Ion-exchange solvent extraction has been shortly introduced. Design assumptions of AM3 and theoretical basis of REBIT have been described. Designed workflows and rules for simple laminar/ turbulent flow and extraction processes have been shown.

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

    OpenAIRE

    Margarida R. Paulos; António B. Moniz

    2009-01-01

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

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

    OpenAIRE

    Seyed Ayatollah Razmjoo; Alireza Rasti

    2014-01-01

    Based on the expert observation that the teacher “supervisor’s role is, in part, culturally defined” (Bailey, 2006, p.6), and the perceived gap that few supervisors receive formal training, in the current study, the researchers report on the views of Ministry of Education (MOE) teachers and supervisors in the Iranian context as to what constitutes the knowledge base of supervisors. Having conducted qualitative content analysis on the data gleaned from interviews with the teachers and supervis...

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

    OpenAIRE

    Bembenek, B

    2016-01-01

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

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

    OpenAIRE

    Pineda B. Clelia

    2009-01-01

    Searching for an appropriate definition of what constitutes knowledge base in the teaching profession has become a central focus of attention for researchers, educators, and accreditation agencies during the last decades. The importance of clarifying such a definition has a double value. On the one hand it has become a determinant factor when assessing if teacher preparation programs are meeting the standards for excellence in education. On the other hand, the issue concerns prospective and e...

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

    OpenAIRE

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

    2013-01-01

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

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

    OpenAIRE

    Li Yueh; Ying Lee; F. Barry Barnes

    2010-01-01

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

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

    OpenAIRE

    Dragomir Sundać; Irena Fatur Krmpotić

    2011-01-01

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

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

    OpenAIRE

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

    2010-01-01

    Abstract Background Chemical compounds affecting a bioactivity can usually be classified into several groups, each of which shares a characteristic substructure. We call these substructures "basic active structures" or BASs. The extraction of BASs is challenging when the database of compounds contains a variety of skeletons. Data mining technology, associated with the work of chemists, has enabled the systematic elaboration of BASs. Results This paper presents a BAS knowledge base, BASiC, whi...

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

    OpenAIRE

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

    2010-01-01

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

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

    OpenAIRE

    Bès, Gabriel G.

    1989-01-01

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

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

    OpenAIRE

    Antohi Ionut

    2013-01-01

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

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

    OpenAIRE

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

    1993-01-01

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

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

    OpenAIRE

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

    1993-01-01

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

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

    OpenAIRE

    Asheim, Bjørn; Coenen, Lars

    2005-01-01

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

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

    OpenAIRE

    Strambach, Simone

    2015-01-01

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

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

    OpenAIRE

    Marcozzi, Andrea

    2009-01-01

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

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

    OpenAIRE

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

    2010-01-01

    Recognizing Textual Entailment (RTE) is a relatively new problem necessary for Natural Language Understanding (NLU) and Automated Knowledge Discovery. Natural Language Inference has dealt with approaches like the bag of words approach, formal methods (First order Logic) and pattern relation extraction which usually do not show satisfactory results. In this paper, Knowledge based approach has been proposed, utilizing data mining concepts on large text which is appropriately classified. Differe...

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

    International Nuclear Information System (INIS)

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

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

    Directory of Open Access Journals (Sweden)

    Aderonke A. Kayode

    2012-12-01

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

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

    Directory of Open Access Journals (Sweden)

    Kyle H. Ambert

    2013-12-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2003-07-01

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

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

    Directory of Open Access Journals (Sweden)

    Dr. Arti Arya

    2010-09-01

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

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

    Science.gov (United States)

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

    2012-04-01

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

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

    Directory of Open Access Journals (Sweden)

    Hayashi Taketo

    2010-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Gibert Karina

    2010-12-01

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

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

    International Nuclear Information System (INIS)

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

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

    Directory of Open Access Journals (Sweden)

    Michele Duarte de Menezes

    2014-08-01

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

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

    Science.gov (United States)

    Petrovecki, Mladen; Paar, Vladimir; Primorac, Dragan

    2006-12-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

    Reddy, S.

    1991-01-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

    Gruenfeld, Leo A.; Espelien, Anne

    2011-07-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

    Shiraishi, Satomi; Moore, Kevin L., E-mail: kevinmoore@ucsd.edu [Department of Radiation Medicine and Applied Sciences, University of California, San Diego, La Jolla, California 92093 (United States); Tan, Jun [Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, Texas 75490 (United States); Olsen, Lindsey A. [Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri 63110 (United States)

    2015-02-15

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

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

    Directory of Open Access Journals (Sweden)

    Faisal Manzoor Arain

    2009-11-01

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

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

    Science.gov (United States)

    Faez, Farahnaz

    2011-01-01

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

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

    NARCIS (Netherlands)

    Zhao, Pengjun; Lu, Bo

    2010-01-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2014-12-15

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

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

    International Nuclear Information System (INIS)

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

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

    International Nuclear Information System (INIS)

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

  19. Knowledge-based and model-based hybrid methodology for comprehensive waste minimization in electroplating plants

    Science.gov (United States)

    Luo, Keqin

    1999-11-01

    The electroplating industry of over 10,000 planting plants nationwide is one of the major waste generators in the industry. Large quantities of wastewater, spent solvents, spent process solutions, and sludge are the major wastes generated daily in plants, which costs the industry tremendously for waste treatment and disposal and hinders the further development of the industry. It becomes, therefore, an urgent need for the industry to identify technically most effective and economically most attractive methodologies and technologies to minimize the waste, while the production competitiveness can be still maintained. This dissertation aims at developing a novel WM methodology using artificial intelligence, fuzzy logic, and fundamental knowledge in chemical engineering, and an intelligent decision support tool. The WM methodology consists of two parts: the heuristic knowledge-based qualitative WM decision analysis and support methodology and fundamental knowledge-based quantitative process analysis methodology for waste reduction. In the former, a large number of WM strategies are represented as fuzzy rules. This becomes the main part of the knowledge base in the decision support tool, WMEP-Advisor. In the latter, various first-principles-based process dynamic models are developed. These models can characterize all three major types of operations in an electroplating plant, i.e., cleaning, rinsing, and plating. This development allows us to perform a thorough process analysis on bath efficiency, chemical consumption, wastewater generation, sludge generation, etc. Additional models are developed for quantifying drag-out and evaporation that are critical for waste reduction. The models are validated through numerous industrial experiments in a typical plating line of an industrial partner. The unique contribution of this research is that it is the first time for the electroplating industry to (i) use systematically available WM strategies, (ii) know quantitatively and

