WorldWideScience

Sample records for nonmonotonic knowledge bases

  1. Modeling argumentation based semantics using non-monotonic reasoning

    OpenAIRE

    2005-01-01

    Argumentation theory is an alternative style of formalizing non-monotonic reasoning. It seems, argumentation theory is a suitable framework for practical and uncertain reasoning, where arguments support conclusions. Dung's approach is an unifying framework which has played an influential role on argumentation research and Artificial Intelligence. Even though the success of the argumentation theory, it seems that argumentation theory is so far from being efficiently implemented like the logic ...

  2. A modal nonmonotonic logic

    Institute of Scientific and Technical Information of China (English)

    林作铨

    1996-01-01

    A modal nonmonotonic logic is presented based on an experiential modal semantics on typicality and exception.The syntactic and semantics of modal nonmonotonic logic are provided,and the completeness theorem and the theorems relating it to major nonmonotonic logics are proved.It directly formalizes the intuition of nonmonotonic reasoning.Among other things,it provides us a first-order extension of default logic and autoepistemic logic,and simultaneously has the capability of circumscription to infer universal statement.It has important applications in logic programming and deductive data base.As a result,it provides a uniform basis for various nonmonotonic logics,from which the correspondent relationship among major nonmonotonic logics can coincide.

  3. Global stability and attractivity of a network-based SIS epidemic model with nonmonotone incidence rate

    Science.gov (United States)

    Wei, Xiaodan; Liu, Lijun; Zhou, Wenshu

    2017-03-01

    In this paper, we study the global stability and attractivity of the endemic equilibrium for a network-based SIS epidemic model with nonmonotone incidence rate. The model was introduced in Li (2015). We prove that the endemic equilibrium is globally asymptotically stable if α (a parameter of this model) is sufficiently large, and is globally attractive if the transmission rate λ satisfies λ/λc ∈(1 , 2 ] , where λc is the epidemic threshold. Some numerical experiments are also presented to illustrate the theoretical results.

  4. 法律知识的因果表达和非单调推理模型%Causal Knowledge Representation and Nonmonotonic Reasoning Models in Law Consultant Systems

    Institute of Scientific and Technical Information of China (English)

    干红华; 潘云鹤

    2001-01-01

    Causal reasoning is the most important feature in law consultant systems. This paper analy-ses the structure of law clauses,proposes a representation model for law knowledge in terms of causal relationships and nonmonotonic reasoning models based on it. These models are successfully applied in the implementation of NBU-CALA+ ,a law expert consultant system for case analysis and interpreta-tion.

  5. Argumentation-Based Non-Monotonic Reasoning of Agents%基于论辩的Agent非单调推理

    Institute of Scientific and Technical Information of China (English)

    廖备水; 代建华

    2012-01-01

    现有的Agent信念修正、慎思、手段-目的推理等理论和方法大多基于经典一阶逻辑,对不完全的、不一致的知识,缺乏有效的处理机制.基于论辩的Agent非单调推理(包括认识推理和实践推理)理论和方法有望弥补这个不足.不过,作为一个新的研究方向,其基本概念、理论、方法及存在的关键性问题尚有待于澄清和梳理.文中首先介绍论辩的基本概念.在此基础上,分析基于论辩的Agent非单调推理的最新研究进展.最后,讨论存在的关键性问题并指出可能的研究方向.%Most of existing theories and methods for belief revision, deliberation, means-ends reasoning etc. are based on classical first order logic, and therefore effective mechanisms are absent in handling incomplete and inconsistent knowledge. Argumentation-based non-monotonic reasoning, including epistemic reasoning and practical reasoning, has become a promising theory to solve the above-mentioned problem. However, as an emerging research area, the basic notions, theories, methods, as well as the existing research problems, are still unclear. In this paper, after presenting the basic notions of argumentation, the recent development of argumentation-based non-monotonic reasoning of agents is analyzed. Finally, some challenging problems are discussed, and the possible future work is pointed out.

  6. Condition-based inspection/replacement policies for non-monotone deteriorating systems with environmental covariates

    Energy Technology Data Exchange (ETDEWEB)

    Zhao Xuejing [Universite de Technologie de Troyes, Institut Charles Delaunay and STMR UMR CNRS 6279, 12 rue Marie Curie, 10010 Troyes (France); School of mathematics and statistics, Lanzhou University, Lanzhou 730000 (China); Fouladirad, Mitra, E-mail: mitra.fouladirad@utt.f [Universite de Technologie de Troyes, Institut Charles Delaunay and STMR UMR CNRS 6279, 12 rue Marie Curie, 10010 Troyes (France); Berenguer, Christophe [Universite de Technologie de Troyes, Institut Charles Delaunay and STMR UMR CNRS 6279, 12 rue Marie Curie, 10010 Troyes (France); Bordes, Laurent [Universite de Pau et des Pays de l' Adour, LMA UMR CNRS 5142, 64013 PAU Cedex (France)

    2010-08-15

    The aim of this paper is to discuss the problem of modelling and optimising condition-based maintenance policies for a deteriorating system in presence of covariates. The deterioration is modelled by a non-monotone stochastic process. The covariates process is assumed to be a time-homogenous Markov chain with finite state space. A model similar to the proportional hazards model is used to show the influence of covariates on the deterioration. In the framework of the system under consideration, an appropriate inspection/replacement policy which minimises the expected average maintenance cost is derived. The average cost under different conditions of covariates and different maintenance policies is analysed through simulation experiments to compare the policies performances.

  7. Complexity of Non-Monotonic Logics

    CERN Document Server

    Thomas, Michael

    2010-01-01

    Over the past few decades, non-monotonic reasoning has developed to be one of the most important topics in computational logic and artificial intelligence. Different ways to introduce non-monotonic aspects to classical logic have been considered, e.g., extension with default rules, extension with modal belief operators, or modification of the semantics. In this survey we consider a logical formalism from each of the above possibilities, namely Reiter's default logic, Moore's autoepistemic logic and McCarthy's circumscription. Additionally, we consider abduction, where one is not interested in inferences from a given knowledge base but in computing possible explanations for an observation with respect to a given knowledge base. Complexity results for different reasoning tasks for propositional variants of these logics have been studied already in the nineties. In recent years, however, a renewed interest in complexity issues can be observed. One current focal approach is to consider parameterized problems and ...

  8. Aspects and modular reasoning in nonmonotonic logic

    DEFF Research Database (Denmark)

    Ostermann, Klaus

    2008-01-01

    Nonmonotonic logic is a branch of logic that has been developed to model situations with incomplete information. We argue that there is a connection between AOP and nonmonotonic logic which deserves further study. As a concrete technical contribution and "appetizer", we outline an AO semantics de...... defined in default logic (a form of nonmonotonic logic), propose a definition of modular reasoning, and show that the default logic version of the language semantics admits modular reasoning whereas a conventional language semantics based on weaving does not....

  9. Knowledge Based Strategies for Knowledge Based Organizations

    National Research Council Canada - National Science Library

    Madalina Cristina Tocan

    2012-01-01

    In the present, we can observe that a new economy is arising. It is an economy based on knowledge and ideas, in which the key factor for prosperity and for creation of the new jobs is the knowledge capitalization...

  10. Knowledge Based Strategies for Knowledge Based Organizations

    OpenAIRE

    2012-01-01

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

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

    CERN Document Server

    Slota, Martin; Swift, Terrance

    2011-01-01

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

  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. 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.

  14. One knowledge base or many knowledge pools?

    DEFF Research Database (Denmark)

    Lundvall, Bengt-Åke

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

  15. 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.)

  16. Knowledge-Based Abstracting.

    Science.gov (United States)

    Black, William J.

    1990-01-01

    Discussion of automatic abstracting of technical papers focuses on a knowledge-based method that uses two sets of rules. Topics discussed include anaphora; text structure and discourse; abstracting techniques, including the keyword method and the indicator phrase method; and tools for text skimming. (27 references) (LRW)

  17. One knowledge base or many knowledge pools?

    DEFF Research Database (Denmark)

    Lundvall, Bengt-Åke

    /global, individual/collective and tacit/codified knowledge. The purpose is both ‘academic' and practical. Our analysis demonstrates the limits of a narrowly economic perspective on knowledge and we show that these distinctions have important implications both for innovation policy and for management of innovation.......It is increasingly realized that knowledge is the most important resource and that learning is the most important process in the economy. Sometimes this is expressed by coining the current era as characterised by a ‘knowledge based economy'. But this concept might be misleading by indicating...

  18. 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.

  19. Nonmonotonic diffusion in crowded environments

    Science.gov (United States)

    Putzel, Gregory Garbès; Tagliazucchi, Mario; Szleifer, Igal

    2015-01-01

    We study the diffusive motion of particles among fixed spherical crowders. The diffusers interact with the crowders through a combination of a hard-core repulsion and a short-range attraction. The long-time effective diffusion coefficient of the diffusers is found to depend non-monotonically on the strength of their attraction to the crowders. That is, for a given concentration of crowders, a weak attraction to the crowders enhances diffusion. We show that this counterintuitive fact can be understood in terms of the mesoscopic excess chemical potential landscape experienced by the diffuser. The roughness of this excess chemical potential landscape quantitatively captures the nonmonotonic dependence of the diffusion rate on the strength of crowder-diffuser attraction; thus it is a purely static predictor of dynamic behavior. The mesoscopic view given here provides a unified explanation for enhanced diffusion effects that have been found in various systems of technological and biological interest. PMID:25302920

  20. 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

  1. The knowledge base of journalism

    DEFF Research Database (Denmark)

    Svith, Flemming

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

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

    Science.gov (United States)

    Riedesel, Joel D.

    1990-01-01

    Artificial intelligence application requirements demand powerful representation capabilities as well as efficiency for real-time domains. Many tools exist, the most prevalent being expert systems tools such as ART, KEE, OPS5, and CLIPS. Other tools just emerging from the research environment are truth maintenance systems for representing non-monotonic knowledge, constraint systems, object oriented programming, and qualitative reasoning. Unfortunately, as many knowledge engineers have experienced, simply applying a tool to an application requires a large amount of effort to bend the application to fit. Much work goes into supporting work to make the tool integrate effectively. A Knowledge Management Design System (KNOMAD), is described which is a collection of tools built in layers. The layered architecture provides two major benefits; the ability to flexibly apply only those tools that are necessary for an application, and the ability to keep overhead, and thus inefficiency, to a minimum. KNOMAD is designed to manage many knowledge bases in a distributed environment providing maximum flexibility and expressivity to the knowledge engineer while also providing support for efficiency.

  3. 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.

  4. Exchanging Description Logic Knowledge Bases

    NARCIS (Netherlands)

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

    2012-01-01

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

  5. The Knowledge Based Information Economy

    OpenAIRE

    1990-01-01

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

  6. Knowledge Society, General Framework for Knowledge Based Economy

    OpenAIRE

    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 ...

  7. 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.

  8. 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.

  9. 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.

  10. Reusing Design Knowledge Based on Design Cases and Knowledge Map

    Science.gov (United States)

    Yang, Cheng; Liu, Zheng; Wang, Haobai; Shen, Jiaoqi

    2013-01-01

    Design knowledge was reused for innovative design work to support designers with product design knowledge and help designers who lack rich experiences to improve their design capacity and efficiency. First, based on the ontological model of product design knowledge constructed by taxonomy, implicit and explicit knowledge was extracted from some…

  11. Knowledge Acquisition Using Linguistic-Based Knowledge Analysis

    Science.gov (United States)

    Daniel L. Schmoldt

    1998-01-01

    Most knowledge-based system developmentefforts include acquiring knowledge from one or more sources. difficulties associated with this knowledge acquisition task are readily acknowledged by most researchers. While a variety of knowledge acquisition methods have been reported, little has been done to organize those different methods and to suggest how to apply them...

  12. 基于投影数据非单调性全变分恢复的低剂量CT重建%Nonmonotone Total Variation Minimization Based Projection Restoration for Low-Dose CT Reconstruction

    Institute of Scientific and Technical Information of China (English)

    钱姗姗; 黄静; 马建华; 张华; 刘楠; 张喜乐; 冯前进; 陈武凡

    2011-01-01

    为获取低剂量CT图像的优质重建,本文提出一种基于投影数据非单调性全变分恢复的低剂量CT重建方法.新方法首先通过非线性Anscombe变换将满足Poisson分布的投影数据转化为近似Gaussian分布,其后对变换后的Gaussian型数据进行非单调性全变分最小化算法(Nonmonotone Total Variation Minimization,NTVM)滤波,最后对Anscombe逆变换数据实现传统的滤波反投影(Filtered Back Projection,FBP) CT重建.仿真和临床低剂量CT重建实验表明,本文方法在噪声清除、伪影抑制和缩短重建时间等方面均有上佳表现.%In order to improve the reconstruction quality of low-dose CT image,a new approach is proposed based on low-dose CT projection restoration in this paper. First, projection data is transformed from Poisson distribution to Gaussian distribution using nonlinear Anscombe transform. Then, the Anscombe transformed data is filtered by an efficient nonmonotone total variation minimization denoising algorithm. Last, the reconstruction is achieved by inverse Anscombe transform and filtered back projection (FBP) method. Simulated and clinical low-dose CT data experimental results demonstrate that a high-quality CT image can be reconstructed.

  13. Quantitative non-monotonic modeling of economic uncertainty by probability and possibility distributions

    DEFF Research Database (Denmark)

    Schjær-Jacobsen, Hans

    2012-01-01

    to the understanding of similarities and differences of the two approaches as well as practical applications. The probability approach offers a good framework for representation of randomness and variability. Once the probability distributions of uncertain parameters and their correlations are known the resulting...... uncertainty can be calculated. The possibility approach is particular well suited for representation of uncertainty of a non-statistical nature due to lack of knowledge and requires less information than the probability approach. Based on the kind of uncertainty and knowledge present, these aspects...... by probability distributions is readily done by means of Monte Carlo simulation. Calculation of non-monotonic functions of possibility distributions is done within the theoretical framework of fuzzy intervals, but straight forward application of fuzzy arithmetic in general results in overestimation of interval...

  14. 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)

  15. Epistemology of knowledge based simulation

    Energy Technology Data Exchange (ETDEWEB)

    Reddy, R.

    1987-04-01

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

  16. 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.

  17. Causation, explanation and nonmonotonic temporal reasoning

    NARCIS (Netherlands)

    Grünwald, P.D.

    1997-01-01

    We introduce a new approach to reasoning about action and change using nonmonotonic logic. The approach is arrived at by applying Pearl's theory of causal networks to logical formalizations of temporal reasoning domains. It handles complicated reasoning domains involving concurrent actions, actions

  18. 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.

  19. Semantic Matchmaking as Non-Monotonic Reasoning: A Description Logic Approach

    CERN Document Server

    Di Noia, T; Donini, F M; 10.1613/jair.2153

    2011-01-01

    Matchmaking arises when supply and demand meet in an electronic marketplace, or when agents search for a web service to perform some task, or even when recruiting agencies match curricula and job profiles. In such open environments, the objective of a matchmaking process is to discover best available offers to a given request. We address the problem of matchmaking from a knowledge representation perspective, with a formalization based on Description Logics. We devise Concept Abduction and Concept Contraction as non-monotonic inferences in Description Logics suitable for modeling matchmaking in a logical framework, and prove some related complexity results. We also present reasonable algorithms for semantic matchmaking based on the devised inferences, and prove that they obey to some commonsense properties. Finally, we report on the implementation of the proposed matchmaking framework, which has been used both as a mediator in e-marketplaces and for semantic web services discovery.

  20. Nonmonotonic Skeptical Consequence Relation in Constrained Default Logic

    Directory of Open Access Journals (Sweden)

    Mihaiela Lupea

    2010-12-01

    Full Text Available This paper presents a study of the nonmonotonic consequence relation which models the skeptical reasoning formalised by constrained default logic. The nonmonotonic skeptical consequence relation is defined using the sequent calculus axiomatic system. We study the formal properties desirable for a good nonmonotonic relation: supraclassicality, cut, cautious monotony, cumulativity, absorption, distribution. 

  1. The New Economy- Knowledge Based Economy

    OpenAIRE

    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 ...

  2. 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.

  3. LOGISTICS IN KNOWLEDGE BASED ECONOMY

    OpenAIRE

    Stefan NEDELEA

    2013-01-01

    In the context of contemporary economy logistics changes refer to the emergence of new inter-organizational logistics structures such as logistics networks, and to a number of alterations in organizations’ vision and conduct regarding the role and importance of knowledge. The research focuses on identifying the instruments promoting inter-organizational knowledge transfer within logistics networks provided that each organization relies on its own knowledge and organizational skills to ensure ...

  4. LOGISTICS IN KNOWLEDGE BASED ECONOMY

    OpenAIRE

    Stefan NEDELEA

    2013-01-01

    In the context of contemporary economy logistics changes refer to the emergence of new inter-organizational logistics structures such as logistics networks, and to a number of alterations in organizations’ vision and conduct regarding the role and importance of knowledge. The research focuses on identifying the instruments promoting inter-organizational knowledge transfer within logistics networks provided that each organization relies on its own knowledge and organizational skills to ensure ...

  5. More data, less information? Potential for nonmonotonic information growth using GEE.

    Science.gov (United States)

    Shoben, Abigail B; Rudser, Kyle D; Emerson, Scott S

    2017-01-01

    Statistical intuition suggests that increasing the total number of observations available for analysis should increase the precision with which parameters can be estimated. Such monotonic growth of statistical information is of particular importance when data are analyzed sequentially, such as in confirmatory clinical trials. However, monotonic information growth is not always guaranteed, even when using a valid, but inefficient estimator. In this article, we demonstrate the theoretical possibility of nonmonotonic information growth when using generalized estimating equations (GEE) to estimate a slope and provide intuition for why this possibility exists. We use theoretical and simulation-based results to characterize situations that may result in nonmonotonic information growth. Nonmonotonic information growth is most likely to occur when (1) accrual is fast relative to follow-up on each individual, (2) correlation among measurements from the same individual is high, and (3) measurements are becoming more variable further from randomization. In situations that may lead to nonmonotonic information growth, study designers should plan interim analyses to avoid situations most likely to result in nonmonotonic information growth.

  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. A Practical Propositional Knowledge Base Revision Algorithm

    Institute of Scientific and Technical Information of China (English)

    陶雪红; 孙伟; 等

    1997-01-01

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

  8. A CLASS OF NONMONOTONE CONJUGATE GRADIENT METHODS FOR NONCONVEX FUNCTIONS

    Institute of Scientific and Technical Information of China (English)

    LiuYun; WeiZengxin

    2002-01-01

    This paper discusses the global convergence of a class of nonmonotone conjugate gradient methods (NM methods) for nonconvex object functions. This class of methods includes the nonmonotone counterpart of modified Polak-Ribiere method and modified Hestenes-Stiefel method as special cases.

  9. Knowledge construction and knowledge sharing: A Wiki-based approach

    OpenAIRE

    Montero Fleta, Maria Begoña; Pérez Sabater, Carmen

    2011-01-01

    The present research, based on constructivist learning paradigms, describes the outcomes of a project which complies with real life projection into the professional world: a Wiki-based approach is devised to construct knowledge, manage own learning and develop communication and linguistic skills in English. The paper aims to analyze the process and product of students¿ contribution to group work. A qualitative analysis reveals the students¿ positive and negative feedback. The stud...

  10. DKLFRS:A Default Knowledge Logical Framework Representation System

    Institute of Scientific and Technical Information of China (English)

    范仲春; 邢汉承

    1992-01-01

    The traditional resasoning system based on first order predicate logic can't represent and handle default knowledge,This paper presents a logical framework representation approach for default reasoning.Based on Mixed SLDNF-resolution,a nonmonotonic reasoning system has been constructed.

  11. 8th International Workshop on Non-Monotonic Reasoning

    CERN Document Server

    Truszczynski, Mirek

    2000-01-01

    The papers gathered in this collection were presented at the 8th International Workshop on Nonmonotonic Reasoning, NMR2000. The series was started by John McCarthy in 1978. The first international NMR workshop was held at Mohonk Mountain House, New Paltz, New York in June, 1984, and was organized by Ray Reiter and Bonnie Webber. In the last 10 years the area of nonmonotonic reasoning has seen a number of important developments. Significant theoretical advances were made in the understanding of general abstract principles underlying nonmonotonicity. Key results on the expressibility and computational complexity of nonmonotonic logics were established. The role of nonmonotonic reasoning in belief revision, abduction, reasoning about action, planing and uncertainty was further clarified. Several successful NMR systems were built and used in applications such as planning, scheduling, logic programming and constraint satisfaction. The papers in the proceedings reflect these recent advances in the field. They are g...

  12. Computation of non-monotonic Lyapunov functions for continuous-time systems

    Science.gov (United States)

    Li, Huijuan; Liu, AnPing

    2017-09-01

    In this paper, we propose two methods to compute non-monotonic Lyapunov functions for continuous-time systems which are asymptotically stable. The first method is to solve a linear optimization problem on a compact and bounded set. The proposed linear programming based algorithm delivers a CPA1

  13. Integrating Knowledge Bases and Statistics in MT

    CERN Document Server

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

    1994-01-01

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

  14. 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;…

  15. Parallel Variable Distribution Algorithm for Constrained Optimization with Nonmonotone Technique

    Directory of Open Access Journals (Sweden)

    Congying Han

    2013-01-01

    Full Text Available A modified parallel variable distribution (PVD algorithm for solving large-scale constrained optimization problems is developed, which modifies quadratic subproblem QPl at each iteration instead of the QPl0 of the SQP-type PVD algorithm proposed by C. A. Sagastizábal and M. V. Solodov in 2002. The algorithm can circumvent the difficulties associated with the possible inconsistency of QPl0 subproblem of the original SQP method. Moreover, we introduce a nonmonotone technique instead of the penalty function to carry out the line search procedure with more flexibly. Under appropriate conditions, the global convergence of the method is established. In the final part, parallel numerical experiments are implemented on CUDA based on GPU (Graphics Processing unit.

  16. 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.

  17. 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.

  18. Reality based scenarios facilitate knowledge network development.

    Science.gov (United States)

    Manning, J; Broughton, V; McConnell, E A

    1995-03-01

    The challenge in nursing education is to create a learning environment that enables students to learn new knowledge, access previously acquired information from a variety of disciplines, and apply this newly constructed knowledge to the complex and constantly changing world of practice. Faculty at the University of South Australia, School of Nursing, City Campus describe the use of reality based scenarios to acquire domain-specific knowledge and develop well connected associative knowledge networks, both of which facilitate theory based practice and the student's transition to the role of registered nurse.

  19. Refining Automatically Extracted Knowledge Bases Using Crowdsourcing

    Directory of Open Access Journals (Sweden)

    Chunhua Li

    2017-01-01

    Full Text Available Machine-constructed knowledge bases often contain noisy and inaccurate facts. There exists significant work in developing automated algorithms for knowledge base refinement. Automated approaches improve the quality of knowledge bases but are far from perfect. In this paper, we leverage crowdsourcing to improve the quality of automatically extracted knowledge bases. As human labelling is costly, an important research challenge is how we can use limited human resources to maximize the quality improvement for a knowledge base. To address this problem, we first introduce a concept of semantic constraints that can be used to detect potential errors and do inference among candidate facts. Then, based on semantic constraints, we propose rank-based and graph-based algorithms for crowdsourced knowledge refining, which judiciously select the most beneficial candidate facts to conduct crowdsourcing and prune unnecessary questions. Our experiments show that our method improves the quality of knowledge bases significantly and outperforms state-of-the-art automatic methods under a reasonable crowdsourcing cost.

  20. 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.

  1. Current trends on knowledge-based systems

    CERN Document Server

    Valencia-García, Rafael

    2017-01-01

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

  2. 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.

  3. Knowledge-based planning for construction projects

    Energy Technology Data Exchange (ETDEWEB)

    Zozaya-Gorostiza, C.A.

    1988-01-01

    This study investigates the development of knowledge-based computer tools that assist an engineer during the construction planning process. A knowledge-based expert-system architecture which provides means for representing and using project planning knowledge is described. This architecture, called PLANEX, has been used for developing three prototype knowledge-based systems for construction, excavation, and manufacturing project planning. One of these prototypes, called CONSTRUCTION PLANEX, assists in the planning for the excavation and structural erection of concrete and steel buildings. This system uses construction planning knowledge to generate project activity networks, recommend appropriate construction technologies, estimate durations and costs and prepare project schedules. CONSTRUCTION PLANEX has been applied in laboratory simulations in three ways: interactively as an intelligent assistant, independently as an automated planner, and as part of an integrated building design environment. Example applications have ranged from two to twenty stories. The development of the PLANEX architecture and the CONSTRUCTION PLANEX system produced contributions in several research areas.