  20. Knowledge based ranking algorithm for comparative assessment of post-closure care needs of closed landfills

    International Nuclear Information System (INIS)

    Post-closure care (PCC) activities at landfills include cap maintenance; water quality monitoring; maintenance and monitoring of the gas collection/control system, leachate collection system, groundwater monitoring wells, and surface water management system; and general site maintenance. The objective of this study was to develop an integrated data and knowledge based decision making tool for preliminary estimation of PCC needs at closed landfills. To develop the decision making tool, 11 categories of parameters were identified as critical areas which could affect future PCC needs. Each category was further analyzed by detailed questions which could be answered with limited data and knowledge about the site, its history, location, and site specific characteristics. Depending on the existing knowledge base, a score was assigned to each question (on a scale 1-10, as 1 being the best and 10 being the worst). Each category was also assigned a weight based on its relative importance on the site conditions and PCC needs. The overall landfill score was obtained from the total weighted sum attained. Based on the overall score, landfill conditions could be categorized as critical, acceptable, or good. Critical condition indicates that the landfill may be a threat to the human health and the environment and necessary steps should be taken. Acceptable condition indicates that the landfill is currently stable and the monitoring should be continued. Good condition indicates that the landfill is stable and the monitoring activities can be reduced in the future. The knowledge base algorithm was applied to two case study landfills for preliminary assessment of PCC performance.

  1. Aging-kb: a knowledge base for the study of the Aging process

    OpenAIRE

    Kevin G Becker; Holmes, Karen A.; Zhang, Yongqing

    2011-01-01

    As the science of the aging process moves forward, a recurring challenge is the integration of multiple types of data and information with classical aging theory while disseminating that information to the scientific community. Here we present AGING-kb, a public knowledge base with the goal of conceptualizing and presenting fundamental aspects of the study of the aging process. Aging-kb has two interconnected parts, the Aging-kb tree and the Aging Wiki. The Aging-kb tree is a simple intuitive...

  2. Knowledge-Based Motion Control of AN Intelligent Mobile Autonomous System

    Science.gov (United States)

    Isik, Can

    An Intelligent Mobile Autonomous System (IMAS), which is equipped with vision and low level sensors to cope with unknown obstacles, is modeled as a hierarchy of path planning and motion control. This dissertation concentrates on the lower level of this hierarchy (Pilot) with a knowledge-based controller. The basis of a theory of knowledge-based controllers is established, using the example of the Pilot level motion control of IMAS. In this context, the knowledge-based controller with a linguistic world concept is shown to be adequate for the minimum time control of an autonomous mobile robot motion. The Pilot level motion control of IMAS is approached in the framework of production systems. The three major components of the knowledge-based control that are included here are the hierarchies of the database, the rule base and the rule evaluator. The database, which is the representation of the state of the world, is organized as a semantic network, using a concept of minimal admissible vocabulary. The hierarchy of rule base is derived from the analytical formulation of minimum-time control of IMAS motion. The procedure introduced for rule derivation, which is called analytical model verbalization, utilizes the concept of causalities to describe the system behavior. A realistic analytical system model is developed and the minimum-time motion control in an obstacle strewn environment is decomposed to a hierarchy of motion planning and control. The conditions for the validity of the hierarchical problem decomposition are established, and the consistency of operation is maintained by detecting the long term conflicting decisions of the levels of the hierarchy. The imprecision in the world description is modeled using the theory of fuzzy sets. The method developed for the choice of the rule that prescribes the minimum-time motion control among the redundant set of applicable rules is explained and the usage of fuzzy set operators is justified. Also included in the

  3. Development and maintenance of the technical and scientific knowledge base necessary for TSOs

    International Nuclear Information System (INIS)

    The development and maintenance of the technical and scientific knowledge base crucial for the nuclear field, and the management of knowledge and the response to society's expectations are key issues for this sector. In this context and regarding the challenges faced by technical and scientific support organizations (TSOs), two main points must be addressed: the role of TSOs with respect to the national regulatory body and the knowledge base necessary to enable TSOs to provide high quality support to the operators/industry regarding existing facilities and those under construction or planned for the future. The Institut de radioprotection et de surete nucleaire (IRSN) is a public sector expert body in charge of the technical assessment and research related to nuclear and radiological risks. Its main functions are to support the French public authorities in the field of safety, security and radiation protection, and to perform research either alone or with other TSOs, or in collaboration with the nuclear industry. The example of the IRSN shows that the research performed by TSOs is important for many reasons, as it makes it easier to focus research on assessment needs and to utilize the results appropriately, and it enhances the scientific credibility of TSOs. It also appears that a distinction should be made between technical safety organizations supporting the regulatory authorities, which do not promote nuclear applications, and other TSOs, which do. The objective of the assessment process is to advise authorities on practical decisions within a well defined time scale. To achieve this aim, the TSOs should be familiar with the installations and their operation, and with a large number of specialized technical and scientific subjects. The TSOs should also have well established methodologies and concepts to integrate the various aspects of the assessment. For existing facilities, there is a need to extend the knowledge base in areas such as reduction of

  4. Method of fault diagnosis in nuclear power plant base on genetic algorithm and knowledge base

    International Nuclear Information System (INIS)

    Via using the knowledge base, combining Genetic Algorithm and classical probability and contraposing the characteristic of the fault diagnosis of NPP. The authors put forward a method of fault diagnosis. In the process of fault diagnosis, this method contact the state of NPP with the colony in GA and transform the colony to get the individual that adapts to the condition. On the 950MW full size simulator in Beijing NPP simulation training center, experimentation shows it has comparative adaptability to the imperfection of expert knowledge, illusive signal and other instance

  5. A Prototype Natural Language Interface to a Large Complex Knowledge Base, the Foundational Model of Anatomy

    OpenAIRE

    Distelhorst, Gregory; Srivastava, Vishrut; Rosse, Cornelius; Brinkley, James F.