  4. Community-based knowledge translation: unexplored opportunities

    Directory of Open Access Journals (Sweden)

    Armstrong Rebecca

    2011-06-01

    Full Text Available Abstract Background Knowledge translation is an interactive process of knowledge exchange between health researchers and knowledge users. Given that the health system is broad in scope, it is important to reflect on how definitions and applications of knowledge translation might differ by setting and focus. Community-based organizations and their practitioners share common characteristics related to their setting, the evidence used in this setting, and anticipated outcomes that are not, in our experience, satisfactorily reflected in current knowledge translation approaches, frameworks, or tools. Discussion Community-based organizations face a distinctive set of challenges and concerns related to engaging in the knowledge translation process, suggesting a unique perspective on knowledge translation in these settings. Specifically, community-based organizations tend to value the process of working in collaboration with multi-sector stakeholders in order to achieve an outcome. A feature of such community-based collaborations is the way in which 'evidence' is conceptualized or defined by these partners, which may in turn influence the degree to which generalizable research evidence in particular is relevant and useful when balanced against more contextually-informed knowledge, such as tacit knowledge. Related to the issues of evidence and context is the desire for local information. For knowledge translation researchers, developing processes to assist community-based organizations to adapt research findings to local circumstances may be the most helpful way to advance decision making in this area. A final characteristic shared by community-based organizations is involvement in advocacy activities, a function that has been virtually ignored in traditional knowledge translation approaches. Summary This commentary is intended to stimulate further discussion in the area of community-based knowledge translation. Knowledge translation, and exchange

  5. Fashion CAD Based on Draping Knowledge

    Institute of Scientific and Technical Information of China (English)

    唐明浩; 方小卫

    2001-01-01

    A computer-aided design system, which is base on the knowledge of draping and frame-producer methods, is put forward. All kinds of knowledge applied here are abstracted from fashion design, where a complicate object is divided into several simple parts according to the body parts. And then a mathematical model of the display for real fashion illustration is elucidated.

  6. Tools for the Knowledge-Based Organization

    DEFF Research Database (Denmark)

    Ravn, Ib

    2002-01-01

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

  7. Topic Maps Based Project Knowledge Management

    Institute of Scientific and Technical Information of China (English)

    Wu Xiaofan; Zhou Liang; Zhang Lei; Li Lingzhi; Ding Qiulin

    2006-01-01

    Based on topic maps, a preprocessing scheme using similarity comparision is presented and applied in knowledge management.Topic and occurrence-oriented merging algorithm is also introduced to implement knowledge integration for the sub-system. An Omnigator-supported example from an aeroaustic institute is utilised to validate the preprocessing method and the result indicates it can speed up the research schedule.

  8. 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...

  9. Socially Relevant Knowledge Based Telemedicine

    Science.gov (United States)

    2013-02-01

    cerebral palsy . The research study performed by Chodos et al [1] focuses on...physical exercise (e.g. virtual trainers: TripleBeat, Wii Fit.) With all these advanced abilities, computerized virtual reality based...emergency preparedness videos in virtual classrooms, and also supplements several training exercises to prepare users in case of

  10. DNA Coding Based Knowledge Discovery Algorithm

    Institute of Scientific and Technical Information of China (English)

    LI Ji-yun; GENG Zhao-feng; SHAO Shi-huang

    2002-01-01

    A novel DNA coding based knowledge discovery algorithm was proposed, an example which verified its validity was given. It is proved that this algorithm can discover new simplified rules from the original rule set efficiently.

  11. 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)

  12. 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)

  13. 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.

  14. Loading Arbitrary Knowledge Bases in Matrix Browser

    OpenAIRE

    2009-01-01

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

  15. An Insulating Glass Knowledge Base

    Energy Technology Data Exchange (ETDEWEB)

    Michael L. Doll; Gerald Hendrickson; Gerard Lagos; Russell Pylkki; Chris Christensen; Charlie Cureija

    2005-08-01

    This report will discuss issues relevant to Insulating Glass (IG) durability performance by presenting the observations and developed conclusions in a logical sequential format. This concluding effort discusses Phase II activities and focuses on beginning to quantifying IG durability issues while continuing the approach presented in the Phase I activities (Appendix 1) which discuss a qualitative assessment of durability issues. Phase II developed a focus around two specific IG design classes previously presented in Phase I of this project. The typical box spacer and thermoplastic spacer design including their Failure Modes and Effect Analysis (FMEA) and Fault Tree diagrams were chosen to address two currently used IG design options with varying components and failure modes. The system failures occur due to failures of components or their interfaces. Efforts to begin quantifying the durability issues focused on the development and delivery of an included computer based IG durability simulation program. The focus/effort to deliver the foundation for a comprehensive IG durability simulation tool is necessary to address advancements needed to meet current and future building envelope energy performance goals. This need is based upon the current lack of IG field failure data and the lengthy field observation time necessary for this data collection. Ultimately, the simulation program is intended to be used by designers throughout the current and future industry supply chain. Its use is intended to advance IG durability as expectations grow around energy conservation and with the growth of embedded technologies as required to meet energy needs. In addition the tool has the immediate benefit of providing insight for research and improvement prioritization. Included in the simulation model presentation are elements and/or methods to address IG materials, design, process, quality, induced stress (environmental and other factors), validation, etc. In addition, acquired data

  16. Nonmonotonic Synaptic Excitation and Imbalanced Inhibition Underlying Cortical Intensity Tuning

    OpenAIRE

    Wu, Guangying K.; Li, Pingyang; Tao, Huizhong W.; Zhang, Li I.

    2006-01-01

    Intensity-tuned neurons, characterized by their nonmonotonic response-level function, may play important roles in the encoding of sound intensity-related information. The synaptic mechanisms underlying intensity-tuning remain yet unclear. Here, in vivo whole-cell recordings in rat auditory cortex revealed that intensity-tuned neurons, mostly clustered in a posterior zone, receive imbalanced tone-evoked excitatory and inhibitory synaptic inputs. Excitatory inputs exhibit nonmonotonic intensity...

  17. KNOWLEDGE AND XML BASED CAPP SYSTEM

    Institute of Scientific and Technical Information of China (English)

    ZHANG Shijie; SONG Laigang

    2006-01-01

    In order to enhance the intelligent level of system and improve the interactivity with other systems, a knowledge and XML based computer aided process planning (CAPP) system is implemented. It includes user management, bill of materials(BOM) management, knowledge based process planning, knowledge management and database maintaining sub-systems. This kind of nesting knowledge representation method the system provided can represent complicated arithmetic and logical relationship to deal with process planning tasks. With the representation and manipulation of XML based technological file, the system solves some important problems in web environment such as information interactive efficiency and refreshing of web page. The CAPP system is written in ASP VBScript, JavaScript, Visual C++ languages and Oracle database. At present, the CAPP system is running in Shenyang Machine Tools. The functions of it meet the requirements of enterprise production.

  18. Ontology-based knowledge discovery in pharmacogenomics.

    Science.gov (United States)

    Coulet, Adrien; Smaïl-Tabbone, Malika; Napoli, Amedeo; Devignes, Marie-Dominique

    2011-01-01

    One current challenge in biomedicine is to analyze large amounts of complex biological data for extracting domain knowledge. This work holds on the use of knowledge-based techniques such as knowledge discovery (KD) and knowledge representation (KR) in pharmacogenomics, where knowledge units represent genotype-phenotype relationships in the context of a given treatment. An objective is to design knowledge base (KB, here also mentioned as an ontology) and then to use it in the KD process itself. A method is proposed for dealing with two main tasks: (1) building a KB from heterogeneous data related to genotype, phenotype, and treatment, and (2) applying KD techniques on knowledge assertions for extracting genotype-phenotype relationships. An application was carried out on a clinical trial concerned with the variability of drug response to montelukast treatment. Genotype-genotype and genotype-phenotype associations were retrieved together with new associations, allowing the extension of the initial KB. This experiment shows the potential of KR and KD processes, especially for designing KB, checking KB consistency, and reasoning for problem solving.

  19. Oceanographic ontology-based spatial knowledge query

    Institute of Scientific and Technical Information of China (English)

    2005-01-01

    The construction of oceanographic ontologies is fundamental to the "digital ocean". Therefore, on the basis of introduction of new concept of oceanographic ontology, an oceanographic ontology-based spatial knowledge query (OOBSKQ) method was proposed and developed. Because the method uses a natural language to describe query conditions and the query result is highly integrated knowledge,it can provide users with direct answers while hiding the complicated computation and reasoning processes, and achieves intelligent,automatic oceanographic spatial information query on the level of knowledge and semantics. A case study of resource and environmental application in bay has shown the implementation process of the method and its feasibility and usefulness.

  20. Non-monotonic dependence of Pickering emulsion gel rheology on particle volume fraction.

    Science.gov (United States)

    Kaganyuk, M; Mohraz, A

    2017-03-29

    The microstructure of Pickering emulsion gels features a tenuous network of faceted droplets, bridged together by shared monolayers of particles. In this investigation, we use standard oscillatory rheometry in conjunction with confocal microscopy to gain a more comprehensive understanding of the role particle bridged interfaces have on the rheology of Pickering emulsion gels. The zero-shear elastic modulus of Pickering emulsion gels shows a non-monotonic dependence on particle loading, with three separate regimes of power-law and linear gel strengthening, and subsequent gel weakening. The transition from power-law to linear scaling is found to coincide with a peak in the volume fraction of particles that participate in bridging, which we indirectly calculate using measureable quantities, and the transition to gel weakening is shown to result from a loss in network connectivity at high particle loadings. These observations are explained via a simple representation of how Pickering emulsion gels arise from an initial population of partially-covered droplets. Based on these considerations, we propose a combined variable related to the initial droplet coverage, to be used in reporting and rationalizing the rheology of Pickering emulsion gels. We demonstrate the applicability of this variable with Pickering emulsions prepared at variable fluid ratios and with different-sized colloidal particles. The results of our investigation have important implications for many technological applications that utilize solid stabilized multi-phase emulsions and require a priori knowledge or engineering of their flow characteristics.

  1. Knowledge Based Economy Assessment in Romania

    Directory of Open Access Journals (Sweden)

    Sebastian Ion CEPTUREANU

    2012-06-01

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

  2. 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)

  3. Model-based explanation of plant knowledge

    Energy Technology Data Exchange (ETDEWEB)

    Huuskonen, P.J. [VTT Electronics, Oulu (Finland). Embedded Software

    1997-12-31

    This thesis deals with computer explanation of knowledge related to design and operation of industrial plants. The needs for explanation are motivated through case studies and literature reviews. A general framework for analysing plant explanations is presented. Prototypes demonstrate key mechanisms for implementing parts of the framework. Power plants, steel mills, paper factories, and high energy physics control systems are studied to set requirements for explanation. The main problems are seen to be either lack or abundance of information. Design knowledge in particular is found missing at plants. Support systems and automation should be enhanced with ways to explain plant knowledge to the plant staff. A framework is formulated for analysing explanations of plant knowledge. It consists of three parts: 1. a typology of explanation, organised by the class of knowledge (factual, functional, or strategic) and by the target of explanation (processes, automation, or support systems), 2. an identification of explanation tasks generic for the plant domain, and 3. an identification of essential model types for explanation (structural, behavioural, functional, and teleological). The tasks use the models to create the explanations of the given classes. Key mechanisms are discussed to implement the generic explanation tasks. Knowledge representations based on objects and their relations form a vocabulary to model and present plant knowledge. A particular class of models, means-end models, are used to explain plant knowledge. Explanations are generated through searches in the models. Hypertext is adopted to communicate explanations over dialogue based on context. The results are demonstrated in prototypes. The VICE prototype explains the reasoning of an expert system for diagnosis of rotating machines at power plants. The Justifier prototype explains design knowledge obtained from an object-oriented plant design tool. Enhanced access mechanisms into on-line documentation are

  4. KNOWLEDGE MANAGEMENT TOOLS FOR THE EUROPEAN KNOWLEDGE BASED SOCIETY

    Directory of Open Access Journals (Sweden)

    Ramona – Diana Leon

    2011-12-01

    Full Text Available Increasingly more literature mention that in the current competitive environment, knowledge have become the main source of the competitive advantages, while recent researches regarding economic growth and development have defined knowledge as being the most critical resource of the emerging countries.Therefore, the organizations interest for knowledge has increased, the latter being defined as knowledge management process in order to meet existing needs, to identify and exploit existing and/or acquired knowledge and developing new opportunities.In other words, knowledge management facilitates productive information usage, intelligence growth, storing intellectual capital, strategic planning, flexible acquisition, collection of best practices, increasing the likelihood of being successful as well as a more productive collaboration within the company.In order to benefit from all these advantages, it is required the usage of specific tools including models and systems to stimulate the creation, dissemination and use of knowledge held by each employee and the organization as a whole.

  5. Knowledge formations in Problem Based Learning

    DEFF Research Database (Denmark)

    Larsen, Verner

    2013-01-01

    The paper presents some of the results from a recent completed Ph.D. program about disciplinarity and inter-disciplinarity in problem based learning (PBL). Disciplinary content in PBL-programs has been questioned during recent years, so stronger concepts of how knowledge is actually organized...... and structured in PBL are needed to qualify this discussion. This paper focuses on the research question: How has the structuring/organization of knowledge in curriculum changed over time and what kinds of connections and interrelations between disciplines/subjects can be identified in current PBL......-courses? The research has aimed to conceptualize how various knowledge areas blend in two educational contexts applying PBL. Interrelationships have often been referred to as inter-cross- or trans-disciplinarity. However, these terms are ambiguous. Thus I introduce the term transversality to suggests that knowledge...

  6. 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.

  7. Knowledge-based flow field zoning

    Science.gov (United States)

    Andrews, Alison E.

    1988-01-01

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

  8. 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.

  9. Information modelling and knowledge bases XXV

    CERN Document Server

    Tokuda, T; Jaakkola, H; Yoshida, N

    2014-01-01

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

  10. 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).

  11. Layered neural networks with non-monotonic transfer functions

    Science.gov (United States)

    Katayama, Katsuki; Sakata, Yasuo; Horiguchi, Tsuyoshi

    2003-01-01

    We investigate storage capacity and generalization ability for two types of fully connected layered neural networks with non-monotonic transfer functions; random patterns are embedded into the networks by a Hebbian learning rule. One of them is a layered network in which a non-monotonic transfer function of even layers is different from that of odd layers. The other is a layered network with intra-layer connections, in which the non-monotonic transfer function of inter-layer is different from that of intra-layer, and inter-layered neurons and intra-layered neurons are updated alternately. We derive recursion relations for order parameters for those layered networks by the signal-to-noise ratio method. We clarify that the storage capacity and the generalization ability for those layered networks are enhanced in comparison with those with a conventional monotonic transfer function when non-monotonicity of the transfer functions is selected optimally. We also point out that some chaotic behavior appears in the order parameters for the layered networks when non-monotonicity of the transfer functions increases.

  12. Improving the Knowledge Base in Teacher Education.

    Science.gov (United States)

    Rockler, Michael J.

    Education in the United States for most of the last 50 years has built its knowledge base on a single dominating foundation--behavioral psychology. This paper analyzes the history of behaviorism. Syntheses are presented of the theories of Ivan P. Pavlov, J. B. Watson, and B. F. Skinner, all of whom contributed to the body of works on behaviorism.…

  13. KNOWLEDGE BASED METHODS FOR VIDEO DATA RETRIEVAL

    OpenAIRE

    S.Thanga Ramya; P. Rangarajan

    2011-01-01

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

  14. Knowledge base development for SAM training tools

    Energy Technology Data Exchange (ETDEWEB)

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

    2001-03-01

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

  15. Education Management in Knowledge Based Society

    Directory of Open Access Journals (Sweden)

    Daniela Todose

    2008-09-01

    Full Text Available Europe is developing its “knowledge society”. It passes from an economy based on traditional factors of production (land, labor, capital to one in which the major components are information and knowledge. It is well known that the socio-economical and technological development has an important impact on the labor market in developed nations. So, more skills are needed and a flexible and dynamic labor supply. Nowadays, developed and developing nations are increasingly able to deliver high skills at low costs. This paper investigates the achievements of the education systems and the interdependences between education and welfare.

  16. Knowledge based recognition of harbor target

    Institute of Scientific and Technical Information of China (English)

    Zhu Bing; Li Jinzong; Cheng Aijun

    2006-01-01

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

  17. Nonmonotonic Aging and Memory Retention in Disordered Mechanical Systems

    Science.gov (United States)

    Lahini, Yoav; Gottesman, Omer; Amir, Ariel; Rubinstein, Shmuel M.

    2017-02-01

    We observe nonmonotonic aging and memory effects, two hallmarks of glassy dynamics, in two disordered mechanical systems: crumpled thin sheets and elastic foams. Under fixed compression, both systems exhibit monotonic nonexponential relaxation. However, when after a certain waiting time the compression is partially reduced, both systems exhibit a nonmonotonic response: the normal force first increases over many minutes or even hours until reaching a peak value, and only then is relaxation resumed. The peak time scales linearly with the waiting time, indicating that these systems retain long-lasting memory of previous conditions. Our results and the measured scaling relations are in good agreement with a theoretical model recently used to describe observations of monotonic aging in several glassy systems, suggesting that the nonmonotonic behavior may be generic and that athermal systems can show genuine glassy behavior.

  18. Specification of Dynamics for Knowledge-Based Systems

    NARCIS (Netherlands)

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

    1998-01-01

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

  19. Functional Knowledge Representation Based on Problem Reduction

    Institute of Scientific and Technical Information of China (English)

    高济

    1992-01-01

    This paper proposes an approach for functional knowledge representation based on problem reuction,which represents the organization of problem-solving activities in two levels:reduction and reasoning.The former makes the functional plans for problem-solving while the latter constructs functional units, called handlers,for executing subproblems designated by these plans.This approach emphasizes that the representation of domain knowledge should be closely combined with(rather than separated from)its use,therefore provides a set of reasoning-level primitives to construct handlers and formulate the control strategies for executing them,As reduction-level primitives,handlers are used to construct handler-associative networks,which become the executable representation of problem-reduction graphs,in order to realize the problem-solving methods suited to domain features.Besides,handlers and their control slots can be used to focus the attention of knowledge acquisition and reasoning control.

  20. 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...

  1. 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. © The Author(s) 2015. Published by Oxford University Press.

  2. Adaptive nonmonotone line search method for unconstrained optimization

    Institute of Scientific and Technical Information of China (English)

    Qunyan ZHOU; Wenyu SUN

    2008-01-01

    In this paper, an adaptive nonmonotone line search method for unconstrained minimization problems is proposed. At every iteration, the new algorithm selects only one of the two directions: a Newton-type direc-tion and a negative curvature direction, to perform the line search. The nonmonotone technique is included in the backtracking line search when the Newton-type direction is the search direction. Furthermore, if the negative curvature direction is the search direction, we increase the steplength un-der certain conditions. The global convergence to a stationary point with second-order optimality conditions is established. Some numerical results which show the efficiency of the new algorithm are reported.

  3. Satellite Contamination and Materials Outgassing Knowledge base

    Science.gov (United States)

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

    2001-01-01

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

  4. 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.

  5. 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.

  6. 基于中心路径大邻域上的一类非单调线性互补问题的高阶可行内点算法%HIGH-ORDER FEASIBLE INTERIOR POINT ALGORITHMS FOR A CLASS OF NONMONOTONIC LINEAR COMPLEMENTARY PROBLEMS BASED ON LARGE NEIGHBORHOODS OF CENTRAL PATH

    Institute of Scientific and Technical Information of China (English)

    王浚岭

    2005-01-01

    In this paper a high-order feasible interior point algorithm for a class of nonmonotonic (P-matrix) linear complementary problem based on large neighborhoods of central path is presented and its iteration complexity is discussed.These algorithms are implicitly associated with a large neighborhood whose size may depend on the dimension of the problems. The complexity of these algorithms bound depends on the size of the neighborhood. It is well known that the complexity of large-step algorithms is greater than that of short- step ones. By using high-order power series (hence the name high-order algorithms), the iteration complexity can be reduced. We show that the upper bound of complexity for our high-order algorithms is equal to that for short-step algorithms.

  7. 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.

  8. 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**.

  9. 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.

  10. Modeling non-monotone risk aversion using SAHARA utility functions

    NARCIS (Netherlands)

    A. Chen; A. Pelsser; M. Vellekoop

    2011-01-01

    We develop a new class of utility functions, SAHARA utility, with the distinguishing feature that it allows absolute risk aversion to be non-monotone and implements the assumption that agents may become less risk averse for very low values of wealth. The class contains the well-known exponential and

  11. A NONMONOTONE CONJUGATE GRADIENT ALGORITHM FOR UNCONSTRAINED OPTIMIZATION

    Institute of Scientific and Technical Information of China (English)

    DAI Yuhong

    2002-01-01

    Conjugate gradient methods are very important methods for unconstrained optimization, especially for large scale problems. In this paper, we propose a new conjugate gradient method, in which the technique of nonmonotone line search is used. Under mild assumptions, we prove the global convergence of the method. Some numerical results are also presented.

  12. Reasoning Biases, Non-Monotonic Logics, and Belief Revision

    NARCIS (Netherlands)

    Dutilh Novaes, Catarina; Veluwenkamp, Herman

    2017-01-01

    A range of formal models of human reasoning have been proposed in a number of fields such as philosophy, logic, artificial intelligence, computer science, psychology, cognitive science etc.: various logics (epistemic logics; non-monotonic logics), probabilistic systems (most notably, but not exclusi

  13. 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.

  14. Automated Fictional Ideation via Knowledge Base Manipulation.

    Science.gov (United States)

    Llano, Maria Teresa; Colton, Simon; Hepworth, Rose; Gow, Jeremy

    The invention of fictional ideas (ideation) is often a central process in the creative production of artefacts such as poems, music and paintings, but has barely been studied in the computational creativity community. We present here a general approach to automated fictional ideation that works by manipulating facts specified in knowledge bases. More specifically, we specify a number of constructions which, by altering and combining facts from a knowledge base, result in the generation of fictions. Moreover, we present an instantiation of these constructions through the use of ConceptNet, a database of common sense knowledge. In order to evaluate the success of these constructions, we present a curation analysis that calculates the proportion of ideas which pass a typicality judgement. We further evaluate the output of this approach through a crowd-sourcing experiment in which participants were asked to rank ideas. We found a positive correlation between the participant's rankings and a chaining inference technique that automatically assesses the value of the fictions generated through our approach. We believe that these results show that this approach constitutes a firm basis for automated fictional ideation with evaluative capacity.

  15. Database systems for knowledge-based discovery.

    Science.gov (United States)

    Jagarlapudi, Sarma A R P; Kishan, K V Radha

    2009-01-01

    Several database systems have been developed to provide valuable information from the bench chemist to biologist, medical practitioner to pharmaceutical scientist in a structured format. The advent of information technology and computational power enhanced the ability to access large volumes of data in the form of a database where one could do compilation, searching, archiving, analysis, and finally knowledge derivation. Although, data are of variable types the tools used for database creation, searching and retrieval are similar. GVK BIO has been developing databases from publicly available scientific literature in specific areas like medicinal chemistry, clinical research, and mechanism-based toxicity so that the structured databases containing vast data could be used in several areas of research. These databases were classified as reference centric or compound centric depending on the way the database systems were designed. Integration of these databases with knowledge derivation tools would enhance the value of these systems toward better drug design and discovery.

  16. Non-monotonic reasoning in conceptual modeling and ontology design: A proposal

    CSIR Research Space (South Africa)

    Casini, G

    2013-06-01

    Full Text Available and modeling of defeasible information and non-monotonic reasoning services. Here we formalize a possible way of introducing non-monotonic reasoning into ORM2 schemas, enriching the language with special set of new constraints....

  17. EQUILIBRIUM ALGORITHMS WITH NONMONOTONE LINE SEARCH TECHNIQUE FOR SOLVING THE TRAFFIC ASSIGNMENT PROBLEMS

    Institute of Scientific and Technical Information of China (English)

    ZHAO Hui; GAO Ziyou

    2005-01-01

    This paper presents a unified framework of the nonmonotone convex combination algorithms (such as Frank-Wolfe Algorithm) for solving the traffic assignment problems. Global convergence results are established under mild conditions. The line search procedure used in our algorithm includes the nonmonotone Armijo rule, the nonmonotone Goldstein rule and the nonmonotone Wolfe rule as special cases. So, the new algorithm can be viewed as a generalization of the regular convex combination algorithm.

  18. CONSTRUCTION METHOD OF KNOWLEDGE MAP BASED ON DESIGN PROCESS

    Institute of Scientific and Technical Information of China (English)

    SU Hai; JIANG Zuhua

    2007-01-01

    Due to the increasing amount and complexity of knowledge in product design, the knowledge map based on design process is presented as a tool to reuse product design process, promote the product design knowledge sharing. The relationship between design task flow and knowledge flow is discussed; A knowledge organizing method based on design task decomposition and a visualization method to support the knowledge retrieving and sharing in product design are proposed. And a knowledge map system to manage the knowledge in product design process is built with Visual C++ and SVG. Finally, a brief case study is provided to illustrate the construction and application of knowledge map in fuel pump design.

  19. Personal knowledge management based on social software

    Science.gov (United States)

    Zhao, Chengling; Cao, Jianxia; Guo, Xinhua

    The emergence of information technology has provided a powerful hand for personal knowledge management, thus the personal knowledge management goes on more convenient and feasible. This paper gave the summary of personal knowledge management as well as social software, and then analyzed the characteristic of applying social software in personal knowledge management from the explicit and tacit knowledge perspective, finally gave a model of applying social software in personal knowledge management.

  20. 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.

  1. Adaptive Knowledge Management of Project-Based Learning

    Science.gov (United States)

    Tilchin, Oleg; Kittany, Mohamed

    2016-01-01

    The goal of an approach to Adaptive Knowledge Management (AKM) of project-based learning (PBL) is to intensify subject study through guiding, inducing, and facilitating development knowledge, accountability skills, and collaborative skills of students. Knowledge development is attained by knowledge acquisition, knowledge sharing, and knowledge…

  2. Knowledge Innovation Mode Based on New Product Development Procedure

    Institute of Scientific and Technical Information of China (English)

    Zhang Yi

    2011-01-01

    Knowledge classification based on new product development procedure The new product development procedure requires that each stage has necessary activity and output result,generally files,in fact these output results are coded product knowledge produced in each stage,also including product knowledge and process knowledge without coding,for instance the knowledge and experiences of project management,etc.

  3. Knowledge-based geometric modeling in construction

    DEFF Research Database (Denmark)

    Bonev, Martin; Hvam, Lars

    2012-01-01

    a considerably high amount of their recourses is required for designing and specifying the majority of their product assortment. As design decisions are hereby based on knowledge and experience about behaviour and applicability of construction techniques and materials for a predefined design situation, smart...... tools need to be developed, to support these activities. In order to achieve a higher degree of design automation, this study proposes a framework for using configuration systems within the CAD environment together with suitable geometric modeling techniques on the example of a Danish manufacturer...

  4. A STEPPING STONE TOWARDS KNOWLEDGE BASED MAINTENANCE

    Directory of Open Access Journals (Sweden)

    G. Waeyenbergh

    2012-01-01

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

  5. Virtual Sewing Based on Draping Knowledge

    Institute of Scientific and Technical Information of China (English)

    TANG Ming-hao; MA Jiang-li; ZHANG Chi; ZHANG Zu-fang; FANG Xiao-wei

    2007-01-01

    Virtual sewing is one of the key techniques in the realization of 3D computer aided garment design. After aualysis and comparison, this article brings forward a method of virtual sewing based on draping knowledge. Two new concepts are introduced. One is the conversion of garment pattern pieces' attributes and the other is the "clothes shell"--a middleware to simplify the mapping process. Meanwhile, the method implements the mapping process and completes virtual sewing by setting anchor points and lines on the virtual model. The method has been applied to a simulation system and proved to be successful.

  6. Gestalteconomy: The economic bases of knowledge management

    Energy Technology Data Exchange (ETDEWEB)

    Maisseu, A. [WONUC, 49, rue Lauriston, 75116 Paris (France)]. E-mail: andre.maisseu@wanadoo.fr

    2006-07-01

    Conventional economic analyses are based on dogmas that are frequently out of phase with reality. It is thus very difficult to introduce technology, technological innovation and technical progress correctly into all the theoretical constructions derived from the application of these principles. The same applies to the consideration of pollution and the depletion of natural resources. These difficult problems, which bedevil the definition of a sustainable development, find no satisfactory answer in these theoretical considerations. The consideration of Gestalteconomy helps to resolve these difficulties, in opening the door to the entrepreneurial practical management of knowledge. (author)

  7. Knowledge Governance in Project-Based Organizations

    DEFF Research Database (Denmark)

    Pemsel, Sofia; Wiewiora, Anna; Müller, Ralf

    This paper conceptualizes knowledge governance (KG) in project-based organizations (PBOs) and its methodological approaches for empirical investigation. Three key contributions towards a multi-faceted view of KG and an understanding of KG in PBOs are advanced. These contributions include...... a definition of KG in PBOs, a conceptual framework to investigate KG and a methodological framework for empirical inquiry into KG in PBO settings. Our definition highlights the contingent nature of KG processes in relation to their organizational context. The conceptual framework addresses macro- and micro...

  8. 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.

  9. 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.

  10. Measurement of non-monotonic Casimir forces between silicon nanostructures

    Science.gov (United States)

    Tang, L.; Wang, M.; Ng, C. Y.; Nikolic, M.; Chan, C. T.; Rodriguez, A. W.; Chan, H. B.

    2017-01-01

    Casimir forces are of fundamental interest because they originate from quantum fluctuations of the electromagnetic field. Apart from controlling this force via the optical properties of materials, a number of novel geometries have been proposed to generate repulsive and/or non-monotonic Casimir forces between bodies separated by vacuum gaps. Experimental realization of these geometries, however, is hindered by the difficulties in alignment when the bodies are brought into close proximity. Here, using an on-chip platform with integrated force sensors and actuators, we circumvent the alignment problem and measure the Casimir force between two surfaces with nanoscale protrusions. We demonstrate that the force depends non-monotonically on the displacement. At some displacements, the Casimir force leads to an effective stiffening of the nanomechanical spring. Our findings pave the way for exploiting the Casimir force in nanomechanical systems using structures of complex and non-conventional shapes.

  11. AN ADAPTIVE NONMONOTONIC TRUST REGION METHOD WITH CURVILINEAR SEARCHES

    Institute of Scientific and Technical Information of China (English)

    Qun-yan Zhou; Wen-yu Sun

    2006-01-01

    In this paper, an algorithm for unconstrained optimization that employs both trust region techniques and curvilinear searches is proposed. At every iteration, we solve the trust region subproblem whose radius is generated adaptively only once. Nonmonotonic backtracking curvilinear searches are performed when the solution of the subproblem is unacceptable. The global convergence and fast local convergence rate of the proposed algorithms are established under some reasonable conditions. The results of numerical experiments are reported to show the effectiveness of the proposed algorithms.

  12. An object-based methodology for knowledge representation in SGML

    Energy Technology Data Exchange (ETDEWEB)

    Kelsey, R.L. [Los Alamos National Lab., NM (United States)|New Mexico State Univ., Las Cruces, NM (United States); Hartley, R.T. [New Mexico State Univ., Las Cruces, NM (United States); Webster, R.B. [Los Alamos National Lab., NM (United States)

    1997-11-01

    An object-based methodology for knowledge representation and its Standard Generalized Markup Language (SGML) implementation is presented. The methodology includes class, perspective domain, and event constructs for representing knowledge within an object paradigm. The perspective construct allows for representation of knowledge from multiple and varying viewpoints. The event construct allows actual use of knowledge to be represented. The SGML implementation of the methodology facilitates usability, structured, yet flexible knowledge design, and sharing and reuse of knowledge class libraries.

  13. 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.

  14. Knowledge Governance in Project-Based Organizations

    DEFF Research Database (Denmark)

    Pemsel, Sofia; Wiewiora, Anna; Müller, Ralf

    a definition of KG in PBOs, a conceptual framework to investigate KG and a methodological framework for empirical inquiry into KG in PBO settings. Our definition highlights the contingent nature of KG processes in relation to their organizational context. The conceptual framework addresses macro- and micro......This paper conceptualizes knowledge governance (KG) in project-based organizations (PBOs) and its methodological approaches for empirical investigation. Three key contributions towards a multi-faceted view of KG and an understanding of KG in PBOs are advanced. These contributions include......-level elements of KG and their interaction. The methodological framework proposes five different research approaches, structured by differentiation and integration of various ontological and epistemological stances. Together these contributions provide a novel platform for understanding KG in PBOs and developing...

  15. Research on knowledge support technology for product innovation design based on quality function knowledge deployment

    Directory of Open Access Journals (Sweden)

    Kai Zhang

    2016-06-01

    Full Text Available Based on the analysis of the relationship between the process of product innovation design and knowledge, this article proposes a theoretical model of quality function knowledge deployment. In order to link up the product innovation design and the knowledge required by the designer, the iterative method of quality function knowledge deployment is refined, as well as the knowledge retrieval model and knowledge support model based on quality function knowledge deployment are established. In the whole life cycle of product design, in view of the different requirements for knowledge in conceptual design stage, components’ configuration stage, process planning stage, and production planning stage, the quality function knowledge deployment model could link up the required knowledge with the engineering characteristics, component characteristics, process characteristics, and production characteristics in the four stages using the mapping relationship between the function characteristics and the knowledge and help the designer to track the required knowledge for realizing product innovation design. In this article, an instance about rewinding machine is given to demonstrate the practicability and validity of product innovation design knowledge support technology based on quality function knowledge deployment.

  16. Knowledge base rule partitioning design for CLIPS

    Science.gov (United States)

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

    1990-01-01

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

  17. Short Time Uniqueness Results for Solutions of Nonlocal and Non-monotone Geometric Equations

    CERN Document Server

    Barles, Guy; Mitake, Hiroyoshi

    2010-01-01

    We describe a method to show short time uniqueness results for viscosity solutions of general nonlocal and non-monotone second-order geometric equations arising in front propagation problems. Our method is based on some lower gradient bounds for the solution. These estimates are crucial to obtain regularity properties of the front, which allow to deal with nonlocal terms in the equations. Applications to short time uniqueness results for the initial value problems for dislocation type equations, asymptotic equations of a FitzHugh-Nagumo type system and equations depending on the Lebesgue measure of the fronts are presented.

  18. Interface failure modes explain non-monotonic size-dependent mechanical properties in bioinspired nanolaminates

    Science.gov (United States)

    Song, Z. Q.; Ni, Y.; Peng, L. M.; Liang, H. Y.; He, L. H.

    2016-03-01

    Bioinspired discontinuous nanolaminate design becomes an efficient way to mitigate the strength-ductility tradeoff in brittle materials via arresting the crack at the interface followed by controllable interface failure. The analytical solution and numerical simulation based on the nonlinear shear-lag model indicates that propagation of the interface failure can be unstable or stable when the interfacial shear stress between laminae is uniform or highly localized, respectively. A dimensionless key parameter defined by the ratio of two characteristic lengths governs the transition between the two interface-failure modes, which can explain the non-monotonic size-dependent mechanical properties observed in various laminate composites.

  19. 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.

  20. Knowledge data base system for twins study.

    Science.gov (United States)

    Reina, S; Miozza, F

    1994-01-01

    The medical research on twins, carried out at the Gregor Mendel Institute for Medical Genetics and Twin Study in Rome over the past four decades, has resulted in a vast collection of clinical paper records. A challenge was presented by the need for a more secure method of storage to preserve this enormously valuable historical and scientific patrimony and to render its contents more easily accessible for research purposes. We met the challenge by planning and developing the computerization of this material. New concepts, currently being explored in biomedical informatics, were applied to build a Knowledge Data Base System, using a fourth-generation language (SQL). This architecturally innovative computer system enables its users to manipulate data supplied, rather than just simply storing it. Based on heuristic relational criteria between variables and parameters, the system is employed to solve problems of sibling design analysis typically arising from twins' records, but is also equipped to meet future data base requirements. Another feature of the system is its users' ability to pull off data in the form of regular automated reports, which are distributed through a Local Area Network (LAN). Through a Bulletin Board System (BBS) and modem, any scientist (outside as well as within the Institute) is thus able to access data and exchange scientific information.

  1. CHANGES AND CHALLENGES OF THE CONTEMPORARY KNOWLEDGE BASED ECONOMY

    OpenAIRE

    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.

  2. Non-monotonic effect of confinement on the glass transition

    Science.gov (United States)

    Varnik, Fathollah; Franosch, Thomas

    2016-04-01

    The relaxation dynamics of glass forming liquids and their structure are influenced in the vicinity of confining walls. This effect has mostly been observed to be a monotonic function of the slit width. Recently, a qualitatively new behaviour has been uncovered by Mittal and coworkers, who reported that the single particle dynamics in a hard-sphere fluid confined in a planar slit varies in a non-monotonic way as the slit width is decreased from five to roughly two particle diametres (Mittal et al 2008 Phys. Rev. Lett. 100 145901). In view of the great potential of this effect for applications in those fields of science and industry, where liquids occur under strong confinement (e.g. nano-technology), the number of researchers studying various aspects and consequences of this non-monotonic behaviour has been rapidly growing. This review aims at providing an overview of the research activity in this newly emerging field. We first briefly discuss how competing mechanisms such as packing effects and short-range attraction may lead to a non-monotonic glass transition scenario in the bulk. We then analyse confinement effects on the dynamics of fluids using a thermodynamic route which relates the single particle dynamics to the excess entropy. Moreover, relating the diffusive dynamics to the Widom’s insertion probability, the oscillations of the local dynamics with density at moderate densities are fairly well described. At high densities belonging to the supercooled regime, however, this approach breaks down signaling the onset of strongly collective effects. Indeed, confinement introduces a new length scale which in the limit of high densities and small pore sizes competes with the short-range local order of the fluid. This gives rise to a non-monotonic dependence of the packing structure on confinement, with a corresponding effect on the dynamics of structural relaxation. This non-monotonic effect occurs also in the case of a cone-plate type channel, where the degree

  3. Product Modeling Based on Knowledge Fusion in Virtual Environment

    Institute of Scientific and Technical Information of China (English)

    邹湘军; 孙健; 何汉武

    2004-01-01

    Following researches on the knowledge-based product design, product modeling based on knowledge fusion is studied in a virtual environment. Knowledge fusion is the energy sources of product innovation designs. Because a knowledge representation method is the main content of knowledge fusion, production rule way, semantic network, predicate, object-oriented and case-based representations are discussed. Using agents with object-oriented method, the knowledge can be represented as a set. The product knowledge set is divided into two subset: text knowledge and knowledge of engineering graphics that is a different form. Manipulation of the subset knowledge and fusion method is described. The paper also describes a six-tuple function in an agent data structure. A virtual environment computation model is proposed, and a practical example given.

  4. 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.

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

    Science.gov (United States)

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

    2014-01-01

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

  6. Enhancing SAT Based Planning with Landmark Knowledge

    NARCIS (Netherlands)

    Elffers, J.; Konijnenberg, D.; Walraven, E.M.P.; Spaan, M.T.J.

    2013-01-01

    Several approaches exist to solve Artificial Intelligence planning problems, but little attention has been given to the combination of using landmark knowledge and satisfiability (SAT). Landmark knowledge has been exploited successfully in the heuristics of classical planning. Recently it was also s

  7. Non-monotonic wetting behavior of chitosan films induced by silver nanoparticles

    Energy Technology Data Exchange (ETDEWEB)

    Praxedes, A.P.P.; Webler, G.D.; Souza, S.T. [Instituto de Física, Universidade Federal de Alagoas, 57072-970 Maceió, AL (Brazil); Ribeiro, A.S. [Instituto de Química e Biotecnologia, Universidade Federal de Alagoas, 57072-970 Maceió, AL (Brazil); Fonseca, E.J.S. [Instituto de Física, Universidade Federal de Alagoas, 57072-970 Maceió, AL (Brazil); Oliveira, I.N. de, E-mail: italo@fis.ufal.br [Instituto de Física, Universidade Federal de Alagoas, 57072-970 Maceió, AL (Brazil)

    2016-05-01

    Highlights: • The addition of silver nanoparticles modifies the morphology of chitosan films. • Metallic nanoparticles can be used to control wetting properties of chitosan films. • The contact angle shows a non-monotonic dependence on the silver concentration. - Abstract: The present work is devoted to the study of structural and wetting properties of chitosan-based films containing silver nanoparticles. In particular, the effects of silver concentration on the morphology of chitosan films are characterized by different techniques, such as atomic force microscopy (AFM), X-ray diffraction (XRD) and Fourier transform infrared spectroscopy (FTIR). By means of dynamic contact angle measurements, we study the modification on surface properties of chitosan-based films due to the addition of silver nanoparticles. The results are analyzed in the light of molecular-kinetic theory which describes the wetting phenomena in terms of statistical dynamics for the displacement of liquid molecules in a solid substrate. Our results show that the wetting properties of chitosan-based films are high sensitive to the fraction of silver nanoparticles, with the equilibrium contact angle exhibiting a non-monotonic behavior.

  8. [Precision Nursing: Individual-Based Knowledge Translation].

    Science.gov (United States)

    Chiang, Li-Chi; Yeh, Mei-Ling; Su, Sui-Lung

    2016-12-01

    U.S. President Obama announced a new era of precision medicine in the Precision Medicine Initiative (PMI). This initiative aims to accelerate the progress of personalized medicine in light of individual requirements for prevention and treatment in order to improve the state of individual and public health. The recent and dramatic development of large-scale biologic databases (such as the human genome sequence), powerful methods for characterizing patients (such as genomics, microbiome, diverse biomarkers, and even pharmacogenomics), and computational tools for analyzing big data are maximizing the potential benefits of precision medicine. Nursing science should follow and keep pace with this trend in order to develop empirical knowledge and expertise in the area of personalized nursing care. Nursing scientists must encourage, examine, and put into practice innovative research on precision nursing in order to provide evidence-based guidance to clinical practice. The applications in personalized precision nursing care include: explanations of personalized information such as the results of genetic testing; patient advocacy and support; anticipation of results and treatment; ongoing chronic monitoring; and support for shared decision-making throughout the disease trajectory. Further, attention must focus on the family and the ethical implications of taking a personalized approach to care. Nurses will need to embrace the paradigm shift to precision nursing and work collaboratively across disciplines to provide the optimal personalized care to patients. If realized, the full potential of precision nursing will provide the best chance for good health for all.

  9. Maximizing the knowledge base: Knowledge Base+ and the Global Open Knowledgebase

    Directory of Open Access Journals (Sweden)

    Liam Earney

    2013-11-01

    Full Text Available The motivation for the two projects discussed in this article is the simple premise that the current inaccuracies of data in the library supply chain are detrimental to the user experience, limit the ability of institutions to effectively manage their collections and that resolving them is increasingly unsustainable at the institutional level. Two projects, Knowledge Base+ (KB+ in the UK and Global Open Knowledgebase (GOKb in the USA, are working in cooperation with a range of other partners, and adopting a communitycentric approach to address these issues and broaden the scope and utility of knowledge bases more generally. The belief is that only through collaboration at a wide range of levels and on a number of fronts can these challenges be overcome.

  10. Maximizing the knowledge base: Knowledge Base+ and the Global Open Knowledgebase

    OpenAIRE

    Liam Earney

    2013-01-01

    The motivation for the two projects discussed in this article is the simple premise that the current inaccuracies of data in the library supply chain are detrimental to the user experience, limit the ability of institutions to effectively manage their collections and that resolving them is increasingly unsustainable at the institutional level. Two projects, Knowledge Base+ (KB+) in the UK and Global Open Knowledgebase (GOKb) in the USA, are working in cooperation with a range of other partner...

  11. 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.

  12. Case-based reasoning: The marriage of knowledge base and data base

    Science.gov (United States)

    Pulaski, Kirt; Casadaban, Cyprian

    1988-01-01

    The coupling of data and knowledge has a synergistic effect when building an intelligent data base. The goal is to integrate the data and knowledge almost to the point of indistinguishability, permitting them to be used interchangeably. Examples given in this paper suggest that Case-Based Reasoning is a more integrated way to link data and knowledge than pure rule-based reasoning.

  13. Education Knowledge System Combination Model Based on the Components

    Institute of Scientific and Technical Information of China (English)

    CHEN Lei; LI Dehua; LI Xiaojian; WU Chunxiang

    2007-01-01

    Resources are the base and core of education information, but current web education resources have no structure and it is still difficult to reuse them and make them can be self assembled and developed continually. According to the knowledge structure of course and text, the relation among knowledge points, knowledge units from three levels of media material, we can build education resource components, and build TKCM (Teaching Knowledge Combination Model) based on resource components. Builders can build and assemble knowledge system structure and make knowledge units can be self assembled, thus we can develop and consummate them continually. Users can make knowledge units can be self assembled and renewed, and build education knowledge system to satisfy users' demand under the form of education knowledge system.

  14. An Ontology-based Knowledge Management System for Industry Clusters

    CERN Document Server

    Sureephong, Pradorn; Ouzrout, Yacine; Bouras, Abdelaziz

    2008-01-01

    Knowledge-based economy forces companies in the nation to group together as a cluster in order to maintain their competitiveness in the world market. The cluster development relies on two key success factors which are knowledge sharing and collaboration between the actors in the cluster. Thus, our study tries to propose knowledge management system to support knowledge management activities within the cluster. To achieve the objectives of this study, ontology takes a very important role in knowledge management process in various ways; such as building reusable and faster knowledge-bases, better way for representing the knowledge explicitly. However, creating and representing ontology create difficulties to organization due to the ambiguity and unstructured of source of knowledge. Therefore, the objectives of this paper are to propose the methodology to create and represent ontology for the organization development by using knowledge engineering approach. The handicraft cluster in Thailand is used as a case stu...

  15. NONMONOTONE PRECONDITIONAL CURVILINEAR PATH ALGORITHMS FOR UNCONSTRAINED OPTIMIZATION

    Institute of Scientific and Technical Information of China (English)

    朱德通

    2003-01-01

    This paper presents nonmonotonic quasi-Newton algorithms via two pre-conditional curvilinear paths, the preconditional modified gradient path and the precon-ditional optimal path, for unconstrained optimization problem. We employ the stableBunch-Parlett factorization method to form two curvilinear paths very easily. Thenonmonotone criterion is used to speed up the convergence progress in the contoursof objective function with large curvature. Theoretical analyses are given which provethat the proposed algorithms are globally convergent and have a local superlinear con-vergence rate under some reasonable conditions. The results of numerical experimentsare reported to show the effectiveness of the proposed algorithms.

  16. The Non-Monotonic Effect of Financing Constraints on Investment

    DEFF Research Database (Denmark)

    Hirth, Stefan; Viswanatha, Marc

    We analyze investment timing in a discrete-time framework with two possible investment dates, which is an extension of the model by Lyandres (2007). While Lyandres could only show non-monotonicity of investment in market frictions, we derive an investment threshold that is U-shaped in the firm's ......'s liquid funds, a result similar to the infinite-horizon model by Boyle and Guthrie (2003). However, due to the tractability of our model, we can more clearly explain the relevant trade-offs leading to the U-shape....

  17. A framework for knowledge acquisition, representation and problem-solving in knowledge-based planning

    Science.gov (United States)

    Martinez-Bermudez, Iliana

    This research addresses the problem of developing planning knowledge-based applications. In particular, it is concerned with the problems of knowledge acquisition and representation---the issues that remain an impediment to the development of large-scale, knowledge-based planning applications. This work aims to develop a model of planning problem solving that facilitates expert knowledge elicitation and also supports effective problem solving. Achieving this goal requires determining the types of knowledge used by planning experts, the structure of this knowledge, and the problem-solving process that results in the plan. While answering these questions it became clear that the knowledge structure, as well as the process of problem solving, largely depends on the knowledge available to the expert. This dissertation proposes classification of planning problems based on their use of expert knowledge. Such classification can help in the selection of the appropriate planning method when dealing with a specific planning problem. The research concentrates on one of the identified classes of planning problems that can be characterized by well-defined and well-structured problem-solving knowledge. To achieve a more complete knowledge representation architecture for such problems, this work employs the task-specific approach to problem solving. The result of this endeavor is a task-specific methodology that allows the representation and use of planning knowledge in a structural, consistent manner specific to the domain of the application. The shell for building a knowledge-based planning application was created as a proof of concept for the methodology described in this dissertation. This shell enabled the development of a system for manufacturing planning---COMPLAN. COMPLAN encompasses knowledge related to four generic techniques used in composite material manufacturing and, given the description of the composite part, creates a family of plans capable of producing it.

  18. THE KNOWLEDGE BASE FOR FISHERIES MANAGEMENT AND ...

    African Journals Online (AJOL)

    spamer

    and the associated relevance criteria for knowledge – has been promoted by most national ...... Table III: List of indicators describing the fishery production ..... Rome;. FAO: 41 pp. FAO 1999 — Indicators for sustainable development of marine.

  19. APPROACH ON INTELLIGENT OPTIMIZATION DESIGN BASED ON COMPOUND KNOWLEDGE

    Institute of Scientific and Technical Information of China (English)

    Yao Jianchu; Zhou Ji; Yu Jun

    2003-01-01

    A concept of an intelligent optimal design approach is proposed, which is organized by a kind of compound knowledge model. The compound knowledge consists of modularized quantitative knowledge, inclusive experience knowledge and case-based sample knowledge. By using this compound knowledge model, the abundant quantity information of mathematical programming and the symbolic knowledge of artificial intelligence can be united together in this model. The intelligent optimal design model based on such a compound knowledge and the automatically generated decomposition principles based on it are also presented. Practically, it is applied to the production planning, process schedule and optimization of production process of a refining & chemical work and a great profit is achieved. Specially, the methods and principles are adaptable not only to continuous process industry, but also to discrete manufacturing one.

  20. 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

  1. A NONMONOTONE TRUST REGION ALGORITHM FOR NONLINEAR OPTIMIZATION SUBJECT TO GENERAL CONSTRAINTS

    Institute of Scientific and Technical Information of China (English)

    Hongchao Zhang

    2003-01-01

    In this paper we present a nonmonotone trust region algorithm for general nonlinear constrained optimization problems. The main idea of this paper is to combine Yuan's technique[1] with a nonmonotone method similar to Ke and Han [2]. This new algorithm may not only keep the robust properties of the algorithm given by Yuan, but also have some advantages led by the nonmonotone technique. Under very mild conditions, global convergence for the algorithm is given. Numerical experiments demonstrate the efficiency of the algorithm.

  2. 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

  3. 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%.