    2003-01-01

    We describe a constrained natural language interface to a large knowledge base, the Foundational Model of Anatomy (FMA). The interface, called GAPP, handles simple or nested questions that can be parsed to the form, subject-relation-object, where subject or object is unknown. With the aid of domain-specific dictionaries the parsed sentence is converted to queries in the StruQL graph-searching query language, then sent to a server we developed, called OQAFMA, that queries the FMA and returns o...

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

    DEFF Research Database (Denmark)

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

    2007-01-01

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

  7. Use of metaknowledge in the verification of knowledge-based systems

    Science.gov (United States)

    Morell, Larry J.

    1989-01-01

    Knowledge-based systems are modeled as deductive systems. The model indicates that the two primary areas of concern in verification are demonstrating consistency and completeness. A system is inconsistent if it asserts something that is not true of the modeled domain. A system is incomplete if it lacks deductive capability. Two forms of consistency are discussed along with appropriate verification methods. Three forms of incompleteness are discussed. The use of metaknowledge, knowledge about knowledge, is explored in connection to each form of incompleteness.

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

    CERN Document Server

    Bak, Jaroslaw

    2011-01-01

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

  9. The NC (numerically controlled) assistant: Interfacing knowledge based manufacturing tools to CAD/CAM systems

    Energy Technology Data Exchange (ETDEWEB)

    Burd, W.C.

    1988-01-01

    A knowledge based computer program that assists programmers of numerically controlled (NC) machine tools is described. The program uses part features identified by the NC programmer and a set of expert system manufacturing rules to select cutting parameters and produce NC part programs. An expert system shell determines the NC sequence and the machining parameters. Several point-to-point NC functions are currently in production. A CAD/CAM system interface for milling and turning functions is also described. 2 refs., 24 figs.

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

    DEFF Research Database (Denmark)

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

    1999-01-01

    In this paper, we propose a knowledge-based multiple access protocol for the extension of wireline ATM to wireless networks. The objective is to enable effecient transmission of all kinds of ATM traffic in the wireless channel with guaranteed QoS.The proposed protocol utilixes knowledge of the main...... characteristics of the traffic for allocating bandwidth effeciently to CBR, VBR and ABR/UBR connections by a compromise of assignment, contetion, reservation and polling access techniques. Simulation results show that the proposed protocol can achieve a very high channel utilization of 90 % while providing...

  11. Why does site visit matter in global software development: A knowledge-based perspective

    DEFF Research Database (Denmark)

    Zahedi, Mansooreh; Babar, Muhammad Ali

    2016-01-01

    visit, several observations of a selected set of the team members’ activities during the visit and 13 semi-structured interviews. Results: Looking through the lens of knowledge-based theory of the firm, we have found that social and professional activities organized during the visit, facilitated...... impact knowledge sharing between sites. Objective: This study aimed at empirically investigating activities that take place during temporary col- location of dispersed members and analyzing the outcomes of the visit for supporting and improving knowledge sharing. Method: We report a longitudinal case...

  12. Evaluation and exploitation of knowledge robustness in knowledge-based systems

    CERN Document Server

    Barcikowski, M; Lefebvre, A; Martínez, M; Renaud, J

    2008-01-01

    Industrial knowledge is complex, difficult to formalize and very dynamic in reason of the continuous development of techniques and technologies. The verification of the validity of the knowledge base at the time of its elaboration is not sufficient. To be exploitable, this knowledge must then be able to be used under conditions (slightly) different from the conditions in which it was formalized. So, it becomes vital for the company to permanently evaluate the quality of the industrial knowledge implemented in the system. This evaluation is founded on the concept of robustness of the knowledge formalized by conceptual graphs. The evaluation method is supported by a computerized tool.

  13. Knowledge and knowledge bases in the learning process og polish companies

    DEFF Research Database (Denmark)

    Lorentzen, Anne

    2003-01-01

    strategies of which are analysed and compared. These strategies have much in common and can be seen as quite successful. Some common problems also exist in relation to mismatches within and between the different knowledge bases. The differences are none the less interesting to consider. They are due......The paper deals with the learning and innovation strategies of manufacturing companies in the economies of transformation. The point of departure is the development of a theoretical framework dealing innovation, knowledge and learning. The case is two manufacturing companies in Poland, the learning...

  14. Expanding the social dimension - Towards a knowledge base for product-service innovation

    OpenAIRE

    Ericson, Åsa; Larsson, Tobias; Larsson, Andreas

    2011-01-01

    The extension of businesses to incorporate the provision of function as a service in supplement to standalone products is an ongoing movement in manufacturing industry. In short, this means that the development intent should be guided by the need of ‘performance in use’ that the customer wants, e.g. thrust rather than an engine. By this, the established knowledge base challenges the development team. This paper embarks from the assumption that there are three main challenges, i.e. (1) innovat...

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

    Science.gov (United States)

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

    1991-01-01

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

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

    Science.gov (United States)

    Karla, Pramukh R; Gurupur, Varadraj P

    2013-10-01

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

  17. An American knowledge base in England - Alternate implementations of an expert system flight status monitor

    Science.gov (United States)

    Butler, G. F.; Graves, A. T.; Disbrow, J. D.; Duke, E. L.

    1989-01-01

    A joint activity between the Dryden Flight Research Facility of the NASA Ames Research Center (Ames-Dryden) and the Royal Aerospace Establishment (RAE) on knowledge-based systems has been agreed. Under the agreement, a flight status monitor knowledge base developed at Ames-Dryden has been implemented using the real-time AI (artificial intelligence) toolkit MUSE, which was developed in the UK. Here, the background to the cooperation is described and the details of the flight status monitor and a prototype MUSE implementation are presented. It is noted that the capabilities of the expert-system flight status monitor to monitor data downlinked from the flight test aircraft and to generate information on the state and health of the system for the test engineers provides increased safety during flight testing of new systems. Furthermore, the expert-system flight status monitor provides the systems engineers with ready access to the large amount of information required to describe a complex aircraft system.

  18. A method of knowledge base verification and validation for nuclear power plants expert systems

    International Nuclear Information System (INIS)

    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. As a result of this popularity, a large number of expert systems are developed. The nature of expert systems, however, requires that they be verified and validated carefully and that detailed methodologies for their development be devised. Therefore, it is widely noted that assuring the reliability of expert systems is very important, especially in nuclear industry, and it is also recognized that the process of verification and validation is an essential part of reliability assurance for these systems. Research and practices have produced numerous methods for expert system verification and validation (V and V) that suggest traditional software and system approaches to V and V. However, many approaches and methods for expert system V and V are partial, unreliable, and not uniform. The purpose of this paper is to present a new approach to expert system V and V, based on Petri nets, providing a uniform model. We devise and suggest an automated tool, called COKEP (Checker Of Knowledge base using Extended Petri net), for checking incorrectness, inconsistency, and incompleteness in a knowledge base. We also suggest heuristic analysis for validation process to show that the reasoning path is correct

  19. Knowledge-based system V and V in the Space Station Freedom program

    International Nuclear Information System (INIS)

    Knowledge Based System (KBSs) are expected to be heavily used in the Space Station Freedom Program (SSFP). Although SSFP Verification and Validation (V and V) requirements are based on the latest state-of-the-practice in software engineering technology, they may be insufficient for Knowledge Based Systems (KBSs); it is widely stated that there are differences in both approach and execution between KBS V and V and conventional software V and V. In order to better understand this issue, the authors have surveyed and/or interviewed developers from sixty expert system projects in order to understand the differences and difficulties in KBS V and V. They have used these survey results to analyze the SSFP V and V requirements for conventional software in order to determine which specific requirements are inappropriate for KBS V and V and why they are inappropriate. Further work will result in a set of recommendations that can be used either as guidelines for applying conventional software V and V requirements to KBSs or as modifications to extend the existing SSFP conventional software V and V requirements to include KBS requirements. The results of this work are significant to many projects, in addition to SSFP, which will involve KBSs

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

    Science.gov (United States)

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

    2013-01-01

    Industrial accidents are among the most known challenges to business continuity. Many organisations have lost their reputation following devastating accidents. To manage the risks of such accidents, it is necessary to accumulate sufficient knowledge regarding their roots, causes and preventive techniques. The required knowledge might be obtained through various approaches, including databases. Unfortunately, many databases are hampered by (among other things) static data presentations, a lack of semantic features, and the inability to present accident knowledge as discrete domains. This paper proposes the use of Protégé software to develop a knowledge base for the domain of explosion accidents. Such a structure has a higher capability to improve information retrieval compared with common accident databases. To accomplish this goal, a knowledge management process model was followed. The ontological explosion knowledge base (EKB) was built for further applications, including process accident knowledge retrieval and risk management. The paper will show how the EKB has a semantic feature that enables users to overcome some of the search constraints of existing accident databases. PMID:24113639

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

    Science.gov (United States)

    McAllister, M.; Tressel, S.

    2012-12-01

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

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

    Science.gov (United States)

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

    2011-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Liyuan Guo

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

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

    Directory of Open Access Journals (Sweden)

    Endra Pitowarno, Musa Mailah, Hishamuddin Jamaluddin

    2012-08-01

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

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

    Science.gov (United States)

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

    2014-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Vasile MAZILESCU

    2011-11-01

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

  7. An integrated analytic tool and knowledge-based system approach to aerospace electric power system control

    Science.gov (United States)

    Owens, William R.; Henderson, Eric; Gandikota, Kapal

    1986-10-01

    Future aerospace electric power systems require new control methods because of increasing power system complexity, demands for power system management, greater system size and heightened reliability requirements. To meet these requirements, a combination of electric power system analytic tools and knowledge-based systems is proposed. The continual improvement in microelectronic performance has made it possible to envision the application of sophisticated electric power system analysis tools to aerospace vehicles. These tools have been successfully used in the measurement and control of large terrestrial electric power systems. Among these tools is state estimation which has three main benefits. The estimator builds a reliable database for the system structure and states. Security assessment and contingency evaluation also require a state estimator. Finally, the estimator will, combined with modern control theory, improve power system control and stability. Bad data detection as an adjunct to state estimation identifies defective sensors and communications channels. Validated data from the analytic tools is supplied to a number of knowledge-based systems. These systems will be responsible for the control, protection, and optimization of the electric power system.