  4. An object-based methodology for knowledge representation

    Energy Technology Data Exchange (ETDEWEB)

    Kelsey, R.L. [Los Alamos National Lab., NM (United States)|New Mexico State Univ., Las Cruces, NM (United States); Hartley, R.T. [New Mexico State Univ., Las Cruces, NM (United States); Webster, R.B. [Los Alamos National Lab., NM (United States)

    1997-11-01

    An object based methodology for knowledge representation is presented. The constructs and notation to the methodology are described and illustrated with examples. The ``blocks world,`` a classic artificial intelligence problem, is used to illustrate some of the features of the methodology including perspectives and events. Representing knowledge with perspectives can enrich the detail of the knowledge and facilitate potential lines of reasoning. Events allow example uses of the knowledge to be represented along with the contained knowledge. Other features include the extensibility and maintainability of knowledge represented in the methodology.

  5. Representability in DL-Lite_R knowledge base exchange

    NARCIS (Netherlands)

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

    2012-01-01

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

  6. Knowledge Sharing in an American Multinational Company Based in Malaysia

    Science.gov (United States)

    Ling, Chen Wai; Sandhu, Manjit S.; Jain, Kamal Kishore

    2009-01-01

    Purpose: This paper seeks to examine the views of executives working in an American based multinational company (MNC) about knowledge sharing, barriers to knowledge sharing, and strategies to promote knowledge sharing. Design/methodology/approach: This study was carried out in phases. In the first phase, a topology of organizational mechanisms for…

  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. Representability in DL-Lite_R knowledge base exchange

    NARCIS (Netherlands)

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

    2012-01-01

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

  9. A Knowledge Representation Model for Video—Based Animation

    Institute of Scientific and Technical Information of China (English)

    劳志强; 潘云鹤

    1998-01-01

    In this paper,a brief survey on knowledge-based animation techniques is given.Then a VideoStream-based Knowledge Representation Model(VSKRM)for Joint Objects is presented which includes the knowledge representation of :Graphic Object,Action and VideoStream.Next a general description of the UI framework of a system is given based on the VSKRM model.Finally,a conclusion is reached.

  10. 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

  11. How do people learn from negative evidence? Non-monotonic generalizations and sampling assumptions in inductive reasoning.

    Science.gov (United States)

    Voorspoels, Wouter; Navarro, Daniel J; Perfors, Amy; Ransom, Keith; Storms, Gert

    2015-09-01

    A robust finding in category-based induction tasks is for positive observations to raise the willingness to generalize to other categories while negative observations lower the willingness to generalize. This pattern is referred to as monotonic generalization. Across three experiments we find systematic non-monotonicity effects, in which negative observations raise the willingness to generalize. Experiments 1 and 2 show that this effect emerges in hierarchically structured domains when a negative observation from a different category is added to a positive observation. They also demonstrate that this is related to a specific kind of shift in the reasoner's hypothesis space. Experiment 3 shows that the effect depends on the assumptions that the reasoner makes about how inductive arguments are constructed. Non-monotonic reasoning occurs when people believe the facts were put together by a helpful communicator, but monotonicity is restored when they believe the observations were sampled randomly from the environment.

  12. Defeasible inheritance-based description logics

    CSIR Research Space (South Africa)

    Casini, G

    2013-01-01

    Full Text Available these two approaches and define a new non-monotonic closure operation for propositional knowledge bases that combines the advantages of both. Then we redefine such a procedure for Description Logics (DLs), a family of logics well suited to model structured...

  13. 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 are re...

  14. A software architecture for knowledge-based systems

    NARCIS (Netherlands)

    Fensel, D; Groenboom, R

    1999-01-01

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

  15. A software architecture for knowledge-based systems

    NARCIS (Netherlands)

    Fensel, D; Groenboom, R

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

  16. Towards Knowledge-Based Digital Libraries

    NARCIS (Netherlands)

    Feng, L.; Jeusfeld, M.A.; Hoppenbrouwers, J.

    From the standpoint of satisfying human's information needs, the current digital library (DL) systems suffer from the following two shortcomings: (i) inadequate high-level cognition support; (ii) inadequate knowledge sharing facilities. In this article, we introduce a two-layered digital library

  17. Knowledge Based Oil and Gas Industry

    Energy Technology Data Exchange (ETDEWEB)

    Sasson, Amir; Blomgren, Atle

    2011-07-01

    This study presents the Norwegian upstream oil and gas industry (defined as all oil and gas related firms located in Norway, regardless of ownership) and evaluates the industry according to the underlying dimensions of a global knowledge hub - cluster attractiveness, education attractiveness, talent attractiveness, RandD and innovation attractiveness, ownership attractiveness, environmental attractiveness and cluster dynamics.(au)

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

    Energy Technology Data Exchange (ETDEWEB)

    Williams, K.E.; Kotnour, T.

    1991-01-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

    Williams, K.E.; Kotnour, T.

    1991-12-31

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

  20. Construction of Expert Knowledge Monitoring and Assessment System Based on Integral Method of Knowledge Evaluation

    Science.gov (United States)

    Golovachyova, Viktoriya N.; Menlibekova, Gulbakhyt Zh.; Abayeva, Nella F.; Ten, Tatyana L.; Kogaya, Galina D.

    2016-01-01

    Using computer-based monitoring systems that rely on tests could be the most effective way of knowledge evaluation. The problem of objective knowledge assessment by means of testing takes on a new dimension in the context of new paradigms in education. The analysis of the existing test methods enabled us to conclude that tests with selected…

  1. Study of Mechanical Product Rapid Design Based on Knowledge Engineering

    Institute of Scientific and Technical Information of China (English)

    TAI Li-gang; ZHONG Ting-xiu

    2005-01-01

    This paper proposes a mechanical product intelligent rapid design approach based on integrated technologies. Adopting knowledge based engineering to reuse and manage product design knowledge, and combining feature modeling and parametric design based on existing CAD/CAE/CAM system and technology of product family modeling and engineering database, the system establishes a product family knowledge base, which mainly including product family case base and rule base. The system also utilizes WEB technology to let customers to individually customize products remotely through internet. And an applicable example is given in the end.

  2. Non-monotonic wetting behavior of chitosan films induced by silver nanoparticles

    Science.gov (United States)

    Praxedes, A. P. P.; Webler, G. D.; Souza, S. T.; Ribeiro, A. S.; Fonseca, E. J. S.; de Oliveira, I. N.

    2016-05-01

    The present work is devoted to the study of structural and wetting properties of chitosan-based films containing silver nanoparticles. In particular, the effects of silver concentration on the morphology of chitosan films are characterized by different techniques, such as atomic force microscopy (AFM), X-ray diffraction (XRD) and Fourier transform infrared spectroscopy (FTIR). By means of dynamic contact angle measurements, we study the modification on surface properties of chitosan-based films due to the addition of silver nanoparticles. The results are analyzed in the light of molecular-kinetic theory which describes the wetting phenomena in terms of statistical dynamics for the displacement of liquid molecules in a solid substrate. Our results show that the wetting properties of chitosan-based films are high sensitive to the fraction of silver nanoparticles, with the equilibrium contact angle exhibiting a non-monotonic behavior.

  3. Knowledge acquisition method for case-knowledge-based product family design

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    Knowledge acquisition has always been the bottleneck of artificial intelligence. It is the critical point in product family design. Here a knowledge acquisition method was introduced based on scenario model and repository grid and attribute ordering table technology. This method acquired knowledge through providing product design cases to expert, and recording the means and knowledge used by the expert to describe and resolve problems. It used object to express design entity, used scenario to describe the design process, used Event-Condition-Action (ECA) rule to drive design process, and with the help of repository grid and attribute ordering table technology to acquire design knowledge. It's a good way to capture explicit and implicit knowledge. And its validity is proved with respective examples.

  4. CREATIVE DESIGN BASED ON KNOWLEDGE MANAGEMENT IN ENGINEERING DESIGN

    Institute of Scientific and Technical Information of China (English)

    LIANG Jun; JIANG Zuhua; ZHEN Lu; SU Hai; WANG Kuoming

    2007-01-01

    To support and serve engineering design, creative design based on knowledge management is proposed. The key knowledge factors of creative design are analyzed and discussed, and knowledge extraction tools are utilized to distill the important knowledge to serve for knowledge resource of creative design. The implementation of creative design mode is described and executed, which can promote the intelligent asset of the enterprise and shorten the period of creative design. With this study, design afflatus and conceptual design can be achieved expediently and effectively.

  5. Applying Knowledge-Based Techniques to Software Development.

    Science.gov (United States)

    Harandi, Mehdi T.

    1986-01-01

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

  6. Knowledge-based segmentation for automatic Map interpretation

    NARCIS (Netherlands)

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

    1996-01-01

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

  7. 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…

  8. 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

  9. Knowledge-Based Approaches: Two cases of applicability

    DEFF Research Database (Denmark)

    Andersen, Tom

    1997-01-01

    Basic issues of the term: A knowledge-based approach (KBA) are discussed. Two cases of applicable to KBA are presented, and its concluded that KBA is more than just IT.......Basic issues of the term: A knowledge-based approach (KBA) are discussed. Two cases of applicable to KBA are presented, and its concluded that KBA is more than just IT....

  10. 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…

  11. 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…

  12. 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

  13. Nonmonotonic quantum-to-classical transition in multiparticle interference

    DEFF Research Database (Denmark)

    Ra, Young-Sik; Tichy, Malte; Lim, Hyang-Tag

    2013-01-01

    Quantum-mechanical wave–particle duality implies that probability distributions for granular detection events exhibit wave-like interference. On the single-particle level, this leads to self-interference—e.g., on transit across a double slit—for photons as well as for large, massive particles...... that interference fades away monotonically with increasing distinguishability—in accord with available experimental evidence on the single- and on the many-particle level. Here, we demonstrate experimentally and theoretically that such monotonicity of the quantum-to-classical transition is the exception rather than...... the rule whenever more than two particles interfere. As the distinguishability of the particles is continuously increased, different numbers of particles effectively interfere, which leads to interference signals that are, in general, nonmonotonic functions of the distinguishability of the particles...

  14. Chaos in neural networks with a nonmonotonic transfer function

    CERN Document Server

    Caroppo, D; Nardulli, Giuseppe; Stramaglia, S

    1999-01-01

    Time evolution of diluted neural networks with a nonmonotonic transfer function is analitically described by flow equations for macroscopic variables. The macroscopic dynamics shows a rich variety of behaviours: fixed-point, periodicity and chaos. We examine in detail the structure of the strange attractor and in particular we study the main features of the stable and unstable manifolds, the hyperbolicity of the attractor and the existence of homoclinic intersections. We also discuss the problem of the robustness of the chaos and we prove that in the present model chaotic behaviour is fragile (chaotic regions are densely intercalated with periodicity windows), according to a recently discussed conjecture. Finally we perform an analysis of the microscopic behaviour and in particular we examine the occurrence of damage spreading by studying the time evolution of two almost identical initial configurations. We show that for any choice of the parameters the two initial states remain microscopically distinct.

  15. The global convergence of the non-quasi-Newton methods with non-monotone line search

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    The non-quasi-Newton methods for unconstrained optimization was investigated. Non-monotone line search procedure is introduced, which is combined with the non-quasi-Newton family. Under the uniform convexity assumption on objective function, the global convergence of the non-quasi-Newton family was proved.Numerical experiments showed that the non-monotone line search was more effective.

  16. 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.

  17. Knowledge sources for evidence-based practice in rheumatology nursing.

    Science.gov (United States)

    Neher, Margit; Ståhl, Christian; Ellström, Per-Erik; Nilsen, Per

    2015-12-01

    As rheumatology nursing develops and extends, knowledge about current use of knowledge in rheumatology nursing practice may guide discussions about future knowledge needs. To explore what perceptions rheumatology nurses have about their knowledge sources and about what knowledge they use in their practice, 12 nurses working in specialist rheumatology were interviewed using a semi-structured interview guide. The data were analyzed using conventional qualitative content analysis. The analysis yielded four types of knowledge sources in clinical practice: interaction with others in the workplace, contacts outside the workplace, written materials, and previous knowledge and experience. Colleagues, and physicians in particular, were important for informal learning in daily rheumatology practice. Evidence from the medical arena was accessed through medical specialists, while nursing research was used less. Facilitating informal learning and continuing formal education is proposed as a way toward a more evidence-based practice in extended roles. © The Author(s) 2014.

  18. PROBLEM BASED LEARNING FOR EPISTEMOLOGICAL COMPETENCE: THE KNOWLEDGE ACQUISITION PERSPECTIVES

    Directory of Open Access Journals (Sweden)

    Alias Masek

    2011-09-01

    Full Text Available This article explores the potential of Problem Based Learning (PBL for epistemological competence in< an engineering education area. The main idea is to explore how the processes in PBL promote knowledge acquisition that lead to an individual deep content learning. A review has been done from theoretical and conceptual aspect, as well as supportive evidence from several empirical findings. Within this, knowledge is constructed from the basic knowledge of concepts, principles, and procedural knowledge with integration to previous knowledge and experiences. The concepts and principles are linked and integrated with each other, forming a procedural knowledge, which promotes deep content learning. However, supportive evidence from the recent research literature indicates inconclusive findings, which called for more studies to provide more empirical evidence to investigate the effectiveness of PBL on knowledge acquisitions.

  19. Knowledge Management in Role Based Agents

    Science.gov (United States)

    Kır, Hüseyin; Ekinci, Erdem Eser; Dikenelli, Oguz

    In multi-agent system literature, the role concept is getting increasingly researched to provide an abstraction to scope beliefs, norms, goals of agents and to shape relationships of the agents in the organization. In this research, we propose a knowledgebase architecture to increase applicability of roles in MAS domain by drawing inspiration from the self concept in the role theory of sociology. The proposed knowledgebase architecture has granulated structure that is dynamically organized according to the agent's identification in a social environment. Thanks to this dynamic structure, agents are enabled to work on consistent knowledge in spite of inevitable conflicts between roles and the agent. The knowledgebase architecture is also implemented and incorporated into the SEAGENT multi-agent system development framework.

  20. Knowledge Management Approaches in Portal-Based Collaborative

    Directory of Open Access Journals (Sweden)

    Mihaela I. MUNTEAN

    2009-01-01

    Full Text Available Collaboration involves a different approach to business – focused on managing business relationships between people, within or without groups, and within and between organizations. Collaborative enterprises differ from other business in a number of ways and collaborative working needs to be simultaneously a business philosophy, strategy and operational working. Effective collaboration unlocks the potential of the collective knowledge and intellectual capital of the organization and its networks of business partners, suppliers and customers. At the core of true collaboration is the ability to share and catalogue knowledge, ideas, standards, best practices, and lessons learned and to be able to retrieve that knowledge from anywhere at any time. Knowledge management is not a goal by itself. Businesses don't exist with the purpose of spreading and advancing knowledge, they exist for selling competitive products and services of high quality. Based on these considerations, we propose some knowledge management approaches for portal-based collaborative environments.

  1. Multistability and Instability of Neural Networks With Discontinuous Nonmonotonic Piecewise Linear Activation Functions.

    Science.gov (United States)

    Nie, Xiaobing; Zheng, Wei Xing

    2015-11-01

    In this paper, we discuss the coexistence and dynamical behaviors of multiple equilibrium points for recurrent neural networks with a class of discontinuous nonmonotonic piecewise linear activation functions. It is proved that under some conditions, such n -neuron neural networks can have at least 5(n) equilibrium points, 3(n) of which are locally stable and the others are unstable, based on the contraction mapping theorem and the theory of strict diagonal dominance matrix. The investigation shows that the neural networks with the discontinuous activation functions introduced in this paper can have both more total equilibrium points and more locally stable equilibrium points than the ones with continuous Mexican-hat-type activation function or discontinuous two-level activation functions. An illustrative example with computer simulations is presented to verify the theoretical analysis.

  2. 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.

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

    Science.gov (United States)

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

    1996-12-01

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

  4. PR and USVI Ecosystem Governance Knowledge Base

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — We are developing an inventory of conservation based actions, collaborative structures and sources of governance at multiple scales to serve as a basis for an...

  5. 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.

  6. 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.

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

    Science.gov (United States)

    Berman, Yitzhak

    1994-01-01

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

  8. A Conceptualization of Knowledge Governance in Project-based Organizations

    DEFF Research Database (Denmark)

    Pemsel, Sofia; Wiewiorac, Anna; Müller, Ralf

    2014-01-01

    This paper conceptualizes and defines knowledge governance (KG) in project-based organizations (PBOs). Two key contributions towards a multi-faceted view of KG and an understanding of KG in PBOs are advanced, as distinguished from knowledge management and organizational learning concepts. The con...

  9. 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,…

  10. 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,…

  11. 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.

  12. 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.

  13. Project-based knowledge in organizing open innovation

    CERN Document Server

    Comacchio, Anna; Pizzi, Claudio

    2014-01-01

    Enriching understanding of the current theoretical debate on project-based open innovation, ‘Project-based Knowledge in Organizing Open Innovation’ draws on innovation management literature and knowledge-based perspectives to investigate the relationship between knowledge development at project level and the strategic organization of open innovation. Addressing the still open issue of how the firm level should be complemented by studies at the project level of analysis, this book provides theoretical and empirical arguments on the advantages of a more fine-grained level of analysis to understand how firms organize their innovation processes across boundaries. The book also addresses the emerging interest in the management literature on project-based organizations, and on the relevance of project forms of organizing in a knowledge-based economy. Through field research in different industrial settings , this book provides empirical evidence on how firms design open innovation project-by-project and it will ...

  14. Knowledge-based decision support systems: social significance

    Energy Technology Data Exchange (ETDEWEB)

    Bendifallah, S.

    1982-01-01

    Methodologies applied in the utilization of computer systems for decision support reflect the twin facets of automation: the use of computers as knowledge technologies which facilitate or even take over human labor, and the often Tayloristic situations within which they are used. The paper is concerned with non-Tayloristic, convivial and congenial methodologies for the acquisition, accumulation and utilization of knowledge. It emphasizes the contribution of artificial intelligence research in knowledge engineering as exemplified by knowledge-based (expert) systems, distributed problem solving architectures, and goal-directed decision structuring systems. 20 references.

  15. Exceptional knowledge discovery in databases based on information theory

    Energy Technology Data Exchange (ETDEWEB)

    Suzuki, Einoshin [Yokohama National Univ. (Japan); Shimura, Masamichi [Tokyo Inst. of Technology (Japan)

    1996-12-31

    This paper presents an algorithm for discovering exceptional knowledge from databases. Exceptional knowledge, which is defined as an exception to a general fact, exhibits unexpectedness and is sometimes extremely useful in spite of its obscurity. Previous discovery approaches for this type of knowledge employ either background knowledge or domain-specific criteria for evaluating the possible usefulness, i.e. the interestingness of the knowledge extracted from a database. It has been pointed out, however, that these approaches are prone to overlook useful knowledge. In order to circumvent these difficulties, we propose an information-theoretic approach in which we obtain exceptional knowledge associated with general knowledge in the form of a rule pair using a depth-first search method. The product of the ACEs (Average Compressed Entropies) of the rule pair is introduced as the criterion for evaluating the interestingness of exceptional knowledge. The inefficiency of depth-first search is alleviated by a branch-and-bound method, which exploits the upper-bound for the product of the ACEs. MEPRO, which is a knowledge discovery system based on our approach, has been validated using the benchmark databases in the machine learning community.

  16. Knowledge modeling of coal mining equipments based on ontology

    Science.gov (United States)

    Zhang, Baolong; Wang, Xiangqian; Li, Huizong; Jiang, Miaomiao

    2017-06-01

    The problems of information redundancy and sharing are universe in coal mining equipment management. In order to improve the using efficiency of knowledge of coal mining equipments, this paper proposed a new method of knowledge modeling based on ontology. On the basis of analyzing the structures and internal relations of coal mining equipment knowledge, taking OWL as ontology construct language, the ontology model of coal mining equipment knowledge is built with the help of Protégé 4.3 software tools. The knowledge description method will lay the foundation for the high effective knowledge management and sharing, which is very significant for improving the production management level of coal mining enterprises.

  17. A relational data-knowledge base system and its potential in developing a distributed data-knowledge system

    Science.gov (United States)

    Rahimian, Eric N.; Graves, Sara J.

    1988-01-01

    A new approach used in constructing a rational data knowledge base system is described. The relational database is well suited for distribution due to its property of allowing data fragmentation and fragmentation transparency. An example is formulated of a simple relational data knowledge base which may be generalized for use in developing a relational distributed data knowledge base system. The efficiency and ease of application of such a data knowledge base management system is briefly discussed. Also discussed are the potentials of the developed model for sharing the data knowledge base as well as the possible areas of difficulty in implementing the relational data knowledge base management system.

  18. Knowledge 'Translation' as social learning: negotiating the uptake of research-based knowledge in practice.

    Science.gov (United States)

    Salter, K L; Kothari, A

    2016-02-29

    Knowledge translation and evidence-based practice have relied on research derived from clinical trials, which are considered to be methodologically rigorous. The result is practice recommendations based on a narrow view of evidence. We discuss how, within a practice environment, in fact individuals adopt and apply new evidence derived from multiple sources through ongoing, iterative learning cycles. The discussion is presented in four sections. After elaborating on the multiple forms of evidence used in practice, in section 2 we argue that the practitioner derives contextualized knowledge through reflective practice. Then, in section 3, the focus shifts from the individual to the team with consideration of social learning and theories of practice. In section 4 we discuss the implications of integrative and negotiated knowledge exchange and generation within the practice environment. Namely, how can we promote the use of research within a team-based, contextualized knowledge environment? We suggest support for: 1) collaborative learning environments for active learning and reflection, 2) engaged scholarship approaches so that practice can inform research in a collaborative manner and 3) leveraging authoritative opinion leaders for their clinical expertise during the shared negotiation of knowledge and research. Our approach also points to implications for studying evidence-informed practice: the identification of practice change (as an outcome) ought to be supplemented with understandings of how and when social negotiation processes occur to achieve integrated knowledge. This article discusses practice knowledge as dependent on the practice context and on social learning processes, and suggests how research knowledge uptake might be supported from this vantage point.

  19. Knowledge-based control and case-based diagnosis based upon empirical knowledge and fuzzy logic for the SBR plant.

    Science.gov (United States)

    Bae, H; Seo, H Y; Kim, S; Kim, Y

    2006-01-01

    Because biological wastewater treatment plants (WWTPs) involve a long time-delay and various disturbances, in general, skilled operators manually control the plant based on empirical knowledge. And operators usually diagnose the plant using similar cases experienced in the past. For the effective management of the plant, system automation has to be accomplished based upon operating recipes. This paper introduces automatic control and diagnosis based upon the operator's knowledge. Fuzzy logic was employed to design this knowledge-based controller because fuzzy logic can convert the linguistic information to rules. The controller can manage the influent and external carbon in considering the loading rate. The input of the controller is not the loading rate but the dissolved oxygen (DO) lag-time, which has a strong relation to the loading rate. This approach can replace an expensive sensor, which measures the loading rate and ammonia concentration in the reactor, with a cheaper DO sensor. The proposed controller can assure optimal operation and prevent the over-feeding problem. Case-based diagnosis was achieved by the analysis of profile patterns collected from the past. A new test profile was diagnosed by comparing it with template patterns containing normal and abnormal cases. The proposed control and diagnostic system will guarantee the effective and stable operation of WWTPs.

  20. Structural choice based on knowledge discovery system

    Institute of Scientific and Technical Information of China (English)

    邢方亮; 王光远

    2002-01-01

    Structural choice is a significant decision having an important influence on structural function, socialeconomics, structural reliability and construction cost. A Case Based Reasoning system with its retrieval partconstructed with a KDD subsystem, is put forward to make a decision for a large scale engineering project. Atypical CBR system consists of four parts: case representation, case retriever, evaluation, and adaptation. Acase library is a set of parameterized excellent and successful structures. For a structural choice, the key pointis that the system must be able to detect the pattern classes hidden in the case library and classify the input pa-rameters into classes properly. That is done by using the KDD Data Mining algorithm based on Self-OrganizingFeature Maps ( SOFM), which makes the whole system more adaptive, self-organizing, self-learning and open.

  1. 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.

  2. Enhancing acronym/abbreviation knowledge bases with semantic information.

    Science.gov (United States)

    Torii, Manabu; Liu, Hongfang

    2007-10-11

    In the biomedical domain, a terminology knowledge base that associates acronyms/abbreviations (denoted as SFs) with the definitions (denoted as LFs) is highly needed. For the construction such terminology knowledge base, we investigate the feasibility to build a system automatically assigning semantic categories to LFs extracted from text. Given a collection of pairs (SF,LF) derived from text, we i) assess the coverage of LFs and pairs (SF,LF) in the UMLS and justify the need of a semantic category assignment system; and ii) automatically derive name phrases annotated with semantic category and construct a system using machine learning. Utilizing ADAM, an existing collection of (SF,LF) pairs extracted from MEDLINE, our system achieved an f-measure of 87% when assigning eight UMLS-based semantic groups to LFs. The system has been incorporated into a web interface which integrates SF knowledge from multiple SF knowledge bases. Web site: http://gauss.dbb.georgetown.edu/liblab/SFThesurus.