  8. The role of semantics in mining frequent patterns from knowledge bases in description logics with rules

    CERN Document Server

    Jozefowska, Joanna; Lukaszewski, Tomasz

    2010-01-01

    We propose a new method for mining frequent patterns in a language that combines both Semantic Web ontologies and rules. In particular we consider the setting of using a language that combines description logics with DL-safe rules. This setting is important for the practical application of data mining to the Semantic Web. We focus on the relation of the semantics of the representation formalism to the task of frequent pattern discovery, and for the core of our method, we propose an algorithm that exploits the semantics of the combined knowledge base. We have developed a proof-of-concept data mining implementation of this. Using this we have empirically shown that using the combined knowledge base to perform semantic tests can make data mining faster by pruning useless candidate patterns before their evaluation. We have also shown that the quality of the set of patterns produced may be improved: the patterns are more compact, and there are fewer patterns. We conclude that exploiting the semantics of a chosen r...

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

    Directory of Open Access Journals (Sweden)

    George Karavokiros

    2016-09-01

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

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

    Directory of Open Access Journals (Sweden)

    Ivanović-Vojvodić Jelena

    2015-01-01

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

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

    Science.gov (United States)

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

    2004-12-01

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

  12. Knowledge Base Approach for 3D Objects Detection in Point Clouds Using 3D Processing and Specialists Knowledge

    OpenAIRE

    Ben Hmida, Helmi; Cruz, Christophe; Boochs, Frank; Nicolle, Christophe

    2013-01-01

    International audience This paper presents a knowledge-based detection of objects approach using the OWL ontology language, the Semantic Web Rule Language, and 3D processing built-ins aiming at combining geometrical analysis of 3D point clouds and specialist's knowledge. Here, we share our experience regarding the creation of 3D semantic facility model out of unorganized 3D point clouds. Thus, a knowledge-based detection approach of objects using the OWL ontology language is presented. Thi...

  13. Knowledge-base for the new human reliability analysis method, A Technique for Human Error Analysis (ATHEANA)

    International Nuclear Information System (INIS)

    This paper describes the knowledge base for the application of the new human reliability analysis (HRA) method, a ''A Technique for Human Error Analysis'' (ATHEANA). Since application of ATHEANA requires the identification of previously unmodeled human failure events, especially errors of commission, and associated error-forcing contexts (i.e., combinations of plant conditions and performance shaping factors), this knowledge base is an essential aid for the HRA analyst

  14. Methods and indices of evaluation of the development and competitiveness of services in a knowledge - based society)

    OpenAIRE

    Maria Ioncicã; Eva-Cristina Petrescu; Diana Ioncicã; Mihaela Drãghici

    2007-01-01

    The present study deals with methods and indices used to assess the degree of development and competitiveness in the services sector in the modern economy (a knowledge-based society). Methods and indices that evaluate the development and competitiveness of services are presented in the context of new ideas referring to the contents and features of the modern economy, defined by specialists as an economy (and society) with the following characteristics: knowledge-based, new economy, services e...

  15. Exploratory Research On Students` Opinions Regarding The Features Of The Educational Process In A Knowledge-Based Economy

    OpenAIRE

    Sorin-George Toma

    2011-01-01

    Knowledge has always been central to social and human life. In the past decades, new forms of knowledge and technologies have emerged constantly in the knowledge-based economy, a new stage of the capitalist economic system. The aims of our paper are to render in brief the theoretical approaches related to the knowledge-based economy and to highlight the results of an exploratory research regarding students’ opinions on the main features of the educational process of a Marketing academic speci...

  16. Towards a sharable numeric and symbolic knowledge base on cerebral cortex anatomy: lessons learned from a prototype.

    Science.gov (United States)

    Dameron, Olivier; Gibaud, Bernard; Burgun, Anita; Morandi, Xavier

    2002-01-01

    We propose a knowledge base that combines numeric and symbolic knowledge about sulco-gyral brain cortex. This knowledge base is implemented using Web technologies. It is intended to be easily reusable in various application contexts such as teaching, decision support in neurosurgery and sharing of neuroimaging data for research purposes. Our analysis shows that (1) a formal representation of taxonomy and mereotopology, and (2) use of identity criteria to represent symbolic concepts, are needed to serve those applications. PMID:12463812

  17. Towards a sharable numeric and symbolic knowledge base on cerebral cortex anatomy: lessons learned from a prototype.

    OpenAIRE

    Dameron, Olivier; Gibaud, Bernard; Burgun, Anita; Morandi, Xavier

    2002-01-01

    We propose a knowledge base that combines numeric and symbolic knowledge about sulco-gyral brain cortex. This knowledge base is implemented using Web technologies. It is intended to be easily reusable in various application contexts such as teaching, decision support in neurosurgery and sharing of neuroimaging data for research purposes. Our analysis shows that (1) a formal representation of taxonomy and mereotopology, and (2) use of identity criteria to represent symbolic concepts, are neede...

  18. Knowledge-based Economy, an Appropriate Response to Organizational Change Pressures, with a View to Sustainable Development

    OpenAIRE

    Cristina Mihaela Lazar; Ramona Nicoleta Bunda

    2012-01-01

    The sustainable development of organizations within knowledge-based economy, in which knowledge represents the main priority, should focus on finding solutions for the intelligent management of the limited resources, especially through organizational change and its constant assessment as a long-term impact solution. The transition of organizations to the principles of knowledge-based economy involves a major change in organizational culture. The dynamism and complexity of the n...

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

    OpenAIRE

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

    2015-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Theo Papaioannou

    2010-09-01

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

  1. A simple knowledge-based mining method for exploring hidden key molecules in a human biomolecular network

    Directory of Open Access Journals (Sweden)

    Tsuji Shingo

    2012-09-01

    Full Text Available Abstract Background In the functional genomics analysis domain, various methodologies are available for interpreting the results produced by high-throughput biological experiments. These methods commonly use a list of genes as an analysis input, and most of them produce a more complicated list of genes or pathways as the results of the analysis. Although there are several network-based methods, which detect key nodes in the network, the results tend to include well-studied, major hub genes. Results To mine the molecules that have biological meaning but to fewer degrees than major hubs, we propose, in this study, a new network-based method for selecting these hidden key molecules based on virtual information flows circulating among the input list of genes. The human biomolecular network was constructed from the Pathway Commons database, and a calculation method based on betweenness centrality was newly developed. We validated the method with the ErbB pathway and applied it to practical cancer research data. We were able to confirm that the output genes, despite having fewer edges than major hubs, have biological meanings that were able to be invoked by the input list of genes. Conclusions The developed method, named NetHiKe (Network-based Hidden Key molecule miner, was able to detect potential key molecules by utilizing the human biomolecular network as a knowledge base. Thus, it is hoped that this method will enhance the progress of biological data analysis in the whole-genome research era.

  2. Knowledge-base for interpretation of cerebrospinal fluid data patterns. Essentials in neurology and psychiatry.

    Science.gov (United States)

    Reiber, Hansotto

    2016-06-01

    The physiological and biophysical knowledge base for interpretations of cerebrospinal fluid (CSF) data and reference ranges are essential for the clinical pathologist and neurochemist. With the popular description of the CSF flow dependent barrier function, the dynamics and concentration gradients of blood-derived, brain-derived and leptomeningeal proteins in CSF or the specificity-independent functions of B-lymphocytes in brain also the neurologist, psychiatrist, neurosurgeon as well as the neuropharmacologist may find essentials for diagnosis, research or development of therapies. This review may help to replace the outdated ideas like "leakage" models of the barriers, linear immunoglobulin Index Interpretations or CSF electrophoresis. Calculations, Interpretations and analytical pitfalls are described for albumin quotients, quantitation of immunoglobulin synthesis in Reibergrams, oligoclonal IgG, IgM analysis, the polyspecific ( MRZ- ) antibody reaction, the statistical treatment of CSF data and general quality assessment in the CSF laboratory. The diagnostic relevance is documented in an accompaning review. PMID:27332077

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

    Science.gov (United States)

    Ferdinand, Jason

    The concept of cyber resilience has emerged in recent years in response to the recognition that cyber security is more than just risk management. Cyber resilience is the goal of organisations, institutions and governments across the world and yet the emerging literature is somewhat fragmented due to the lack of a common approach to the subject. This limits the possibility of effective collaboration across public, private and governmental actors in their efforts to build and maintain cyber resilience. In response to this limitation, and to calls for a more strategically focused approach, this paper offers a knowledge-based view of cyber security management that explains how an organisation can build, assess, and maintain cyber resilience. PMID:26642176

  4. Development of a knowledge based system for decision making of protective measures during a radiation emergency

    International Nuclear Information System (INIS)

    Accidents in nuclear installations giving rise to radiological consequences in the off-site areas would call for implementation of counter measures for protection of on-site personnel and members of the public. A suitably designed computer software can be used as a tool to make decision on the appropriate protective measures and its implementation in time during a radiation emergency. Algorithm oriented softwares are inadequate and hence a knowledge based software EMSIMULA has been developed for such purpose. The software is written in an admixture of C++ and visual Foxpro (Ver 5.0) under Window-95. Unlike other available expert systems, it is not based on commercial shells. Instead it has a custom designed knowledge engineering architecture which is user-friendly to a high degree. The software is verified and validated by implementing it during a mock emergency exercise at Tarapur and by conducting 'desktop exercise' in training program on emergency preparedness. (author)

  5. A Low-Order Knowledge-Based Algorithm (LOKBA to Solve Binary Integer Programming Problems

    Directory of Open Access Journals (Sweden)

    S. H. Pakzad-Moghadam

    2012-01-01

    Full Text Available In this paper a novel and very fast low order knowledge-based algorithm (called LOKBA is presented to solve binary integer programming (BIP problems. The factors in the objective function and the constraints of any BIP problem contains specific knowledge and information that can be used to better search the solution space of the problem. In this work many new definitions are introduced to elaborate on this information and extract necessary knowledge for creating and improving solutions. Found solutions are improved further and further until there is no new knowledge that can be extracted and there are no more possible improvements. The proposed algorithm has many major credentials. It produces promising results within amazingly short run times even for very large problems such as problems with one million variables. Also, it is extendable to solve integer programming and binary quadratic programming problems. Furthermore, it can be combined with heuristic or meta heuristic algorithms.

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

    DEFF Research Database (Denmark)

    Vidal, Rene Victor Valqui; Thorsen, M.

    1990-01-01

    This paper briefly describes a knowledge-based computer system implemented at the Registry of Companies (E and S), Ministry of Industries in Denmark. The system helps E and S, on receipt of a request for registration of a new or changed company name, to check the name for acceptability. The check...... asks if: it contains non-permissible elements, such as family names; it has a phonetic resemblance with a company name already registered; or it is identical in meaning with an already registered name. Until recently, E and S had a very capable expert to perform this task. The expert had been working...... in this field for more than 30 years and had a unique knowledge in the domain. The paper describes the problem of transferring human knowledge into a computerised system and it presents the structure of the final system. In addition, the paper outlines the experiences gained from developing the system...

  7. Expert Knowledge-Based Automatic Sleep Stage Determination by Multi-Valued Decision Making Method

    Science.gov (United States)

    Wang, Bei; Sugi, Takenao; Kawana, Fusae; Wang, Xingyu; Nakamura, Masatoshi

    In this study, an expert knowledge-based automatic sleep stage determination system working on a multi-valued decision making method is developed. Visual inspection by a qualified clinician is adopted to obtain the expert knowledge database. The expert knowledge database consists of probability density functions of parameters for various sleep stages. Sleep stages are determined automatically according to the conditional probability. Totally, four subjects were participated. The automatic sleep stage determination results showed close agreements with the visual inspection on sleep stages of awake, REM (rapid eye movement), light sleep and deep sleep. The constructed expert knowledge database reflects the distributions of characteristic parameters which can be adaptive to variable sleep data in hospitals. The developed automatic determination technique based on expert knowledge of visual inspection can be an assistant tool enabling further inspection of sleep disorder cases for clinical practice.