  3. Semantic diff as the basis for knowledge base versioning

    CSIR Research Space (South Africa)

    Franconi, E

    2010-05-01

    Full Text Available central role in the framework. The authors show that an appropriate characterization produces a unique definition of semantic difference which is applicable to a large class of logic-based knowledge representation languages. The authors then proceed...

  4. 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.

  5. 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...

  6. 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.

  7. Knowledge Management for Large Scale Condition Based Maintenance

    Data.gov (United States)

    National Aeronautics and Space Administration — This presentation will review the use of knowledge management in the development and support of Condition Based Maintenance (CBM) systems for complex systems with...

  8. BUPT_PRIS at TREC 2014 Knowledge Base Acceleration Track

    Science.gov (United States)

    2014-11-01

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

  9. 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.

  10. 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

  11. From Data to Knowledge: GEOSS experience and the GEOSS Knowledge Base contribution to the GCI

    Science.gov (United States)

    Santoro, M.; Nativi, S.; Mazzetti, P., Sr.; Plag, H. P.

    2016-12-01

    According to systems theory, data is raw, it simply exists and has no significance beyond its existence; while, information is data that has been given meaning by way of relational connection. The appropriate collection of information, such that it contributes to understanding, is a process of knowledge creation.The Global Earth Observation System of Systems (GEOSS) developed by the Group on Earth Observations (GEO) is a set of coordinated, independent Earth observation, information and processing systems that interact and provide access to diverse information for a broad range of users in both public and private sectors. GEOSS links these systems to strengthen the monitoring of the state of the Earth. In the past ten years, the development of GEOSS has taught several lessons dealing with the need to move from (open) data to information and knowledge sharing. Advanced user-focused services require to move from a data-driven framework to a knowledge sharing platform. Such a platform needs to manage information and knowledge, in addition to datasets linked to them. For this scope, GEO has launched a specific task called "GEOSS Knowledge Base", which deals with resources, like user requirements, Sustainable Development Goals (SDGs), observation and processing ontologies, publications, guidelines, best practices, business processes/algorithms, definition of advanced concepts like Essential Variables (EVs), indicators, strategic goals, etc. In turn, information and knowledge (e.g. guidelines, best practices, user requirements, business processes, algorithms, etc.) can be used to generate additional information and knowledge from shared datasets. To fully utilize and leverage the GEOSS Knowledge Base, the current GEOSS Common Infrastructure (GCI) model will be extended and advanced to consider important concepts and implementation artifacts, such as data processing services and environmental/economic models as well as EVs, Primary Indicators, and SDGs. The new GCI model

  12. Keyword Query over Error-Tolerant Knowledge Bases

    Institute of Scientific and Technical Information of China (English)

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

    2016-01-01

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

  13. A Knowledge-Based Manufacturing System Using OSAM

    Science.gov (United States)

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

    1989-02-01

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

  14. A Mathematical Model for Non-monotonic Deposition Profiles in Deep Bed Filtration Systems

    DEFF Research Database (Denmark)

    Yuan, Hao; Shapiro, Alexander

    2011-01-01

    A mathematical model for suspension/colloid flow in porous media and non-monotonic deposition is proposed. It accounts for the migration of particles associated with the pore walls via the second energy minimum (surface associated phase). The surface associated phase migration is characterized...... by advection and diffusion/dispersion. The proposed model is able to produce a nonmonotonic deposition profile. A set of methods for estimating the modeling parameters is provided in the case of minimal particle release. The estimation can be easily performed with available experimental information...... condition for producing non-monotonic deposition profiles. The described physics by the additional equation may be different in different experimental settings....

  15. Model Based Fuzzy Expert System for Measuring Organization Knowledge Management

    Directory of Open Access Journals (Sweden)

    Houshang Taghizadeh

    2012-02-01

    Full Text Available This paper presents a model based on fuzzy set theory for determining the score of knowledge management in organization. The introduced model has five stages. In the first stage, input and output variable of model are characterized by available theories. Inputs are as follows: knowledge acquisition, knowledge storage, knowledge creation, knowledge sharing and knowledge transfer. The output is as follow score of knowledge management in organization. In the second stage, the input and output are converted into fuzzy numbers after classification. Inference rules are explained in the third stage. In the fourth stage, defuzzification is performed, and in the fifth stage, the devised system is tested. The test result shows that the presented model has high validity. Ultimately, by using the designed model, the score of knowledge management for Tabriz Kar machinery industry was calculated. The statistical population consists of 50 members of this organization. All the population has been studied. A questionnaire was devised, and its validity and reliability were confirmed. The result indicated that the score of knowledge management in Tabriz Kar machinery industry with the membership rank of 0.924 was at an average level and with the membership rank of 0.076 was at a high

  16. 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 in ...

  17. Non-monotonicity of trace distance under tensor products

    Energy Technology Data Exchange (ETDEWEB)

    Maziero, Jonas, E-mail: jonas.maziero@ufsm.br [Universidade Federal de Santa Maria (UFSM), RS (Brazil). Departamento de Fisica

    2015-10-15

    The trace distance (TD) possesses several of the good properties required for a faithful distance measure in the quantum state space. Despite its importance and ubiquitous use in quantum information science, one of its questionable features, its possible non-monotonicity under taking tensor products of its arguments (NMuTP), has been hitherto unexplored. In this article, we advance analytical and numerical investigations of this issue considering different classes of states living in a discrete and finite dimensional Hilbert space. Our results reveal that although this property of TD does not show up for pure states and for some particular classes of mixed states, it is present in a non-negligible fraction of the regarded density operators. Hence, even though the percentage of quartets of states leading to the NMuTP drawback of TD and its strength decrease as the system's dimension grows, this property of TD must be taken into account before using it as a figure of merit for distinguishing mixed quantum states. (author)

  18. EVALUATING HUMAN CAPITAL IN A KNOWLEDGEBASED APPROACH

    Directory of Open Access Journals (Sweden)

    Emanoil MUSCALU

    2014-04-01

    Full Text Available The widespread enthusiasm for a knowledge-based approach to understanding the nature of a business and the possible basis for sustained competitive advantage have renewed interest in human capital evaluation or measurement. While many attempts have been made to develop methods for measuring intellectual capital, none have been widely adopted in the business world. In the knowledge-based organizations, and generally, in the information society, human capital is recognized as the fundamental factor of overall progress, and experts agree that long-term investment in human capital has strong drive-propagation effects at the individual, organizational, national and global level. In this paper, we consider that a knowledge-based approach can offer new possibilities and answers to illustrate the importance of evaluation the human capital and knowledge assets by consistently generating added value in the business world.

  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. 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.

  1. 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.

  2. User-based and Cognitive Approaches to Knowledge Organization

    DEFF Research Database (Denmark)

    Hjørland, Birger

    2013-01-01

    In the 1970s and 1980s, forms of user-based and cognitive approaches to knowledge organization came to the forefront as part of the overall development in library and information science and in the broader society. The specific nature of userbased approaches is their basis in the empirical studies......’s PageRank are not based on the empirical studies of users. In knowledge organization, the Book House System is one example of a system based on user studies. In cognitive science the important WordNet database is claimed to be based on psychological research. This article considers such examples....... The role of the user is often confused with the role of subjectivity. Knowledge organization systems cannot be objective and must therefore, by implication, be based on some kind of subjectivity. This subjectivity should, however, be derived from collective views in discourse communities rather than...

  3. The latent structure of secure base script knowledge.

    Science.gov (United States)

    Waters, Theodore E A; Fraley, R Chris; Groh, Ashley M; Steele, Ryan D; Vaughn, Brian E; Bost, Kelly K; Veríssimo, Manuela; Coppola, Gabrielle; Roisman, Glenn I

    2015-06-01

    There is increasing evidence that attachment representations abstracted from childhood experiences with primary caregivers are organized as a cognitive script describing secure base use and support (i.e., the secure base script). To date, however, the latent structure of secure base script knowledge has gone unexamined-this despite that such basic information about the factor structure and distributional properties of these individual differences has important conceptual implications for our understanding of how representations of early experience are organized and generalized, as well as methodological significance in relation to maximizing statistical power and precision. In this study, we report factor and taxometric analyses that examined the latent structure of secure base script knowledge in 2 large samples. Results suggested that variation in secure base script knowledge-as measured by both the adolescent (N = 674) and adult (N = 714) versions of the Attachment Script Assessment-is generalized across relationships and continuously distributed.

  4. A Natural Language Interface Concordant with a Knowledge Base.

    Science.gov (United States)

    Han, Yong-Jin; Park, Seong-Bae; Park, Se-Young

    2016-01-01

    The discordance between expressions interpretable by a natural language interface (NLI) system and those answerable by a knowledge base is a critical problem in the field of NLIs. In order to solve this discordance problem, this paper proposes a method to translate natural language questions into formal queries that can be generated from a graph-based knowledge base. The proposed method considers a subgraph of a knowledge base as a formal query. Thus, all formal queries corresponding to a concept or a predicate in the knowledge base can be generated prior to query time and all possible natural language expressions corresponding to each formal query can also be collected in advance. A natural language expression has a one-to-one mapping with a formal query. Hence, a natural language question is translated into a formal query by matching the question with the most appropriate natural language expression. If the confidence of this matching is not sufficiently high the proposed method rejects the question and does not answer it. Multipredicate queries are processed by regarding them as a set of collected expressions. The experimental results show that the proposed method thoroughly handles answerable questions from the knowledge base and rejects unanswerable ones effectively.

  5. Managing Project Landscapes in Knowledge-Based Enterprises

    Science.gov (United States)

    Stantchev, Vladimir; Franke, Marc Roman

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

  6. 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...

  7. 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.

  8. 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.

  9. ONTOLOGY BASED SEMANTIC KNOWLEDGE REPRESENTATION FOR SOFTWARE RISK MANAGEMENT

    Directory of Open Access Journals (Sweden)

    C.R.Rene Robin

    2010-10-01

    Full Text Available Domain specific knowledge representation is achieved through the use of ontologies. The ontology model of software risk management is an effective approach for the intercommunion between people from teaching and learning community, the communication and interoperation among various knowledge oriented applications, and the share and reuse of the software. But the lack of formal representation tools for domain modeling results in taking liberties with conceptualization. This paper narrates an ontology based semantic knowledge representation mechanism and the architecture we proposed has been successfully implemented for the domain software riskmanagement.

  10. Spark, an application based on Serendipitous Knowledge Discovery.

    Science.gov (United States)

    Workman, T Elizabeth; Fiszman, Marcelo; Cairelli, Michael J; Nahl, Diane; Rindflesch, Thomas C

    2016-04-01

    Findings from information-seeking behavior research can inform application development. In this report we provide a system description of Spark, an application based on findings from Serendipitous Knowledge Discovery studies and data structures known as semantic predications. Background information and the previously published IF-SKD model (outlining Serendipitous Knowledge Discovery in online environments) illustrate the potential use of information-seeking behavior in application design. A detailed overview of the Spark system illustrates how methodologies in design and retrieval functionality enable production of semantic predication graphs tailored to evoke Serendipitous Knowledge Discovery in users.

  11. 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

  12. Infeasible-interior-point algorithm for a class of nonmonotone complementarity problems and its computational complexity

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    This paper presents an infeasible-interior-point algorithm for aclass of nonmonotone complementarity problems, and analyses its convergence and computational complexity. The results indicate that the proposed algorithm is a polynomial-time one.

  13. Periodic Solutions of Periodic Delay Predator-Prey System with Nonmonotonic Functional Response

    Institute of Scientific and Technical Information of China (English)

    宋永利; 韩茂安

    2003-01-01

    By using the continuation theorem of coincidence degree theory, sufficient conditions are obtained for theexistence of positive periodic solutions of a delayed predator-prey system with nonmonotonic functional response ina periodic environment.

  14. 3cixty: Building comprehensive knowledge bases for city exploration

    OpenAIRE

    Troncy, Raphaël; Rizzo, Giuseppe; Jameson, Anthony; Corcho, Oscar; Plu, Julien; Palumbo, Enrico; Ballesteros Hermida, Juan Carlos; Spirescu, Adrian; Kuhn, Kai-Dominik; Barbu, Catalin; Rossi, Matteo; Celino, Irene; Agarwal, Rachit; Scanu, Christian; Valla, Massimo

    2017-01-01

    International audience; Planning a visit to Expo Milano 2015 or simply touring in Milan are activities that require a certain amount of a priori knowledge of the city. In this paper, we present the process of building such comprehensive knowledge bases that contain descriptions of events and activities, places and sights, transportation facilities as well as social activities, collected from numerous static, near-and real-time local and global data providers, including hyper local sources suc...

  15. Knowledge discovery based on experiential learning corporate culture management

    Science.gov (United States)

    Tu, Kai-Jan

    2014-10-01

    A good corporate culture based on humanistic theory can make the enterprise's management very effective, all enterprise's members have strong cohesion and centripetal force. With experiential learning model, the enterprise can establish an enthusiastic learning spirit corporate culture, have innovation ability to gain the positive knowledge growth effect, and to meet the fierce global marketing competition. A case study on Trend's corporate culture can offer the proof of industry knowledge growth rate equation as the contribution to experiential learning corporate culture management.

  16. Multiple periodic solutions of a delayed predator-prey model with non-monotonic functional response and stage structure.

    Science.gov (United States)

    Liu, Yingyuan; Zhang, Xiaolan; Zhou, Tiejun

    2014-01-01

    The paper studies a periodic and delayed predator-prey system with non-monotonic functional responses and stage structure. In the system, both the predator and prey are divided into immature individuals and mature individuals by two fixed ages. It is assumed that the immature predators cannot attack preys, and the case of the mature predators attacking the immature preys is also ignored. Based on Mawhin's coincidence degree, sufficient conditions are obtained for the existence of two positive periodic solutions of the system. An example is presented to illustrate the feasibility of the main results.

  17. User-based and Cognitive Approaches to Knowledge Organization

    DEFF Research Database (Denmark)

    Hjørland, Birger

    2013-01-01

    In the 1970s and 1980s, forms of user-based and cognitive approaches to knowledge organization came to the forefront as part of the overall development in library and information science and in the broader society. The specific nature of userbased approaches is their basis in the empirical studies...... of users or the principle that users need to be involved in the construction of knowledge organization systems. It might seem obvious that user-friendly systems should be designed on user studies or user involvement, but extremely successful systems such as Apple’s iPhone, Dialog’s search system and Google......’s PageRank are not based on the empirical studies of users. In knowledge organization, the Book House System is one example of a system based on user studies. In cognitive science the important WordNet database is claimed to be based on psychological research. This article considers such examples...

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

    Science.gov (United States)

    Ramstein, G; Bernadet, M

    1993-01-01

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

  19. 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.

  20. 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...... are reviewed in the paper and found rather unconvincing. Work within both paradigms is also reviewed and problems encountered under both approaches discussed. The analysis concludes with a recommendation of preserving the notion of types but in a form that avoids rigidity, and with hints at how certain...

  1. 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.

  2. Ontology based Knowledge Management for Administrative Processes of University

    Directory of Open Access Journals (Sweden)

    Anand Kumar

    2015-07-01

    Full Text Available Knowledge management is a challenging task especially in administrative processes with a typical workflow such as higher educational institutions and Universities. We have proposed a system aSPOCMS (An Agent-based Semantic Web for Paperless Office Content Management System that aims at providing paperless environment for the typical workflows of the universities, which requires ontology based knowledge management to manage the files and documents of various departments and sections of a university. In Semantic Web, Ontology describes the concepts, relationships among the concepts and properties within their domain. It provides automatic inferring and interoperability between applications which is an appropriate vision for knowledge management. In this paper we discussed, how Semantic Web technology can be utilized in higher educational institution for knowledge representation of various resources and handling the task of administrative processes. This requires exploitation of knowledge of various resources such as department, school, section, file and employee etc. of the University by aSPOCMS which is built as an agent-based system using the ontology for communication between agent, user and for knowledge representation and management.

  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. Developing and Assessing Teachers' Knowledge of Game-Based Learning

    Science.gov (United States)

    Shah, Mamta; Foster, Aroutis

    2015-01-01

    Research focusing on the development and assessment of teacher knowledge in game-based learning is in its infancy. A mixed-methods study was undertaken to educate pre-service teachers in game-based learning using the Game Network Analysis (GaNA) framework. Fourteen pre-service teachers completed a methods course, which prepared them in game…

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

    NARCIS (Netherlands)

    de Graaff, V.; van de Venis, Anne; van Keulen, Maurice; de By, R.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

  6. Knowledge Automatic Indexing Based on Concept Lexicon and Segmentation Algorithm

    Institute of Scientific and Technical Information of China (English)

    WANG Lan-cheng; JIANG Dan; LE Jia-jin

    2005-01-01

    This paper is based on two existing theories about automatic indexing of thematic knowledge concept. The prohibit-word table with position information has been designed. The improved Maximum Matching-Minimum Backtracking method has been researched. Moreover it has been studied on improved indexing algorithm and application technology based on rules and thematic concept word table.

  7. Developing and Assessing Teachers' Knowledge of Game-Based Learning

    Science.gov (United States)

    Shah, Mamta; Foster, Aroutis

    2015-01-01

    Research focusing on the development and assessment of teacher knowledge in game-based learning is in its infancy. A mixed-methods study was undertaken to educate pre-service teachers in game-based learning using the Game Network Analysis (GaNA) framework. Fourteen pre-service teachers completed a methods course, which prepared them in game…

  8. Case-based approaches for knowledge application and organisational learning

    DEFF Research Database (Denmark)

    Wang, Chengbo; Johansen, John; Luxhøj, James T.

    2005-01-01

    . These practices and activity patterns are based on learning and applying the knowledge internal and external to an organisation. To ensure their smooth formulation process, there are two important techniques designed – an expert adaptation approach and an expert evaluation approach. These two approaches provide...... structured processes to execute the organisational learning and knowledge application, which intend to guide the practitioners during the process of manufacturing competence development and improvement. They are based on Case-Based Reasoning (CBR) methodology and rely on cases as the primary knowledge supply....... This paper aims to present the two approaches; introduce two types of tests on these approaches to verify their functionality: role-play testing and real world application testing; and summarises the applicability of the two approaches....

  9. A Systems-Science-Based Knowledge Explanation Method

    Institute of Scientific and Technical Information of China (English)

    李膺春

    2001-01-01

    es for analyzing, understanding, reforming and perfecting theobjective world. This paper presents a Systems-Science-Based Knowledge Model (SSBKM) to establish a more general knowledge structure model. It can be regarded as a development of frame representation for discovering and constructing slot structures as well as the frame structures. With this model the paper also presents a System-Sciences-Based Object-Oriented Analysis method (SSBOOA), which is a strategy to find and determine object classes and class structures, the relations between object instances of different classes, not to just explain classes. Finally, the paper illustrates knowledge analysis and computerizing (synthesizing) steps in an example of SSBKM of cognitive psychology-based CAI Network for Teaching Middle School Mathematics.

  10. Knowledge Access Based on the Rough Set Theory

    Institute of Scientific and Technical Information of China (English)

    HAN Yan-ling; YANG Bing-ru; CAO Shou-qi

    2005-01-01

    During the procedure of fault diagnosis for large-scale complicated equipment, the existence of redundant and fuzzy information results in the difficulty of knowledge access. Aiming at this characteristic, this paper brought forth the Rough Set (RS) theory to the field of fault diagnosis. By means of the RS theory which is predominant in the way of dealing with fuzzy and uncertain information,knowledge access about fault diagnosis was realized. The foundation ideology of the RS theory was exhausted in detail, an amended RS algorithm was proposed, and the process model of knowledge access based on the amended RS algorithm was researched. Finally, we verified the correctness and the practicability of this method during the procedure of knowledge access.

  11. Semantics-based plausible reasoning to extend the knowledge coverage of medical knowledge bases for improved clinical decision support.

    Science.gov (United States)

    Mohammadhassanzadeh, Hossein; Van Woensel, William; Abidi, Samina Raza; Abidi, Syed Sibte Raza

    2017-01-01

    Capturing complete medical knowledge is challenging-often due to incomplete patient Electronic Health Records (EHR), but also because of valuable, tacit medical knowledge hidden away in physicians' experiences. To extend the coverage of incomplete medical knowledge-based systems beyond their deductive closure, and thus enhance their decision-support capabilities, we argue that innovative, multi-strategy reasoning approaches should be applied. In particular, plausible reasoning mechanisms apply patterns from human thought processes, such as generalization, similarity and interpolation, based on attributional, hierarchical, and relational knowledge. Plausible reasoning mechanisms include inductive reasoning, which generalizes the commonalities among the data to induce new rules, and analogical reasoning, which is guided by data similarities to infer new facts. By further leveraging rich, biomedical Semantic Web ontologies to represent medical knowledge, both known and tentative, we increase the accuracy and expressivity of plausible reasoning, and cope with issues such as data heterogeneity, inconsistency and interoperability. In this paper, we present a Semantic Web-based, multi-strategy reasoning approach, which integrates deductive and plausible reasoning and exploits Semantic Web technology to solve complex clinical decision support queries. We evaluated our system using a real-world medical dataset of patients with hepatitis, from which we randomly removed different percentages of data (5%, 10%, 15%, and 20%) to reflect scenarios with increasing amounts of incomplete medical knowledge. To increase the reliability of the results, we generated 5 independent datasets for each percentage of missing values, which resulted in 20 experimental datasets (in addition to the original dataset). The results show that plausibly inferred knowledge extends the coverage of the knowledge base by, on average, 2%, 7%, 12%, and 16% for datasets with, respectively, 5%, 10%, 15%, and

  12. Cultural and Rhetorical Bases for communicating knowledge in web based communities

    DEFF Research Database (Denmark)

    Kampf, Constance; Kommers, Piet

    2008-01-01

    Cultural and Rhetorical Bases for communicating knowledge in web based communities How can we extend learner-centred theories for educational technology to include, for instance, the cultural and rhetorical backgrounds which influence participants in online communities as they engage in knowledge...... via web-based communities the intersection of culture and rhetoric in web-based communication rhetoric and discourse in the process of communicating knowledge via technology heuristics for knowledge communication from teaching in online forums connections between identity and knowledge communication...

  13. 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.

  14. Document Retrieval Using A Fuzzy Knowledge-Based System

    Science.gov (United States)

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

    1986-03-01

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

  15. Literature-based knowledge discovery: the state of the art

    CERN Document Server

    Liu, Xiaoyong

    2012-01-01

    Literature-based knowledge discovery method was introduced by Dr. Swanson in 1986. He hypothesized a connection between Raynaud's phenomenon and dietary fish oil, the field of literature-based discovery (LBD) was born from then on. During the subsequent two decades, LBD's research attracts some scientists including information science, computer science, and biomedical science, etc.. It has been a part of knowledge discovery and text mining. This paper summarizes the development of recent years about LBD and presents two parts, methodology research and applied research. Lastly, some problems are pointed as future research directions.

  16. On PID Controller Design Using Knowledge Based Fuzzy System

    Directory of Open Access Journals (Sweden)

    Jana Nowakova

    2012-01-01

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

  17. Data bases and knowledge representation for literary and linguistic studies

    Energy Technology Data Exchange (ETDEWEB)

    Cercone, N.; Goebel, R.

    1983-09-01

    In the design or selection of a computing system for literary and linguistic applications, an important consideration is the data base management methodology. Researchers can use either conventional data base management or data base management methods developed by specialists in artificial intelligence knowledge representation. For their stylistic and content analyses of text construction of vocabularies and language data banks, and interlanguage translation, the capabilities demanded of the data management system may vary substantially. The authors discuss and compare various suitable databases. 91 references.

  18. Problem-Oriented Corporate Knowledge Base Models on the Case-Based Reasoning Approach Basis

    Science.gov (United States)

    Gluhih, I. N.; Akhmadulin, R. K.

    2017-07-01

    One of the urgent directions of efficiency enhancement of production processes and enterprises activities management is creation and use of corporate knowledge bases. The article suggests a concept of problem-oriented corporate knowledge bases (PO CKB), in which knowledge is arranged around possible problem situations and represents a tool for making and implementing decisions in such situations. For knowledge representation in PO CKB a case-based reasoning approach is encouraged to use. Under this approach, the content of a case as a knowledge base component has been defined; based on the situation tree a PO CKB knowledge model has been developed, in which the knowledge about typical situations as well as specific examples of situations and solutions have been represented. A generalized problem-oriented corporate knowledge base structural chart and possible modes of its operation have been suggested. The obtained models allow creating and using corporate knowledge bases for support of decision making and implementing, training, staff skill upgrading and analysis of the decisions taken. The universal interpretation of terms “situation” and “solution” adopted in the work allows using the suggested models to develop problem-oriented corporate knowledge bases in different subject domains. It has been suggested to use the developed models for making corporate knowledge bases of the enterprises that operate engineer systems and networks at large production facilities.

  19. 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.

  20. Towards an Age-Phenome Knowledge-base

    Directory of Open Access Journals (Sweden)

    Rubin Eitan

    2011-06-01

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

  1. 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.