  8. Building the Knowledge Base to Support the Automatic Animation Generation of Chinese Traditional Architecture

    Science.gov (United States)

    Wei, Gongjin; Bai, Weijing; Yin, Meifang; Zhang, Songmao

    We present a practice of applying the Semantic Web technologies in the domain of Chinese traditional architecture. A knowledge base consisting of one ontology and four rule bases is built to support the automatic generation of animations that demonstrate the construction of various Chinese timber structures based on the user's input. Different Semantic Web formalisms are used, e.g., OWL DL, SWRL and Jess, to capture the domain knowledge, including the wooden components needed for a given building, construction sequence, and the 3D size and position of every piece of wood. Our experience in exploiting the current Semantic Web technologies in real-world application systems indicates their prominent advantages (such as the reasoning facilities and modeling tools) as well as the limitations (such as low efficiency).

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

    Science.gov (United States)

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

    2015-01-01

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

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

    Science.gov (United States)

    Weichselbraun, A; Gindl, S; Scharl, A

    2014-10-01

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

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

    Science.gov (United States)

    Ferdinand, Jason

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

  12. A Knowledge-Based Service Composition Algorithm with Better QoS in Semantic Overlay

    Directory of Open Access Journals (Sweden)

    Huijun Dai

    2015-01-01

    Full Text Available A semantic overlay network (SON is a visual framework clustered under similar metaknowledge units such as ontologies, algorithms, and rule engines. Knowledge-based service composition (KC has become a prominent aspect of building new and creative composed service through a combination of semantically similar information at the knowledge level. In this study, a promising approach to construct a standard knowledge model is developed to utilize the progress of KC. To evaluate and optimize the composition, we define the quantity of service (QoS regarding user requirements in the KC instance, and a KC instance path with better QoS is found in the model using the KC algorithm. Simulation results prove that our approach has a tradeoff between efficiency and equality.

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

    Directory of Open Access Journals (Sweden)

    Angela BRETCU

    2016-02-01

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

  14. Integrating design and production planning with knowledge-based inspection planning system

    International Nuclear Information System (INIS)

    In this paper an intelligent environment to integrate design and inspection earlier to the design stage. A hybrid knowledge-based approach integrating computer-aided design (CAD) and computer-aided inspection planning (CAIP) was developed, thereafter called computer-aided design and inspection planning (CADIP). CADIP was adopted for automated dimensional inspection planning. Critical functional features were screened based on certain attributes for part features for inspection planning application. Testing the model resulted in minimizing the number of probing vectors associated with the most important features in the inspected prismatic part, significant reduction in inspection costs and release of human labor. In totality, this tends to increase customer satisfaction as a final goal of the developed system. (author)

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

    Science.gov (United States)

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

    2012-01-01

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

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

    Science.gov (United States)

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

    2013-08-01

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

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

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Muhammad Baqar Raza

    2011-09-01

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

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

    Science.gov (United States)

    Yen, John

    1991-01-01

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

  20. 3D Modelling of CMMs Probing Accuracy and Settings using Fuzzy Knowledge Bases

    DEFF Research Database (Denmark)

    Achiche, Sofiane; Wozniack, Adam

    2011-01-01

    to the number of physical setups needed to get satisfactory error profiles, while the fuzzy rules base adds to the knowledge linking the design experiment parameters to the pre-travel error of CMM machines. Satisfactory fuzzy logic equivalents of the 3D error profiles were obtained for both TP6 and TP200......One of the fundamental elements that determines the precision of Coordinate Measuring Machines (CMMs) is the probe, which locates measuring points within measurement volume. In this paper genetically generated fuzzy knowledge based models of 3D probing accuracy for one and two stage touch trigger...... probes are proposed. The fuzzy models are automatically generated using a dedicated genetic algorithm developed by the authors. The algorithm uses hybrid coding, binary for the rule base and real for the data base. This hybrid coding, used with a set of specialized operators of reproduction, proved...

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

    DEFF Research Database (Denmark)

    Holm, Anders; Wang, Camilla; Kousholt, Dorte;

    +program, the Danish Clearinghouse of Education has made a research review of effective intervention programs that include parental involvement (see Appendix I). A range of materials and tools have thus been developed for the VIDA educational program, including guidelines for working with children’s learning and well...... for case studies are collected through staff surveys (N=235), interviews and follow-up observation studies with a view to learning how the centers are progressing. Statistical methods used in the analyses of the effects of the ASP program will be used to analyze the VIDA data, fi rstly a nonparametric...... intervention program Knowledge-based efforts for socially disadvantaged children in daycare – a model program presented in this report, aims at improving all children’s well-being and cognitive functioning, and specifi cally improving the situation for socially disadvantaged children through inclusive efforts...

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

    Energy Technology Data Exchange (ETDEWEB)

    Malony, Allen D; Shende, Sameer

    2011-08-15

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

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

    Science.gov (United States)

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

    2014-07-01

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

  4. The WONP-NURT corpus as nuclear knowledge base for text mining in the INIS database

    International Nuclear Information System (INIS)

    In the present work the WONP-NURT corpus is taken as knowledge base for text mining in the INIS database. Main components of the information processing system, as well as computational methods for content analysis of INIS database record files are described. Results of the content analysis of the WONP-NURT corpus are reported. Furthermore, results of two comparative text mining studies in the INIS database are also shown. The first one explores 10 research areas in the more familiar nearest range of WONP-NURT corpus, while the second one surveys 15 regions in the more exotic far range. The results provide new elements to asses the significance of the WONP-NURT corpus in the context of the current state of nuclear science and technology research areas. (Author)

  5. On knowledge-based military health service%论知识型卫勤

    Institute of Scientific and Technical Information of China (English)

    雷二庆; 吴乐山; 陈文亮

    2011-01-01

    知识是一个内涵丰富、外延广泛、不断发展着的概念.知识资源在社会发展中已开始占据基础性地位,知识创新正在成为引领军事变革、经济发展、社会进步的主要动因.现代卫勤本质上是知识型卫勤,我军应以知识创新引领卫勤转型.%Knowledge is a developing concept. Knowledge resource is becoming a basic resource in social development. Knowledge innovation is becoming the main power behind military revolution, economic development and social progress.The essence of modern military health service is knowledge-based military health service. Knowledge innovation should play a leading role in Chinese PLA's military health service transformation.