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

    Directory of Open Access Journals (Sweden)

    Dorel PARASCHIV

    2008-01-01

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

  3. Ontology-supported and XML-based knowledge description language

    Institute of Scientific and Technical Information of China (English)

    王向华; 覃征; 何坚; 王志敏

    2004-01-01

    Differences in the structure and semantics of knowledge that is created and maintained by the various actors on the World Wide Web make its exchange and utilization a problematic task. This is an important issue facing organizations undertaking knowledge management initiatives. An XML-based and ontology-supported knowledge description language (KDL) is presented, which has three-tier structure (core KDL, extended KDL and complex KDL), and takes advantages of strong point of ontology, XML, description logics, frame-based systems. And then, the framework and XMLbased syntax of KDL are introduced, and the methods of translating KDL into first order logic (FOL) are presented. At last, the implementation of KDL on the Web is described, and the reasoning ability of KDL proved by experiment is illustrated in detail.

  4. Knowledge Representation in KDD Based on Linguistic Atoms

    Institute of Scientific and Technical Information of China (English)

    李德毅

    1997-01-01

    An important issue in Knowledge Discovery in Databases is to allo the discovered knowledge to be as close as possible to natural languages to satisfy user needs with tractability on one hand,and to offer KDD systems robustness on the other hand.At this junction,this paper describes a new concept of linguistic atoms with three digital characteristics:expected value Ex,entropy En,anddeviation D.The mathematical description has effectively integrated the fuzziness and randomness of linguistic terms in a unified way.Based on this model a method of knowledge representation in KDD is developed which bridges the gap between quantitative knowledge and qualitative knowledge.Mapping between quantitatives and qualitatives becomes much easier and interchangeable.In order to discover generalized knowledge from a database,one may use virtual linguistic terms and cloud transforms for the auto-generation of concept hierarchies to attributes.Predictive data mining with the cloud model is given for implementation.This further illustrates the advantages of this linguistic model in KDD.

  5. Community Education and Evidence-based Knowledge Use

    Directory of Open Access Journals (Sweden)

    N mohaghegh

    2015-09-01

    Full Text Available Introduction: Utilizing as well as transferring knowledge can be provided via motivating teachers, educating researchers, better utilizing of evidence and creating communication between members of the scientific communities based on the needs of the community and community education. Therefore, the present study mainly aimed at evaluating the process of knowledge production and use of evidence in the research centres of Tehran and Iran University of Medical Sciences. Moreover, this study intended to investigate its application in improving the health system and community education of students.   Methods: In this descriptive cross-sectional study, the study population finally consisted of 68 research centres affiliated to Tehran and Iran University of Medical Sciences. In order to glean the study data, a questionnaire was utilized by Nejat et al. in two fields of “knowledge production” and “promote using of evidence”, and the study data were analyzed using SPSS (version 18.   Results: The production and use of knowledge status in Tehran and Iran medical universities in regard with “knowledge and evidence production” used in decision-making was reported in a favourable condition. Moreover, an unfavourable condition was revealed regarding “promoting use of evidence” which needs proper intervention.   Conclusion: The study finding revealed that at the beginning of the formulation of each research, identifying the specific audience of the study results causes the produced evidence and knowledge to be applicable. This leads to conducting research in accordance with the needs of community. As a result, status of medical universities in Iran necessitates to be reviewed. Ameliorating production status and promoting evidence-based knowledge can lead to a significant qualitative development in community education.

  6. 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.

  7. Knowledge model-based decision support system for maize management

    Institute of Scientific and Technical Information of China (English)

    GUO Yinqiao; ZHAO Chuande; WANG Wenxin; LI Cundong

    2007-01-01

    Based on the relationship between crops and circumstances,a dynamic knowledge model for maize management with wide applicability was developed using the system method and mathematical modeling technique.With soft component characteristics incorporated,a component and digital knowledge model-based decision support system for maize management was established on the Visual C++platform.This system realized six major functions:target yield calculation,design of pre-sowing plan,prediction of regular indices,real-time management control,expert knowledge reference and system administration.Cases were studied on the target yield knowledge model with data sets that include different eco-sites,yield levels of the last three years,and fertilizer and water management levels.The results indicated that this system overcomes the shortcomings of traditional expert systems and planting patterns,such as sitespecific conditions and narrow applicability,and can be used more under different conditions and environments.This system provides a scientific knowledge system and a broad decision-making tool for maize management.

  8. Knowledge-based simulation using object-oriented programming

    Science.gov (United States)

    Sidoran, Karen M.

    1993-01-01

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

  9. Web-Based Learning as a Tool of Knowledge Continuity

    Science.gov (United States)

    Jaaman, Saiful Hafizah; Ahmad, Rokiah Rozita; Rambely, Azmin Sham

    2013-01-01

    The outbreak of information in a borderless world has prompted lecturers to move forward together with the technological innovation and erudition of knowledge in performing his/her responsibility to educate the young generations to be able to stand above the crowd at the global scene. Teaching and Learning through web-based learning platform is a…

  10. Value Creation in the Knowledge-Based Economy

    Science.gov (United States)

    Liu, Fang-Chun

    2013-01-01

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

  11. Language-Based Prior Knowledge and Transition to Mathematics

    Science.gov (United States)

    Dogan-Dunlap, Hamide; Torres, Cristina; Chen, Fan

    2005-01-01

    The paper provides a college mathematics student's concept maps, definitions, and essays to support the thesis that language-based prior knowledge can influence students' cognitive processes of mathematical concepts. A group of intermediate algebra students who displayed terms mainly from the spoken language on the first and the second concept…

  12. Scientific publications in XML - towards a global knowledge base

    Directory of Open Access Journals (Sweden)

    Peter Murray-Rust

    2006-01-01

    Full Text Available Recent developments on the World-Wide Web provide an unparalleled opportunity to revolutionise scientific, technical and medical publication. The technology exists for the scientific world to use primary publication to create a knowledge base, or Semantic Web, with a potential greatly beyond the paper archives and electronic databases of today.

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

    OpenAIRE

    Pertti Hurme

    2005-01-01

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

  14. Designing a Knowledge Base for Automatic Book Classification.

    Science.gov (United States)

    Kim, Jeong-Hyen; Lee, Kyung-Ho

    2002-01-01

    Reports on the design of a knowledge base for an automatic classification in the library science field by using the facet classification principles of colon classification. Discusses inputting titles or key words into the computer to create class numbers through automatic subject recognition and processing title key words. (Author/LRW)

  15. SCU at TREC 2014 Knowledge Base Acceleration Track

    Science.gov (United States)

    2014-11-01

    SCU at TREC 2014 Knowledge Base Acceleration Track Hung Nguyen, Yi Fang Department of Computer Engineering Santa Clara University 500 El Camino ...University,Department of Computer Engineering,500 El Camino Real,Santa Clara,CA,95053 8. PERFORMING ORGANIZATION REPORT NUMBER 9. SPONSORING

  16. Knowledge Utilization in Projects – a Practice-based

    DEFF Research Database (Denmark)

    Thuesen, Christian

    Drawing upon Practice-based theorizing in general and Actor Network Theory and theories of Communities of Practices in particular the paper develops an analytical strategy for understanding “life” in projects. The analytical strategy is applied on empirical material from an 18-month ethnographic...... analysis and discussion of the utilization of knowledge in the project....

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

    Science.gov (United States)

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

    2008-01-01

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

  18. The Underdetermined Knowledge-Based Theory of the MNC

    DEFF Research Database (Denmark)

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

    2011-01-01

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

  19. 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...

  20. 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.

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

    Directory of Open Access Journals (Sweden)

    Anderson Cárdenas

    2009-12-01

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

  2. A Description Logic Based Knowledge Representation Model for Concept Understanding

    DEFF Research Database (Denmark)

    Badie, Farshad

    2018-01-01

    This research employs Description Logics in order to focus on logical description and analysis of the phenomenon of ‘concept understanding’. The article will deal with a formal-semantic model for figuring out the underlying logical assumptions of ‘concept understanding’ in knowledge representation...... systems. In other words, it attempts to describe a theoretical model for concept understanding and to reflect the phenomenon of ‘concept understanding’ in terminological knowledge representation systems. Finally, it will design an ontology that schemes the structure of concept understanding based...

  3. 'Medical Knowledge' and 'Tradition' of Colonial Korea: Focused on Kudo's "Gynecology"-based Knowledge.

    Science.gov (United States)

    Hong, Yang Hee

    2013-08-01

    This article attempts to illuminate the ways in which Kudo's medical knowledge based on 'gynecological science' constructed the cultural 'traditions' of colonial Korea. Kudo appears to have been quite an influential figure in colonial Korea in that his writings on the relationship between women's crime, gynecological science and the Chosŏn society granted a significant amount of intellectual authority. Here, I examine Kudo's position within colonial Korea as a producer and propagator of medical knowledge, and then see how women's bodies were understood according to his gynecological knowledge. It also traces the ways in which Kudo's gynecological knowledge represents Chosŏn society and in turn invents the 'traditions' of Chosŏn. Kudo's knowledge of "gynecology" which had been formed while it traveled the states such as Japan, Germany and France served as an important reference for his representation of colonial Korean society. Kudo was a proponent of biological evolution, particularly the rules of 'atavism' put forth by the criminal anthropologist Cesare Lombroso, and argued that an unique social environment caused 'alteration of sexual urges' and primitive cruelty in Chosŏn women. According to Kudo, The social environment was none other than the practice of 'early marriage,' which went against the physiology of women. To Kudo, 'early marriage' was an old 'tradition' of Chosŏn and the cause of heinous crimes, as well as an unmistakable indicator of both the primitiveness and savageness of Chosŏn. While Lombroso considered personal factors such as stress as the cause of women's crimes, Kudo saw Chosŏn women's crimes as a national characteristic. Moreover, he compared the occurrence rate of husband murders by provinces, based on which he categorized the northern population of Chosŏn as barbaric Manchurian and the southern population as the superior Japanese, a combination of racism and scientific knowledge. Kudo's writings provide an insight into the

  4. The Influence of Self-Regulated Learning and Prior Knowledge on Knowledge Acquisition in Computer-Based Learning Environments

    Science.gov (United States)

    Bernacki, Matthew

    2010-01-01

    This study examined how learners construct textbase and situation model knowledge in hypertext computer-based learning environments (CBLEs) and documented the influence of specific self-regulated learning (SRL) tactics, prior knowledge, and characteristics of the learner on posttest knowledge scores from exposure to a hypertext. A sample of 160…

  5. 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.

  6. Predicting links based on knowledge dissemination in complex network

    Science.gov (United States)

    Zhou, Wen; Jia, Yifan

    2017-04-01

    Link prediction is the task of mining the missing links in networks or predicting the next vertex pair to be connected by a link. A lot of link prediction methods were inspired by evolutionary processes of networks. In this paper, a new mechanism for the formation of complex networks called knowledge dissemination (KD) is proposed with the assumption of knowledge disseminating through the paths of a network. Accordingly, a new link prediction method-knowledge dissemination based link prediction (KDLP)-is proposed to test KD. KDLP characterizes vertex similarity based on knowledge quantity (KQ) which measures the importance of a vertex through H-index. Extensive numerical simulations on six real-world networks demonstrate that KDLP is a strong link prediction method which performs at a higher prediction accuracy than four well-known similarity measures including common neighbors, local path index, average commute time and matrix forest index. Furthermore, based on the common conclusion that an excellent link prediction method reveals a good evolving mechanism, the experiment results suggest that KD is a considerable network evolving mechanism for the formation of complex networks.

  7. 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.

  8. Analysis of the relation between knowledge engineering and knowledge management based on the Nonaka and Takeuchi models

    Directory of Open Access Journals (Sweden)

    Christian Reyes

    2007-07-01

    Full Text Available The use of the Knowledge Management is fundamental in the creation of value within the companies, being at the present time a new form to obtain competitive advantages in specific market. Also, for the process of value creation is necessary to use specifics Information Technologies that they allow to reach the objectives drawn up when implementing a Knowledge Management project. In this sense, one of the more complete and efficient Information Technologies is the Knowledge Based System that as well comprises of the Knowledge Engineering. This article tries to analyze the existing relation between Knowledge Management, a specific model of knowledge creation, the Knowledge Based System and how this Information Technologies play a very important role in the creation, codification and transference of knowledge.

  9. THE NECESSITY TO PROMOVION THE MANAGEMENT BASED ON KNOWLEDGE

    Directory of Open Access Journals (Sweden)

    Sirbu Mirela

    2008-05-01

    Full Text Available Taking into consideration the current conditions, in which “information is often assimilated with power” the major interest for most organizations stands in collecting the necessary knowledge at a high qualitative level and using it with maximum efficiency, through its materialization into adequate managerial conducts, actions and decisions. Together with the assurance of the material, human resources, both international and financial, the performing organizations are more and more preoccupied by the production, transmitting, usage, depositing and protection of knowledge, especially of the strategic ones, essential for the companies’ development. The information became more and more a resource, a major asset, a main product and at the same time a strategic advantage for organizations, fact that has a significant influence over the content and the way of manifestation of the management, imposing with acuteness the promotion of the management based on knowledge.

  10. Building the knowledge base for environmental action and sustainability

    DEFF Research Database (Denmark)

    2015-01-01

    Knowledge is power” (Sir Francis Bacon (1561 – 1626), Religious Meditations, Of Heresis, 1597) “Science is organised knowledge. Wisdom is organised life” (Immanuel Kant (1724 – 1804)) The 29th International Conference on Informatics for Environmental Protection and the third International...... 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...

  11. 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.

  12. A Network Based Methodology to Reveal Patterns in Knowledge Transfer

    Directory of Open Access Journals (Sweden)

    Orlando López-Cruz

    2015-12-01

    Full Text Available This paper motivates, presents and demonstrates in use a methodology based in complex network analysis to support research aimed at identification of sources in the process of knowledge transfer at the interorganizational level. The importance of this methodology is that it states a unified model to reveal knowledge sharing patterns and to compare results from multiple researches on data from different periods of time and different sectors of the economy. This methodology does not address the underlying statistical processes. To do this, national statistics departments (NSD provide documents and tools at their websites. But this proposal provides a guide to model information inferences gathered from data processing revealing links between sources and recipients of knowledge being transferred and that the recipient detects as main source to new knowledge creation. Some national statistics departments set as objective for these surveys the characterization of innovation dynamics in firms and to analyze the use of public support instruments. From this characterization scholars conduct different researches. Measures of dimensions of the network composed by manufacturing firms and other organizations conform the base to inquiry the structure that emerges from taking ideas from other organizations to incept innovations. These two sets of data are actors of a two- mode-network. The link between two actors (network nodes, one acting as the source of the idea. The second one acting as the destination comes from organizations or events organized by organizations that “provide” ideas to other group of firms. The resulting demonstrated design satisfies the objective of being a methodological model to identify sources in knowledge transfer of knowledge effectively used in innovation.

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

    Science.gov (United States)

    Ferrada, Ximena; Serpell, Alfredo; Skibniewski, Miroslaw

    2013-01-01

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

  14. 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.

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

    Science.gov (United States)

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

    2016-09-01

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

  16. Technical aspects of internet-based knowledge presentation in radiotherapy.

    Science.gov (United States)

    Lütttgau, A; Bendl, R

    2001-01-01

    Three-dimensional radiotherapy planning is a complex and time-consuming optimization process which requires much experience. To simplify and to speed up the process of treatment planning as well as to exchange experience and therapeutic knowledge, the department of Medical Physics at the German Cancer Research Centre (DKFZ) in Heidelberg is developing an Internet-based 3D Radiotherapy planning and Information System (IRIS). IRIS designed internet-based client-server application, implemented using Java, CORBA and PVM. The concept of IRIS combines the functionality of an interactive tutorial with a discussion forum, teleconferencing tool and an atlas of dose distributions. Furthermore an integral knowledge-based system provides automatically generated, preoptimized treatment plans. This paper explains the technical design of the system and gives an overview of experiences gained by the technical realization of a first prototype using currently available internet technology. The prototype is currently running for testing in the intranet of DKFZ.

  17. 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.

  18. Knowledges

    DEFF Research Database (Denmark)

    Berling, Trine Villumsen

    2012-01-01

    and reflectivism. Bourdieu, on the contrary, lets the challenge to the theory/reality distinction spill over into a challenge to the theory/practice distinction by thrusting the scientist in the foreground as not just a factor (discourse/genre) but as an actor. In this way, studies of IR need to include a focus......Scientific knowledge in international relations has generally focused on an epistemological distinction between rationalism and reflectivism over the last 25 years. This chapter argues that this distinction has created a double distinction between theory/reality and theory/practice, which works...... as a ghost distinction structuring IR research. While reflectivist studies have emphasised the impossibility of detached, objective knowledge production through a dissolution of the theory/reality distinction, the theory/practice distinction has been left largely untouched by both rationalism...

  19. Equilibrium oxygen storage capacity of ultrathin CeO2-δ depends non-monotonically on large biaxial strain

    Science.gov (United States)

    Balaji Gopal, Chirranjeevi; García-Melchor, Max; Lee, Sang Chul; Shi, Yezhou; Shavorskiy, Andrey; Monti, Matteo; Guan, Zixuan; Sinclair, Robert; Bluhm, Hendrik; Vojvodic, Aleksandra; Chueh, William C.

    2017-05-01

    Elastic strain is being increasingly employed to enhance the catalytic properties of mixed ion-electron conducting oxides. However, its effect on oxygen storage capacity is not well established. Here, we fabricate ultrathin, coherently strained films of CeO2-δ between 5.6% biaxial compression and 2.1% tension. In situ ambient pressure X-ray photoelectron spectroscopy reveals up to a fourfold enhancement in equilibrium oxygen storage capacity under both compression and tension. This non-monotonic variation with strain departs from the conventional wisdom based on a chemical expansion dominated behaviour. Through depth profiling, film thickness variations and a coupled photoemission-thermodynamic analysis of space-charge effects, we show that the enhanced reducibility is not dominated by interfacial effects. On the basis of ab initio calculations of oxygen vacancy formation incorporating defect interactions and vibrational contributions, we suggest that the non-monotonicity arises from the tetragonal distortion under large biaxial strain. These results may guide the rational engineering of multilayer and core-shell oxide nanomaterials.

  20. 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

  1. 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

  2. Knowledge based systems as an aid in information systems audit

    Directory of Open Access Journals (Sweden)

    Rodrigo Arturo Proaño Escalante

    2017-02-01

    Full Text Available One of the problems that the IT auditor has when expressing an opinion about a finding is the subjectivity that can be due to many aspects, among the main ones: emotional, technical skills or abilities with which this opinion can be right or wrong. This is a major problem because the audit report issued may have distortions of the facts. On the other hand, the development of the expert systems involves capturing the knowledge of the human and transferring it to a computer program in which all the characteristics of this knowledge are emulated and considering a group of rules, the system can make decisions as a human does. Advances in artificial intelligence over the last few years have led to the development of these knowledge-based systems increasing and the results obtained are more real. The use of these systems presents a promising future in the field of computer audit. The objective of this article is to give a general idea of the characterization and use of knowledge based systems, the way they are implemented and their application to the audit of information systems as a tool to help the opinion issue at the moment of realization of an audit.

  3. 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.

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

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

    Directory of Open Access Journals (Sweden)

    Mohammad AL-Smadi

    2016-06-01

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

  6. A Bivariate Pseudo-Likelihood for Incomplete Longitudinal Binary Data with Nonignorable Non-monotone Missingness

    Science.gov (United States)

    Sinha, Sanjoy K.; Troxel, Andrea B.; Lipsitz, Stuart R.; Sinha, Debajyoti; Fitzmaurice, Garrett M.; Molenberghs, Geert; Ibrahim, Joseph G.

    2010-01-01

    Summary For analyzing longitudinal binary data with nonignorable and non-monotone missing responses, a full likelihood method is complicated algebraically, and often requires intensive computation, especially when there are many follow-up times. As an alternative, a pseudo-likelihood approach has been proposed in the literature under minimal parametric assumptions. This formulation only requires specification of the marginal distributions of the responses and missing data mechanism, and uses an independence working assumption. However, this estimator can be inefficient for estimating both time-varying and time-stationary effects under moderate to strong within-subject associations among repeated responses. In this article, we propose an alternative estimator, based on a bivariate pseudo-likelihood, and demonstrate in simulations that the proposed method can be much more efficient than the previous pseudo-likelihood obtained under the assumption of independence. We illustrate the method using longitudinal data on CD4 counts from two clinical trials of HIV-infected patients. PMID:21155748

  7. Dynamical Behaviors of Multiple Equilibria in Competitive Neural Networks With Discontinuous Nonmonotonic Piecewise Linear Activation Functions.

    Science.gov (United States)

    Nie, Xiaobing; Zheng, Wei Xing

    2016-03-01

    This paper addresses the problem of coexistence and dynamical behaviors of multiple equilibria for competitive neural networks. First, a general class of discontinuous nonmonotonic piecewise linear activation functions is introduced for competitive neural networks. Then based on the fixed point theorem and theory of strict diagonal dominance matrix, it is shown that under some conditions, such n -neuron competitive neural networks can have 5(n) equilibria, among which 3(n) equilibria are locally stable and the others are unstable. More importantly, it is revealed that the neural networks with the discontinuous activation functions introduced in this paper can have both more total equilibria and locally stable equilibria than the ones with other activation functions, such as the continuous Mexican-hat-type activation function and discontinuous two-level activation function. Furthermore, the 3(n) locally stable equilibria given in this paper are located in not only saturated regions, but also unsaturated regions, which is different from the existing results on multistability of neural networks with multiple level activation functions. A simulation example is provided to illustrate and validate the theoretical findings.

  8. Multi-scale MSDT inversion based on LAI spatial knowledge

    Institute of Scientific and Technical Information of China (English)

    ZHU XiaoHua; FENG XiaoMing; ZHAO YingShi

    2012-01-01

    Quantitative remote sensing inversion is ill-posed.The Moderate Resolution Imaging Spectroradiometer at 250 m resolution (MODIS_250m) contains two bands.To deal with this ill-posed inversion of MODIS_250m data,we propose a framework,the Multi-scale,Multi-stage,Sample-direction Dependent,Target-decisions (Multi-scale MSDT) inversion method,based on spatial knowledge.First,MODIS images (1 km,500 m,250 m) are used to extract multi-scale spatial knowledge.The inversion accuracy of MODIS_1km data is improved by reducing the impact of spatial heterogeneity.Then,coarse-scale inversion is taken as prior knowledge for the fine scale,again by inversion.The prior knowledge is updated after each inversion step.At each scale,MODIS_1km to MODIS_250m,the inversion is directed by the Uncertainty and Sensitivity Matrix (USM),and the most uncertain parameters are inversed by the most sensitive data.All remote sensing data are involved in the inversion,during which multi-scale spatial knowledge is introduced,to reduce the impact of spatial heterogeneity.The USM analysis is used to implement a reasonable allocation of limited remote sensing data in the model space.In the entire multi-scale inversion process,field data,spatial knowledge and multi-scale remote sensing data are all involved.As the multi-scale,multi-stage inversion is gradually refined,initial expectations of parameters become more reasonable and their uncertainty range is effectively reduced,so that the inversion becomes increasingly targeted.Finally,the method is tested by retrieving the Leaf Area Index (LAI) of the crop canopy in the Heihe River Basin.The results show that the proposed method is reliable.

  9. Knowledge service decision making in business incubators based on the supernetwork model

    Science.gov (United States)

    Zhao, Liming; Zhang, Haihong; Wu, Wenqing

    2017-08-01

    As valuable resources for incubating firms, knowledge resources have received gradually increasing attention from all types of business incubators, and business incubators use a variety of knowledge services to stimulate rapid growth in incubating firms. Based on previous research, we generalize the knowledge transfer and knowledge networking services of two main forms of knowledge services and further divide knowledge transfer services into knowledge depth services and knowledge breadth services. Then, we construct the business incubators' knowledge supernetwork model, describe the evolution mechanism among heterogeneous agents and utilize a simulation to explore the performance variance of different business incubators' knowledge services. The simulation results show that knowledge stock increases faster when business incubators are able to provide knowledge services to more incubating firms and that the degree of discrepancy in the knowledge stock increases during the process of knowledge growth. Further, knowledge transfer services lead to greater differences in the knowledge structure, while knowledge networking services lead to smaller differences. Regarding the two types of knowledge transfer services, knowledge depth services are more conducive to knowledge growth than knowledge breadth services, but knowledge depth services lead to greater gaps in knowledge stocks and greater differences in knowledge structures. Overall, it is optimal for business incubators to select a single knowledge service or portfolio strategy based on the amount of time and energy expended on the two types of knowledge services.

  10. Minimalist knowledge representation of primary care diseases in the medrapid.info knowledge base

    Directory of Open Access Journals (Sweden)

    Pascal VanQuekelberghe

    2005-12-01

    Conclusions The 'knowledge entry' function allows fast formal representation of clinical knowledge (<14 minutes per disease and testing using the integrated quality management system. In the near future, new measures must be found to improve the problematic representation of disease time processes, descriptions, warnings and graphics to formally represent clinical knowledge using the medrapid 'knowledge entry' function.

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

    Science.gov (United States)

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

    2012-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Miriam Fritsche

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

  13. 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.

  14. 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...... negation in description logic. We embed the natural logic in DATALOG clauses which is to take care of the computational inference in connection with querying...

  15. Distance learning, problem based learning and dynamic knowledge networks.

    Science.gov (United States)

    Giani, U; Martone, P

    1998-06-01

    This paper is an attempt to develop a distance learning model grounded upon a strict integration of problem based learning (PBL), dynamic knowledge networks (DKN) and web tools, such as hypermedia documents, synchronous and asynchronous communication facilities, etc. The main objective is to develop a theory of distance learning based upon the idea that learning is a highly dynamic cognitive process aimed at connecting different concepts in a network of mutually supporting concepts. Moreover, this process is supposed to be the result of a social interaction that has to be facilitated by the web. The model was tested by creating a virtual classroom of medical and nursing students and activating a learning session on the concept of knowledge representation in health sciences.

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

    Science.gov (United States)

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

    2017-07-01

    The paper describes the principles of organization and operation of the NRV web knowledge base on low-energy nuclear physics (http://nrv.jinr.ru/) which integrates a large amount of digitized experimental data on the properties of nuclei and nuclear reaction cross sections with a wide range of computational programs for modeling of nuclear properties and various processes of nuclear dynamics which work directly in the browser of a remote user. The paper also gives an overview of the current situation in the field of application of network information technologies in nuclear physics. The features of the NRV knowledge base are illustrated in detail on the example of the analysis of nucleon transfer reactions within the distorted wave Born approximation.

  17. Integrated Knowledge Based Expert System for Disease Diagnosis System

    Science.gov (United States)

    Arbaiy, Nureize; Sulaiman, Shafiza Eliza; Hassan, Norlida; Afizah Afip, Zehan

    2017-08-01

    The role and importance of healthcare systems to improve quality of life and social welfare in a society have been well recognized. Attention should be given to raise awareness and implementing appropriate measures to improve health care. Therefore, a computer based system is developed to serve as an alternative for people to self-diagnose their health status based on given symptoms. This strategy should be emphasized so that people can utilize the information correctly as a reference to enjoy healthier life. Hence, a Web-based Community Center for Healthcare Diagnosis system is developed based on expert system technique. Expert system reasoning technique is employed in the system to enable information about treatment and prevention of the diseases based on given symptoms. At present, three diseases are included which are arthritis, thalassemia and pneumococcal. Sets of rule and fact are managed in the knowledge based system. Web based technology is used as a platform to disseminate the information to users in order for them to optimize the information appropriately. This system will benefit people who wish to increase health awareness and seek expert knowledge on the diseases by performing self-diagnosis for early disease detection.

  18. Knowledge collaborative incentive based on inter-organizational cooperative innovation of project-based supply chain

    Directory of Open Access Journals (Sweden)

    Guangdong Wu

    2013-09-01

    Full Text Available Purpose: Within project-based supply chain inter-organizational cooperative innovation, the achievement of project value-adding reflects by factors such as project-based organizational effect level, the relationship between project cooperative innovation objectives etc. The purpose is to provide a reliable reference for the contractor reasonably allocate the effect level and resources between the knowledge input and innovation stage and realize the knowledge collaboration for project-based supply chain. Design/methodology/approach: Based on the assumption of equal cooperation between project-based organizations, from the view of maximizing project value-adding and the relationship of effect cost between knowledge input and innovation stage in consideration, the knowledge collaborative incentive model for project-based supply chain inter-organizational cooperative innovation was established, and solved through the first-order and second-order approach, then the digital simulation and example analysis were presented. Findings: The results show that, the project management enterprise resorted to adjust project knowledge collaboration incentive intensity and implemented knowledge input-innovation coordinative incentive strategy, not only could achieve project value-adding maximization, but also could realize net earnings Pareto improvement between project management enterprise and contractor. Research limitations/implications: To simplify the knowledge flow among project-based organizations, the knowledge flow in the model hypothesis is presented as knowledge input and knowledge innovation stage, thus it may affect the final analysis results. Originality/value: In construction project practice, knowledge is become more and more important to achieve project value-adding. The research can provide a theoretical guideline for the project-based organizations, such as the contractor, the owner, especially how to utilize their core knowledge.

  19. 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.

  20. A knowledge based model of electric utility operations. Final report

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1993-08-11

    This report consists of an appendix to provide a documentation and help capability for an analyst using the developed expert system of electric utility operations running in CLIPS. This capability is provided through a separate package running under the WINDOWS Operating System and keyed to provide displays of text, graphics and mixed text and graphics that explain and elaborate on the specific decisions being made within the knowledge based expert system.

  1. Knowledge Management in Set Based Lean Product Development Process

    OpenAIRE

    Furian, Robert; Lacroix, Frank,; STOKIC, DRAGAN; Correia, Ana; Grama, Cristina; Faltus, Stefan; Maksimovic, Maksim; Grote, Karl-Heinrich; Beyer, Christiane

    2012-01-01

    Part 2: Design, Manufacturing and Production Management; International audience; The objective of the research is to examine and develop new methods and tools for management of knowledge in Lean Product development. Lean Product development attempts to apply lean philosophy and principles within product development process. Special emphasis is given to the so-called Set Based Lean Design principles. Such product development process requires innovative methodologies and tools for capturing, re...

  2. Research on Knowledge-based Connecting Elements Modeling

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

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

  3. Human Resources Management Value in Knowledge-Based Society

    OpenAIRE

    Lobanova, Liudmila

    2009-01-01

    While building knowledge-based society and economy, particular importance in human resources management falls on the value of human resources and management expertise. The article analyses the features of human resources management competences in terms of completing human resources management functions in practice with a view to advantages of human resources management approaches compared with traditional approaches to human resources management. Upon research on personnel management function...

  4. A Knowledge base model for complex forging die machining

    OpenAIRE

    Mawussi, Kwamiwi; Tapie, Laurent

    2011-01-01

    International audience; Recent evolutions on forging process induce more complex shape on forging die. These evolutions, combined with High Speed Machining (HSM) process of forging die lead to important increase in time for machining preparation. In this context, an original approach for generating machining process based on machining knowledge is proposed in this paper. The core of this approach is to decompose a CAD model of complex forging die in geometric features. Technological data and ...

  5. Viewing the Web as a distributed knowledge base

    OpenAIRE

    Abiteboul, Serge; Antoine, Émilien; Stoyanovich, Julia

    2012-01-01

    International audience; This papers addresses the challenges faced by everyday Web users, who interact with inherently heterogeneous and distributed information. Managing such data is currently beyond the skills of casual users. We describe ongoing work that has as its goal the development of foundations for declarative distributed data management. In this approach, we see the Web as a knowledge base consisting of distributed logical facts and rules. Our objective is to enable automated reaso...

  6. PEST: A Knowledge Based System for Product Promotions

    OpenAIRE

    Curtis, Tony

    1994-01-01

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

  7. 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.

  8. Ontology-Based Knowledge Organization for the Radiograph Images Segmentation

    Directory of Open Access Journals (Sweden)

    MATEI, O.

    2008-04-01

    Full Text Available The quantity of thoracic radiographies in the medical field is ever growing. An automated system for segmenting the images would help doctors enormously. Some approaches are knowledge-based; therefore we propose here an ontology for this purpose. Thus it is machine oriented, rather than human-oriented. That is all the structures visible on a thoracic image are described from a technical point of view.

  9. Knowledge-based system for automatic MBR control.

    Science.gov (United States)

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

    2010-01-01

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

  10. 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.

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

    Directory of Open Access Journals (Sweden)

    Natália Chaves Lessa Schots

    2015-08-01

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

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

    NARCIS (Netherlands)

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

    2014-01-01

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

  13. Development of an Inquiry-Based Learning Support System Based on an Intelligent Knowledge Exploration Approach

    Science.gov (United States)

    Wu, Ji-Wei; Tseng, Judy C. R.; Hwang, Gwo-Jen

    2015-01-01

    Inquiry-Based Learning (IBL) is an effective approach for promoting active learning. When inquiry-based learning is incorporated into instruction, teachers provide guiding questions for students to actively explore the required knowledge in order to solve the problems. Although the World Wide Web (WWW) is a rich knowledge resource for students to…

  14. 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

  15. Convergence of a smoothing algorithm for symmetric cone complementarity problems with a nonmonotone line search

    Institute of Scientific and Technical Information of China (English)

    2009-01-01

    In this paper, we propose a smoothing algorithm for solving the monotone symmetric cone complementarity problems (SCCP for short) with a nonmonotone line search. We show that the nonmonotone algorithm is globally convergent under an assumption that the solution set of the problem concerned is nonempty. Such an assumption is weaker than those given in most existing algorithms for solving optimization problems over symmetric cones. We also prove that the solution obtained by the algorithm is a maximally complementary solution to the monotone SCCP under some assumptions.

  16. Non-monotonic dynamics and crosstalk in signaling pathways and their implications for pharmacology

    Science.gov (United States)

    van Wijk, Roeland; Tans, Sander J.; Wolde, Pieter Rein Ten; Mashaghi, Alireza

    2015-06-01

    Currently, drug discovery approaches commonly assume a monotonic dose-response relationship. However, the assumption of monotonicity is increasingly being challenged. Here we show that for two simple interacting linear signaling pathways that carry two different signals with different physiological responses, a non-monotonic input-output relation can arise with simple network topologies including coherent and incoherent feed-forward loops. We show that non-monotonicity of the response functions has severe implications for pharmacological treatment. Fundamental constraints are imposed on the effectiveness and toxicity of any drug independent of its chemical nature and selectivity due to the specific network structure.

  17. 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.

  18. Data Mining and Knowledge Discovery via Logic-Based Methods

    CERN Document Server

    Triantaphyllou, Evangelos

    2010-01-01

    There are many approaches to data mining and knowledge discovery (DM&KD), including neural networks, closest neighbor methods, and various statistical methods. This monograph, however, focuses on the development and use of a novel approach, based on mathematical logic, that the author and his research associates have worked on over the last 20 years. The methods presented in the book deal with key DM&KD issues in an intuitive manner and in a natural sequence. Compared to other DM&KD methods, those based on mathematical logic offer a direct and often intuitive approach for extracting easily int

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

    Science.gov (United States)

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

    2005-06-01

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

  20. Designing and Developing a NASA Research Projects Knowledge Base and Implementing Knowledge Management and Discovery Techniques

    Science.gov (United States)

    Dabiru, L.; O'Hara, C. G.; Shaw, D.; Katragadda, S.; Anderson, D.; Kim, S.; Shrestha, B.; Aanstoos, J.; Frisbie, T.; Policelli, F.; Keblawi, N.

    2006-12-01

    The Research Project Knowledge Base (RPKB) is currently being designed and will be implemented in a manner that is fully compatible and interoperable with enterprise architecture tools developed to support NASA's Applied Sciences Program. Through user needs assessment, collaboration with Stennis Space Center, Goddard Space Flight Center, and NASA's DEVELOP Staff personnel insight to information needs for the RPKB were gathered from across NASA scientific communities of practice. To enable efficient, consistent, standard, structured, and managed data entry and research results compilation a prototype RPKB has been designed and fully integrated with the existing NASA Earth Science Systems Components database. The RPKB will compile research project and keyword information of relevance to the six major science focus areas, 12 national applications, and the Global Change Master Directory (GCMD). The RPKB will include information about projects awarded from NASA research solicitations, project investigator information, research publications, NASA data products employed, and model or decision support tools used or developed as well as new data product information. The RPKB will be developed in a multi-tier architecture that will include a SQL Server relational database backend, middleware, and front end client interfaces for data entry. The purpose of this project is to intelligently harvest the results of research sponsored by the NASA Applied Sciences Program and related research program results. We present various approaches for a wide spectrum of knowledge discovery of research results, publications, projects, etc. from the NASA Systems Components database and global information systems and show how this is implemented in SQL Server database. The application of knowledge discovery is useful for intelligent query answering and multiple-layered database construction. Using advanced EA tools such as the Earth Science Architecture Tool (ESAT), RPKB will enable NASA and

  1. 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)

  2. 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.

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

    Science.gov (United States)

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

    2008-04-01

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

  4. 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.

  5. [Artificial intelligence--the knowledge base applied to nephrology].

    Science.gov (United States)

    Sancipriano, G P

    2005-01-01

    The idea that efficacy efficiency, and quality in medicine could not be reached without sorting the huge knowledge of medical and nursing science is very common. Engineers and computer scientists have developed medical software with great prospects for success, but currently these software applications are not so useful in clinical practice. The medical doctor and the trained nurse live the 'information age' in many daily activities, but the main benefits are not so widespread in working activities. Artificial intelligence and, particularly, export systems charm health staff because of their potential. The first part of this paper summarizes the characteristics of 'weak artificial intelligence' and of expert systems important in clinical practice. The second part discusses medical doctors' requirements and the current nephrologic knowledge bases available for artificial intelligence development.

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

    Science.gov (United States)

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

    2009-10-01

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

  7. Disease Related Knowledge Summarization Based on Deep Graph Search

    Directory of Open Access Journals (Sweden)

    Xiaofang Wu

    2015-01-01

    Full Text Available The volume of published biomedical literature on disease related knowledge is expanding rapidly. Traditional information retrieval (IR techniques, when applied to large databases such as PubMed, often return large, unmanageable lists of citations that do not fulfill the searcher’s information needs. In this paper, we present an approach to automatically construct disease related knowledge summarization from biomedical literature. In this approach, firstly Kullback-Leibler Divergence combined with mutual information metric is used to extract disease salient information. Then deep search based on depth first search (DFS is applied to find hidden (indirect relations between biomedical entities. Finally random walk algorithm is exploited to filter out the weak relations. The experimental results show that our approach achieves a precision of 60% and a recall of 61% on salient information extraction for Carcinoma of bladder and outperforms the method of Combo.

  8. Changing the knowledge base in Western herbal medicine.

    Science.gov (United States)

    Evans, Sue

    2008-12-01

    The project of modernising Western herbal medicine in order to allow it to be accepted by the public and to contribute to contemporary healthcare is now over two decades old. One aspect of this project involves changes to the ways knowledge about medicinal plants is presented. This paper contrasts the models of Evidence-Based Medicine (EBM) and Traditional Knowledge (TK) to illuminate some of the complexities which have arisen consequent to these changes, particularly with regard to the concept of vitalism, the retention or rejection of which may have broad implications for the clinical practice of herbal medicine. Illustrations from two herbals (central texts on the medicinal use of plants) demonstrate the differences between these frameworks in regard to how herbs are understood. Further, a review of articles on herbal therapeutics published in the Australian Journal of Herbal Medicine indicates that practitioners are moving away from TK and towards the use of EBM in their clinical discussions.

  9. Thermal response of proteins (histone H2AX, H3.1) by a coarse-grained Monte Carlo simulation with a knowledge-based phenomenological potential

    Science.gov (United States)

    Fritsche, Miriam; Heermann, Dieter; Pandey, Ras; Farmer, Barry

    2012-02-01

    Using a coarse-grained bond fluctuating model, we investigate structure and dynamics of two histones, H2AX (143 residues) and H3.1 (136 residues) as a function of temperature (T). A knowledged based contact matrix is used as an input for a phenomenological residue-residue interaction in a generalized Lennard-Jones potential. Metropolis algorithm is used to execute stochastic movement of each residue. A number of local and global physical quantities are analyzed. Despite unique energy and mobility profiles of its residues in a specific sequence, the histone H3.1 appears to undergo a structural transformation from a random coil to a globular conformation on reducing the temperature. The radius of gyration of the histone H2AX, in contrast, exhibits a non-monotonic dependence on temperature with a maximum at a characteristic temperature (Tc) where crossover occurs from a positive (stretching below Tc) to negative (contraction above Tc) thermal response on increasing T. Multi-scale structures of the proteins are examined by a detailed analysis of their structure functions.

  10. VARIED STEPLENGTH NONMONOTONE PATTERN SEARCH METHOD%变步长非单调模式搜索法

    Institute of Scientific and Technical Information of China (English)

    杨春; 倪勤

    2005-01-01

    A varied steplength nonmonotone pattern search method is proposed in this paper. The varied steplength search strategy is designed in this method such that the pattern direction is more approximated to efficient descent direction. The interpolation and nonmonotone technique are used for improving local search and global convergence. The theoretical and numerical results show that this method is an efficient direct search method.

  11. An Ontology-Based Approach for Knowledge Lifecycle Management within Aircraft Lifecycle Phases

    NARCIS (Netherlands)

    Verhagen, W.J.C.

    2013-01-01

    In the aerospace domain, manufacturers and operators constantly seek to improve their products and processes. Increasingly, knowledge-based applications are developed to support or automate knowledge-intensive engineering tasks, saving time and money. However, engineering knowledge changes over

  12. Assessing Knowledge Base on Geriatric Competencies for Emergency Medicine Residents

    Directory of Open Access Journals (Sweden)

    Teresita M. Hogan

    2014-07-01

    Full Text Available Introduction: Emergency care of older adults requires specialized knowledge of their unique physiology, atypical presentations, and care transitions. Older adults often require distinctive assessment, treatment and disposition. Emergency medicine (EM residents should develop expertise and efficiency in geriatric care. Older adults represent over 25% of most emergency department (ED volumes. Yet many EM residencies lack curricula or assessment tools for competent geriatric care. Fully educating residents in emergency geriatric care can demand large amounts of limited conference time. The Geriatric Emergency Medicine Competencies (GEMC are high-impact geriatric topics developed to help residencies efficiently and effectively meet this training demand. This study examines if a 2-hour didactic intervention can significantly improve resident knowledge in 7 key domains as identified by the GEMC across multiple programs. Methods: A validated 29-question didactic test was administered at six EM residencies before and after a GEMC-focused lecture delivered in summer and fall of 2009. We analyzed scores as individual questions and in defined topic domains using a paired student t test. Results: A total of 301 exams were administered; 86 to PGY1, 88 to PGY2, 86 to PGY3, and 41 to PGY4 residents. The testing of didactic knowledge before and after the GEMC educational intervention had high internal reliability (87.9%. The intervention significantly improved scores in all 7 GEMC domains (improvement 13.5% to 34.6%; p<0.001. For all questions, the improvement was 23% (37.8% pre, 60.8% post; P<0.001 Graded increase in geriatric knowledge occurred by PGY year with the greatest improvement post intervention seen at the PGY 3 level (PGY1 19.1% versus PGY3 27.1%. Conclusion: A brief GEMC intervention had a significant impact on EM resident knowledge of critical geriatric topics. Lectures based on the GEMC can be a high-yield tool to enhance resident knowledge of

  13. 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...

  14. A Temporal Fuzzy Logic Formalism for Knowledge Based Systems

    Directory of Open Access Journals (Sweden)

    Vasile MAZILESCU

    2012-11-01

    Full Text Available This paper shows that the influence of knowledge on new forms of work organisation can be described as mutual relationships. Different changes in work organisation also have a strong influence on the increasing importance of knowledge of different individual and collective actors in working situations. After that, we characterize a piece of basic formal system, an Extended Fuzzy Logic System (EFLS with temporal attributes, to conceptualize future DKMSs based on human imprecise for distributed just in time decisions. The approximate reasoning is perceived as a derivation of new formulas with the corresponding temporal attributes, within a fuzzy theory defined by the fuzzy set of special axioms. In a management application, the reasoning is evolutionary because of unexpected events which may change the state of the DKMS. In this kind of situations it is necessary to elaborate certain mechanisms in order to maintain the coherence of the obtained conclusions, to figure out their degree of reliability and the time domain for which these are true. These last aspects stand as possible further directions of development at a basic logic level for future technologies that must automate knowledge organizational processes.

  15. Global Convergence of the Broyden's Class of Quasi-Newton Methods with Nonmonotone Linesearch

    Institute of Scientific and Technical Information of China (English)

    Da-chuan Xu

    2003-01-01

    In this paper, the Broyden class of quasi-Newton methods for unconstrained optimization is investigated. Non-monotone linesearch procedure is introduced, which is combined with the Broyden's class. Under the convexity assumption on objective function, the global convergence of the Broyden's class is proved.

  16. Bifurcations of a predator-prey model with non-monotonic response function

    NARCIS (Netherlands)

    Broer, H.W.; Naudot, Vincent; Roussarie, Robert; Saleh, Khairul

    2005-01-01

    A 2-dimensional predator-prey model with five parameters is investigated, adapted from the Volterra-Lotka system by a non-monotonic response function. A description of the various domains of structural stability and their bifurcations is given. The bifurcation structure is reduced to four organising

  17. Nonmonotonous concentration behaviour of T sub c in Van-Hove scenario

    CERN Document Server

    Kozlov, A N

    2002-01-01

    Dependence of T sub c on doping in the Hubbard model with a low- repulsion in the range of carrier concentration, where the Cooper amplitude depends on the system vicinity to spin density wave transition, is considered. It is shown that in the Van Hove scenario in the range of optimal doping nonmonotonous dependence of T sub c on carrier concentration is observed

  18. Spreading Speed for a Periodic Reaction-diffusion Model with Nonmonotone Birth Function

    Institute of Scientific and Technical Information of China (English)

    HUANG Ye-hui; WENG Pei-xuan

    2012-01-01

    A reaction-diffusion model for a single spccies with age structure and nonlocal reaction for periodic time t is derived.Some results about the model with monotone birth function are firstly introduced,and then by constructing two auxiliary equations and squeezing method,the spreading speed for the system with nonmonotone birth function is obtained.

  19. An unconstrained optimization method using nonmonotone second order Goldstein's line search

    Institute of Scientific and Technical Information of China (English)

    Wen-yu; SUN; Qun-yan; ZHOU

    2007-01-01

    In this paper, an unconstrained optimization method using the nonmonotone second order Goldstein's line search is proposed. By using the negative curvature information from the Hessian,the sequence generated is shown to converge to a stationary point with the second order optimality conditions. Numerical tests on a set of standard test problems confirm the efficiency of our new method.

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

    Science.gov (United States)

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

    2016-10-01

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

  1. Knowledge-based approach to video content classification

    Science.gov (United States)

    Chen, Yu; Wong, Edward K.

    2001-01-01

    A framework for video content classification using a knowledge-based approach is herein proposed. This approach is motivated by the fact that videos are rich in semantic contents, which can best be interpreted and analyzed by human experts. We demonstrate the concept by implementing a prototype video classification system using the rule-based programming language CLIPS 6.05. Knowledge for video classification is encoded as a set of rules in the rule base. The left-hand-sides of rules contain high level and low level features, while the right-hand-sides of rules contain intermediate results or conclusions. Our current implementation includes features computed from motion, color, and text extracted from video frames. Our current rule set allows us to classify input video into one of five classes: news, weather, reporting, commercial, basketball and football. We use MYCIN's inexact reasoning method for combining evidences, and to handle the uncertainties in the features and in the classification results. We obtained good results in a preliminary experiment, and it demonstrated the validity of the proposed approach.

  2. The Meta-Ontology Model of the Fishdisease Diagnostic Knowledge Based on Owl

    Science.gov (United States)

    Shi, Yongchang; Gao, Wen; Hu, Liang; Fu, Zetian

    For improving available and reusable of knowledge in fish disease diagnosis (FDD) domain and facilitating knowledge acquisition, an ontology model of FDD knowledge was developed based on owl according to FDD knowledge model. It includes terminology of terms in FDD knowledge and hierarchies of their class.

  3. Cultural and Rhetorical Bases for communicating knowledge in web based communities

    DEFF Research Database (Denmark)

    Kampf, Constance; Kommers, Piet

    2008-01-01

    This call for papers invites papers focused on theoretical frameworks or empirical research which highlights the cultural and/or rhetorical aspects of communicating knowledge in web based communities. We are looking for work that brings together methods and perspectives across disciplines......Cultural and Rhetorical Bases for communicating knowledge in web based communities How can we extend learner-centred theories for educational technology to include, for instance, the cultural and rhetorical backgrounds which influence participants in online communities as they engage in knowledge...... communication processes? To begin to answer this question, we are looking for papers which engage concepts such as: communities of practice (Wenger 1998) the emerging field of knowledge communication the connections between communicating knowledge and discourse structures cultural situatedness of communication...

  4. A knowledge-based manager for software projects

    Energy Technology Data Exchange (ETDEWEB)

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

    1988-01-01

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

  5. Melody-based knowledge discovery in musical pieces

    Science.gov (United States)

    Rybnik, Mariusz; Jastrzebska, Agnieszka

    2016-06-01

    The paper is focused on automated knowledge discovery in musical pieces, based on transformations of digital musical notation. Usually a single musical piece is analyzed, to discover the structure as well as traits of separate voices. Melody and rhythm is processed with the use of three proposed operators, that serve as meta-data. In this work we focus on melody, so the processed data is labeled using fuzzy labels, created for detecting various voice characteristics. A comparative analysis of two musical pieces may be performed as well, that compares them in terms of various rhythmic or melodic traits (as a whole or with voice separation).

  6. A Metadata based Knowledge Discovery Methodology for Seeding Translational Research.

    Science.gov (United States)

    Kothari, Cartik R; Payne, Philip R O

    2015-01-01

    In this paper, we present a semantic, metadata based knowledge discovery methodology for identifying teams of researchers from diverse backgrounds who can collaborate on interdisciplinary research projects: projects in areas that have been identified as high-impact areas at The Ohio State University. This methodology involves the semantic annotation of keywords and the postulation of semantic metrics to improve the efficiency of the path exploration algorithm as well as to rank the results. Results indicate that our methodology can discover groups of experts from diverse areas who can collaborate on translational research projects.