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

    Institute of Scientific and Technical Information of China (English)

    周炳海; 奚立峰; 蔡建国

    2004-01-01

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

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

    Science.gov (United States)

    Weichselbraun, A; Gindl, S; Scharl, A

    2014-10-01

    This paper presents a novel method for contextualizing and enriching large semantic knowledge bases for opinion mining with a focus on Web intelligence platforms and other high-throughput big data applications. The method is not only applicable to traditional sentiment lexicons, but also to more comprehensive, multi-dimensional affective resources such as SenticNet. It comprises the following steps: (i) identify ambiguous sentiment terms, (ii) provide context information extracted from a domain-specific training corpus, and (iii) ground this contextual information to structured background knowledge sources such as ConceptNet and WordNet. A quantitative evaluation shows a significant improvement when using an enriched version of SenticNet for polarity classification. Crowdsourced gold standard data in conjunction with a qualitative evaluation sheds light on the strengths and weaknesses of the concept grounding, and on the quality of the enrichment process. PMID:25431524

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

    CERN Document Server

    Wollbold, Johannes; Ganter, Bernhard

    2008-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Pineda B. Clelia

    2002-08-01

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

  10. Fast QRS detection with an optimized knowledge-based method: evaluation on 11 standard ECG databases.

    Directory of Open Access Journals (Sweden)

    Mohamed Elgendi

    Full Text Available The current state-of-the-art in automatic QRS detection methods show high robustness and almost negligible error rates. In return, the methods are usually based on machine-learning approaches that require sufficient computational resources. However, simple-fast methods can also achieve high detection rates. There is a need to develop numerically efficient algorithms to accommodate the new trend towards battery-driven ECG devices and to analyze long-term recorded signals in a time-efficient manner. A typical QRS detection method has been reduced to a basic approach consisting of two moving averages that are calibrated by a knowledge base using only two parameters. In contrast to high-accuracy methods, the proposed method can be easily implemented in a digital filter design.

  11. A Knowledge-based System for Berth Allocation in a Container Terminal

    Directory of Open Access Journals (Sweden)

    Junliang He

    2013-05-01

    Full Text Available Both of berth allocation and quay crane assignment are one of the most complex parts in container terminal operations, which significantly affect the operational efficiency, energy consumption and operational cost of the entire container terminal. Therefore, it is necessary to develop an efficient strategy for integrated berth allocation and quay crane assignment (BACP from the perspective of knowledge, which aims at energy-saving and improving operational efficiency. In this paper, knowledge acquisition for BACP is initially conducted. And then, knowledge sorting process for BACP, including taxonomic tree generation and organization of acquired knowledge, is performed. After that, rules for BACP are extracted using the IF and THEN clause. Furthermore, a knowledge reasoning mechanism is designed. Finally, numerical experiments are used to illustrate the proposed knowledge-based system and verify the effectiveness and reliability.

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

    Institute of Scientific and Technical Information of China (English)

    崔进举; 王德禹; 史琪琪

    2015-01-01

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

  13. Research and development on plant inspection presentation system cooperative with mobile robots and maintenance knowledge base

    International Nuclear Information System (INIS)

    In order to upgrade safety and reliability of nuclear power plants it is very important to develop a system of early detection of anomalies and realize adequate inspections responding to them. Based on accumulated basic technologies of cooperative active sensing systems for autonomous inspection mobile robots having active visual sensing and acoustic sensors with movable lighting and intelligent multimodal systems, 3D data processing visualization transmission technologies have been incorporated for compact storage of time and space dependent enormous inspection knowledge base. Surrounding server, simulating plant's environments with mobile robots and mockup systems, has been prepared and tested to realize this concept. Long-term operation of the server will be needed to accumulate inspection database and their efficient utilization. (T. Tanaka)

  14. Augmentation of Explicit Spatial Configurations by Knowledge-Based Inference on Geometric Fields

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    Dan Tappan

    2009-04-01

    Full Text Available A spatial configuration of a rudimentary, static, realworld scene with known objects (animals and properties (positions and orientations contains a wealth of syntactic and semantic spatial information that can contribute to a computational understanding far beyond what its quantitative details alone convey. This work presents an approach that (1 quantitatively represents what a configuration explicitly states, (2 integrates this information with implicit, commonsense background knowledge of its objects and properties, (3 infers additional, contextually appropriate, commonsense spatial information from and about their interrelationships, and (4 augments the original representation with this combined information. A semantic network represents explicit, quantitative information in a configuration. An inheritance-based knowledge base of relevant concepts supplies implicit, qualitative background knowledge to support semantic interpretation. Together, these structures provide a simple, nondeductive, constraint-based, geometric logical formalism to infer substantial implicit knowledge for intrinsic and deictic frames of spatial reference.

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

    Directory of Open Access Journals (Sweden)

    Yashar Salamzadeh

    2014-05-01

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

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

    Directory of Open Access Journals (Sweden)

    Putu Manik Prihatini

    2012-07-01

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

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

    Science.gov (United States)

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

    2015-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Michał Araszkiewicz

    2015-01-01

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

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

    Science.gov (United States)

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

    2007-12-01

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

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

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    Paula Andrea RODRÍGUEZ MARÍN

    2015-12-01

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