  7. Encoding Lexicalized Tree Adjoining Grammars with a Nonmonotonic Inheritance Hierarchy

    CERN Document Server

    Evans, R; Weir, D; Evans, Roger; Gazdar, Gerald; Weir, David

    1995-01-01

    This paper shows how DATR, a widely used formal language for lexical knowledge representation, can be used to define an LTAG lexicon as an inheritance hierarchy with internal lexical rules. A bottom-up featural encoding is used for LTAG trees and this allows lexical rules to be implemented as covariation constraints within feature structures. Such an approach eliminates the considerable redundancy otherwise associated with an LTAG lexicon.

  8. 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

  9. Knowledge of asthma guidelines: results of a UK General Practice Airways Group (GPIAG) web-based 'Test your Knowledge' quiz.

    Science.gov (United States)

    Pinnock, Hilary; Holmes, Steve; Levy, Mark L; McArthur, Ruth; Small, Iain

    2010-06-01

    A web-based questionnaire, comprising 11 multiple choice questions, tested the knowledge of visitors to the General Practice Airways Group (GPIAG) online summary of the British Asthma guideline. On average, the 413 respondents answered less than half the questions correctly. GP scores were significantly lower than practice nurses. Improving clinicians' knowledge of asthma is a prerequisite for improving management.

  10. Ontology-Based Empirical Knowledge Verification for Professional Virtual Community

    Science.gov (United States)

    Chen, Yuh-Jen

    2011-01-01

    A professional virtual community provides an interactive platform for enterprise experts to create and share their empirical knowledge cooperatively, and the platform contains a tremendous amount of hidden empirical knowledge that knowledge experts have preserved in the discussion process. Therefore, enterprise knowledge management highly…

  11. Ontology-Based Empirical Knowledge Verification for Professional Virtual Community

    Science.gov (United States)

    Chen, Yuh-Jen

    2011-01-01

    A professional virtual community provides an interactive platform for enterprise experts to create and share their empirical knowledge cooperatively, and the platform contains a tremendous amount of hidden empirical knowledge that knowledge experts have preserved in the discussion process. Therefore, enterprise knowledge management highly…

  12. Research on Collaborative Knowledge Innovation Based on System Dynamics

    Directory of Open Access Journals (Sweden)

    Wang Xiuhong

    2012-11-01

    Full Text Available Constructing the rational knowledge network is an effective means of cooperative innovation organization. But collaborative innovation organization system is relatively complicated, and knowledge itself is latent and unexpected, knowledge network is not comprehensive and accurate. This paper analyzes deeply knowledge network of organization cooperative innovation, and builds a system dynamics model about knowledge network of collaborative innovation by using the system dynamics model and function of simulation of special drawing. Accorfing to the abovr medel, we can clearly conclude the key factor in the system, and quantitatively reveal the knowledge sharing which is the most important collaborative innovation rule in knowledge organization network.

  13. 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...... procedures has been developed to retrieve the data/information stored in the knowledge base....

  14. Nonmonotonic size dependence in the hole mobility of methoxide-stabilized PbSe quantum dot solids.

    Science.gov (United States)

    Scheele, Marcus; Engel, Jesse H; Ferry, Vivian E; Hanifi, David; Liu, Yi; Alivisatos, A Paul

    2013-08-27

    We present a facile procedure to fabricate p-type PbSe-based quantum dot solids with mobilities as large as 0.3 cm(2) V(-1)s(-1). Upon partial ligand exchange of oleate-capped PbSe quantum dots with the methoxide ion, we observe a pronounced red shift in the excitonic transition in conjunction with a large increase in conductivity. We show that there is little correlation between these two phenomena and that the electronic coupling energy in PbSe quantum dot solids is much smaller than often assumed. However, we observe for the first time a nonmonotonic size dependence of the hole mobility, illustrating that coupling can nonetheless be dominant in determining the transport characteristics. We attribute these effects to a decrease in charging energy and interparticle spacing, leading to enhanced electronic coupling on one hand and enhanced dipole interactions on the other hand, which is held responsible for the majority of the red shift.

  15. Mechanistic modeling of fingering, nonmonotonicity, fragmentation, and pulsation within gravity/buoyant destabilized two-phase/unsaturated flow

    Science.gov (United States)

    Glass, Robert J.; Yarrington, Lane

    2003-03-01

    Fingering, nonmonotonicity, fragmentation, and pulsation within gravity/buoyant destabilized two-phase/unsaturated flow systems has been widely observed with examples in homogeneous to heterogeneous porous media, in single fractures to fracture networks, and for both wetting and nonwetting invasion. To model this phenomena, we consider a mechanistic approach based on forms of modified invasion percolation (MIP) that include gravity, the influence of the local interfacial curvature along the phase-phase interface, and the simultaneous invasion and reinvasion of both wetting and nonwetting fluids. We present example simulations and compare them to experimental data for three very different situations: (1) downward gravity-driven fingering of water into a dry, homogeneous, water-wettable, porous medium; (2) upward buoyancy-driven migration of gas within a water saturated, heterogeneous, water-wettable, porous medium; and (3) downward gravity-driven fingering of water into a dry, water-wettable, rough-walled fracture.

  16. 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.

  17. 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

  18. A Knowledge-Based Analysis of Global Function Computation

    CERN Document Server

    Halpern, Joseph Y

    2007-01-01

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

  19. 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.

  20. 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.

  1. Knowledge Governance Strategies in Project-based Organizations

    DEFF Research Database (Denmark)

    Pemsel, Sofia; Müller, Ralf; Söderlund, Jonas

    2016-01-01

    Knowledge governance (KG) aims at strategically influencing knowledge processes by implementing governance mechanisms. Little is known about whether, how, or why such strategies differ among firms. We utilize a large-scale empirical study of 20 organizations to develop a typology of KG strategies...... strategies. We uncover three main drivers of organizations' chosen knowledge governance strategies-namely, attitudes about humans, knowledge, and knowledge control....

  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. 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.

  4. 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

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

    Science.gov (United States)

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

    2010-01-01

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

  6. 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.

  7. Applying Knowledge to Generate Action: A Community-Based Knowledge Translation Framework

    Science.gov (United States)

    Campbell, Barbara

    2010-01-01

    Introduction: Practical strategies are needed to translate research knowledge between researchers and users into action. For effective translation to occur, researchers and users should partner during the research process, recognizing the impact that knowledge, when translated into practice, will have on those most affected by that research.…

  8. Ontology-based Knowledge Extraction from Hidden Web

    Institute of Scientific and Technical Information of China (English)

    SONG Hui; MA Fan-yuan; LIU Xiao-qiang

    2004-01-01

    Hidden Web provides great amount of domain-specific data for constructing knowledge services. Most previous knowledge extraction researches ignore the valuable data hidden in Web database, and related works do not refer how to make extracted information available for knowledge system. This paper describes a novel approach to build a domain-specific knowledge service with the data retrieved from Hidden Web. Ontology serves to model the domain knowledge. Queries forms of different Web sites are translated into machine-understandable format, defined knowledge concepts, so that they can be accessed automatically. Also knowledge data are extracted from Web pages and organized in ontology format knowledge. The experiment proves the algorithm achieves high accuracy and the system facilitates constructing knowledge services greatly.

  9. 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.

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

    Science.gov (United States)

    Höfler, Veit; Wessollek, Christine; Karrasch, Pierre

    2016-10-01

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

  11. Fuzzy-Based XML Knowledge Retrieval Methods in Edaphology

    Directory of Open Access Journals (Sweden)

    K. Naresh kumar

    2016-05-01

    Full Text Available In this paper, we propose a proficient method for knowledge management in Edaphology to assist the edaphologists and those related with agriculture in a big way. The proposed method mainly consists two sections of which the first one is to build the knowledge base using XML and the latter part deals with information retrieval by searching using fuzzy. Initially, the relational database is converted to the XML database. The paper discusses two algorithms, one is when the soil characteristics are inputted to have the plant list and in the other, plant names are inputted to have the soil characteristics suited for the plant. While retrieving the query result, the crisp numerical values are converted to fuzzy using the triangular fuzzy membership function and matched to those in database. And those which satisfy are added to the result list and subsequently the frequency is found out to rank the result list so as to obtain the final sorted list. Performance metrics used in order to evaluate the method and compare it to baseline paper are number of plants retrieved, ranking efficiency, and computation time and memory usage. Results obtained proved the validity of the method and the method obtained average computation time of 0.102 seconds and average memory usage of 2486 Kb, which all are far better than the previous method results.

  12. 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.

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

    Science.gov (United States)

    Leydesdorff, Loet

    2006-06-01

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

  14. DRILL: a standardized radiology-teaching knowledge base

    Science.gov (United States)

    Rundle, Debra A.; Evers, K.; Seshadri, Sridhar B.; Arenson, Ronald L.

    1991-07-01

    Traditionally, radiologists have collected and saved interesting cases in their film formats to teach medical students, residents, and physicians. These cases are classified according to various coding schemes, although current schemes alone are insufficient to meet today's educational needs. Teaching methods and cases also vary among institutions, along with the manner in which instructors present information to their students. In order to address this problem, the authors developed a standardized radiology teaching knowledge database known as the Digital Radiology Image Learning Library (DRILL). DRILL is a relational image knowledge database providing access to standard mammography cases in digital image format along with a pool of clinical and radiological information on a per-case basis. The development platform chosen is a standard Apple Macintosh-II computer and the Oracle database environment. The data entry and query interfaces are implemented in HyperCard. Images are stored on magnetic disk but could be stored on optical media. Since the personal computer platform was chosen, a wide variety of course building tools are available through which a teacher can construct a course, such as authoring and multi-media systems for building computer based courses, or word processors for writing course outlines tests. The interface also provides image conversion tools which convert images into PC-compatible formats.

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

    Directory of Open Access Journals (Sweden)

    Aronson Alan R

    2010-11-01

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

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

    DEFF Research Database (Denmark)

    Hvam, Lars; Malis, Martin

    2003-01-01

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

  17. A Knowledge base model for complex forging die machining

    CERN Document Server

    Mawussi, Kwamiwi; 10.1016/j.cie.2011.02.016

    2011-01-01

    Recent evolutions on forging process induce more complex shape on forging die. These evolutions, combined with High Speed Machining (HSM) process of forging die lead to important increase in time for machining preparation. In this context, an original approach for generating machining process based on machining knowledge is proposed in this paper. The core of this approach is to decompose a CAD model of complex forging die in geometric features. Technological data and topological relations are aggregated to a geometric feature in order to create machining features. Technological data, such as material, surface roughness and form tolerance are defined during forging process and dies design. These data are used to choose cutting tools and machining strategies. Topological relations define relative positions between the surfaces of the die CAD model. After machining features identification cutting tools and machining strategies currently used in HSM of forging die, are associated to them in order to generate mac...

  18. KBERG: KnowledgeBase for Estrogen Responsive Genes

    DEFF Research Database (Denmark)

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

    2007-01-01

    , KBERG uses two established ontology systems, GO and eVOC, to associate genes with their function. Users may assess gene functionality through the description terms in GO. Alternatively, they can gain gene co-expression information through evidence from human EST libraries via eVOC. KBERG is a user......Estrogen has a profound impact on human physiology affecting transcription of numerous genes. To decipher functional characteristics of estrogen responsive genes, we developed KnowledgeBase for Estrogen Responsive Genes (KBERG). Genes in KBERG were derived from Estrogen Responsive Gene Database...... (ERGDB) and were analyzed from multiple aspects. We explored the possible transcription regulation mechanism by capturing highly conserved promoter motifs across orthologous genes, using promoter regions that cover the range of [-1200, +500] relative to the transcription start sites. The motif detection...

  19. 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.

  20. 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.

  1. VIALACTEA knowledge base homogenizing access to Milky Way data

    Science.gov (United States)

    Molinaro, Marco; Butora, Robert; 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

    2016-08-01

    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.

  2. A Natural Logic for Natural-language Knowledge Bases

    DEFF Research Database (Denmark)

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

    2017-01-01

    We describe a natural logic for computational reasoning with a regimented fragment of natural language. The natural logic comes with intuitive inference rules enabling deductions and with an internal graph representation facilitating conceptual path finding between pairs of terms as an approach......-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....... 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...

  3. A Natural Logic for Natural-Language Knowledge Bases

    DEFF Research Database (Denmark)

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

    2017-01-01

    We describe a natural logic for computational reasoning with a regimented fragment of natural language. The natural logic comes with intuitive inference rules enabling deductions and with an internal graph representation facilitating conceptual path finding between pairs of terms as an approach......-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....... 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...

  4. Knowledge Template Based Multi-perspective Car Recognition Algorithm

    Directory of Open Access Journals (Sweden)

    Bo Cai

    2010-12-01

    Full Text Available In order to solve the problem due to the vehicle-oriented society such as traffic jam or traffic accident, intelligent transportation system(ITS is raised and become scientist’s research focus, with the purpose of giving people better and safer driving condition and assistance. The core of intelligent transport system is the vehicle recognition and detection, and it’s the prerequisites for other related problems. Many existing vehicle recognition algorithms are aiming at one specific direction perspective, mostly front/back and side view. To make the algorithm more robust, our paper raised a vehicle recognition algorithm for oblique vehicles while also do research on front/back and side ones. The algorithm is designed based on the common knowledge of the car, such as shape, structure and so on. The experimental results of many car images show that our method has fine accuracy in car recognition.

  5. Sentence Topics Based Knowledge Acquisition for Question Answering

    Science.gov (United States)

    Oh, Hyo-Jung; Yun, Bo-Hyun

    This paper presents a knowledge acquisition method using sentence topics for question answering. We define templates for information extraction by the Korean concept network semi-automatically. Moreover, we propose the two-phase information extraction model by the hybrid machine learning such as maximum entropy and conditional random fields. In our experiments, we examined the role of sentence topics in the template-filling task for information extraction. Our experimental result shows the improvement of 18% in F-score and 434% in training speed over the plain CRF-based method for the extraction task. In addition, our result shows the improvement of 8% in F-score for the subsequent QA task.

  6. 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.

  7. Knowledge Discovery for Event Series Decision Based on Rough Set

    Institute of Scientific and Technical Information of China (English)

    ZENG Chuan-hua; PEI Zheng; XU Yang

    2006-01-01

    To make decisions about event series is part of our life, and to discover knowledge from these decisions is of great significance in the field of controlling and decision-making.The paper takes event series as the exterior form of movements with the dynamic attributes, and gets the Markov transition probabilities matrix to express those attributes with statistics. First, according to the matrix,the decision table is constructed. Then, by reducing attributes based on rough set theory, the decision table is reduced, and the decision rules are acquired as well. Finally we make the decision through defining rule distance and taking the minimum rule distance as decision principle.Followed is an example, which proves that the algorithm is feasible and effective to the event series decision.

  8. Knowledge Base Effects in Children's Number Analogy Solutions.

    Science.gov (United States)

    Corsale, Kathleen; Gitomer, Drew

    Developmental and individual differences in mathematical aptitude were investigated as a function of knowledge structure and processing variables. Results indicated the relative importance of knowledge structure and strategy skills in aptitude test performance. Protocol data further elaborated the interrelationships between knowledge and process…

  9. Background Knowledge in Learning-Based Relation Extraction

    Science.gov (United States)

    Do, Quang Xuan

    2012-01-01

    In this thesis, we study the importance of background knowledge in relation extraction systems. We not only demonstrate the benefits of leveraging background knowledge to improve the systems' performance but also propose a principled framework that allows one to effectively incorporate knowledge into statistical machine learning models for…

  10. Background Knowledge in Learning-Based Relation Extraction

    Science.gov (United States)

    Do, Quang Xuan

    2012-01-01

    In this thesis, we study the importance of background knowledge in relation extraction systems. We not only demonstrate the benefits of leveraging background knowledge to improve the systems' performance but also propose a principled framework that allows one to effectively incorporate knowledge into statistical machine learning models for…

  11. Strategic Positioning of HRM in Knowledge-Based Organizations

    Science.gov (United States)

    Thite, Mohan

    2004-01-01

    With knowledge management as the strategic intent and learning to learn as the strategic weapon, the current management focus is on how to leverage knowledge faster and better than competitors. Research demonstrates that it is the cultural mindset of the people in the organisation that primarily defines success in knowledge intensive…

  12. A Large-Scale Knowledge Management Method Based on the Analysis of the Use of Online Knowledge Resources

    Science.gov (United States)

    Del Fiol, Guilherme; Cimino, James J; Maviglia, Saverio M; Strasberg, Howard R; Jackson, Brian R; Hulse, Nathan C

    2010-01-01

    Online health knowledge resources can be integrated into electronic health record systems using decision support tools known as “infobuttons.” In this study we describe a knowledge management method based on the analysis of knowledge resource use via infobuttons in multiple institutions. Methods: We conducted a two-phase analysis of laboratory test infobutton sessions at three healthcare institutions accessing two knowledge resources. The primary study measure was session coverage, i.e. the rate of infobutton sessions in which resources retrieved relevant content. Results: In Phase One, resources covered 78.5% of the study sessions. In addition, a subset of 38 noncovered tests that most frequently raised questions was identified. In Phase Two, content development guided by the outcomes of Phase One resulted in a 4% average coverage increase. Conclusion: The described method is a valuable approach to large-scale knowledge management in rapidly changing domains. PMID:21346957

  13. Incremental Knowledge Base Construction Using DeepDive

    Science.gov (United States)

    Shin, Jaeho; Wu, Sen; Wang, Feiran; De Sa, Christopher; Zhang, Ce; Ré, Christopher

    2016-01-01

    Populating a database with unstructured information is a long-standing problem in industry and research that encompasses problems of extraction, cleaning, and integration. Recent names used for this problem include dealing with dark data and knowledge base construction (KBC). In this work, we describe DeepDive, a system that combines database and machine learning ideas to help develop KBC systems, and we present techniques to make the KBC process more efficient. We observe that the KBC process is iterative, and we develop techniques to incrementally produce inference results for KBC systems. We propose two methods for incremental inference, based respectively on sampling and variational techniques. We also study the tradeoff space of these methods and develop a simple rule-based optimizer. DeepDive includes all of these contributions, and we evaluate Deep-Dive on five KBC systems, showing that it can speed up KBC inference tasks by up to two orders of magnitude with negligible impact on quality. PMID:27144081

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

    Science.gov (United States)

    Remtulla, Karim A.

    2007-01-01

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

  15. Identification of threats using linguistics-based knowledge extraction.

    Energy Technology Data Exchange (ETDEWEB)

    Chew, Peter A.

    2008-09-01

    One of the challenges increasingly facing intelligence analysts, along with professionals in many other fields, is the vast amount of data which needs to be reviewed and converted into meaningful information, and ultimately into rational, wise decisions by policy makers. The advent of the world wide web (WWW) has magnified this challenge. A key hypothesis which has guided us is that threats come from ideas (or ideology), and ideas are almost always put into writing before the threats materialize. While in the past the 'writing' might have taken the form of pamphlets or books, today's medium of choice is the WWW, precisely because it is a decentralized, flexible, and low-cost method of reaching a wide audience. However, a factor which complicates matters for the analyst is that material published on the WWW may be in any of a large number of languages. In 'Identification of Threats Using Linguistics-Based Knowledge Extraction', we have sought to use Latent Semantic Analysis (LSA) and other similar text analysis techniques to map documents from the WWW, in whatever language they were originally written, to a common language-independent vector-based representation. This then opens up a number of possibilities. First, similar documents can be found across language boundaries. Secondly, a set of documents in multiple languages can be visualized in a graphical representation. These alone offer potentially useful tools and capabilities to the intelligence analyst whose knowledge of foreign languages may be limited. Finally, we can test the over-arching hypothesis--that ideology, and more specifically ideology which represents a threat, can be detected solely from the words which express the ideology--by using the vector-based representation of documents to predict additional features (such as the ideology) within a framework based on supervised learning. In this report, we present the results of a three-year project of the same name. We believe

  16. 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.

  17. A Corpus-based Analysis of Noun-verb Collocation of Knowledge

    Institute of Scientific and Technical Information of China (English)

    LIU Ting-ting

    2016-01-01

    Corpus-based analysis is adopted to study the acceptable noun-verb collocation of the word knowledge. Verbs like ac-quire, have etc. are found to be frequently collocate with knowledge, and the Chinese students’favorite patterns like learn knowledge, enlarge knowledge are not acceptable. The finding may encourage teachers to consider about the pedagogical value of corpus while teaching languages.

  18. Customer Oriented Knowledge Management: Experiences from an Internationally Oriented Project Based Organisation

    DEFF Research Database (Denmark)

    Christensen, Karina

    2002-01-01

    Knowledge management should be seen as an on-going process that accentuates the role of knowledge based resources in the management of the finrm. Instead of seeing knowledge management purely as a technological solution this article argues that knowledge management should be regarded as a metapho...

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

    Science.gov (United States)

    Jansen, Amanda; Bartell, Tonya; Berk, Dawn

    2009-01-01

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

  20. Relational Competence-Based Knowledge Transfer Within Intrafamily Succession: an Experimental Study

    NARCIS (Netherlands)

    Hatak, Isabella; Roessl, Dietmar

    2015-01-01

    This article discusses the challenges of knowledge management within intrafamily succession against the background of the knowledge-based view. As a knowledge transfer is crucial for a successful business continuation, factors that promote the interpersonal knowledge transfer are identified. Since t

  1. A strategy to model nonmonotonic dose-response curve and estimate IC50.

    Science.gov (United States)

    Zhang, Hui; Holden-Wiltse, Jeanne; Wang, Jiong; Liang, Hua

    2013-01-01

    The half-maximal inhibitory concentration IC[Formula: see text] is an important pharmacodynamic index of drug effectiveness. To estimate this value, the dose response relationship needs to be established, which is generally achieved by fitting monotonic sigmoidal models. However, recent studies on Human Immunodeficiency Virus (HIV) mutants developing resistance to antiviral drugs show that the dose response curve may not be monotonic. Traditional models can fail for nonmonotonic data and ignore observations that may be of biologic significance. Therefore, we propose a nonparametric model to describe the dose response relationship and fit the curve using local polynomial regression. The nonparametric approach is shown to be promising especially for estimating the IC[Formula: see text] of some HIV inhibitory drugs, in which there is a dose-dependent stimulation of response for mutant strains. This model strategy may be applicable to general pharmacologic, toxicologic, or other biomedical data that exhibits a nonmonotonic dose response relationship for which traditional parametric models fail.

  2. THE INTELECTUAL CAPITAL IN KNOWLEDGE-BASED SOCIETY AND ECONOMY

    Directory of Open Access Journals (Sweden)

    Remus Mircea Sabau

    2012-07-01

    Full Text Available The management improvement in the educational public institutions from Romania owns an undeniable priority in each state government. The necessity of the changes in institutional management related to the administrative system and, mainly, to the management of the intellectual capital defines the utility and the efficiency of meeting the necessities in the respective educational environment and sets as one of the main problems, recently emerged, the elaboration of a number of structural-organisational and functional-operational measures, stimulating management modernization at an educational level, including the higher education institutions, with a main reference to the intellectual capital. In the national literature, these problems are not highly scientifically examined. In my opinion, in Romania, at present there isnn#8217;t any well-defined framework in connection with the management of the intellectual capital from the educational institutions. Thatn#8217;s why I considered that this isnn#8217;t just an actual topic but it is also a central subject. In#8217;m convinced that a more thorough examination of the intellectual capital will be able to contribute on a long and a medium term to the administrative growth and development. The intellectual capital has a key role in the international relations development and triggers, in my opinion, radical structural changes, which are very important for the amplification of the educational institutions value. The ability to create, use and increase the intellectual capital value is, in my opinion, the foundation on which it is based the public management of educational institutions in a country, the welfare and the life quality for her citizens. The knowledge valorification is a long process, which doesnn#8217;t offer rapid results. But the effects of promoting and propagating of knowledge are, firstly, on a qualitative structural level and can lead to beneficial effects on long term. In my opinion

  3. 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.

  4. Knowledge management

    OpenAIRE

    Jarošová, Milena

    2008-01-01

    Theoretical part: Basic terms of knowledge management, knowledge worker, knowledge creation and conversion process, prerequisites and benefits of knowledge management. Knowledge management and it's connection to organizational culture and structure, result measurements of knowledge management, learning organization and it's connection to knowledge management. Tacit knowledge management tools -- stories -- types, how to create, practical use, communities, coaching. Value Based Organization. Pr...

  5. Knowledge-based engineering of a PLC controlled telescope

    Science.gov (United States)

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

    2016-08-01

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

  6. 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

  7. A Strategy to Model Nonmonotonic Dose-Response Curve and Estimate IC50

    OpenAIRE

    Hui Zhang; Jeanne Holden-Wiltse; Jiong Wang; Hua Liang

    2013-01-01

    The half-maximal inhibitory concentration IC[Formula: see text] is an important pharmacodynamic index of drug effectiveness. To estimate this value, the dose response relationship needs to be established, which is generally achieved by fitting monotonic sigmoidal models. However, recent studies on Human Immunodeficiency Virus (HIV) mutants developing resistance to antiviral drugs show that the dose response curve may not be monotonic. Traditional models can fail for nonmonotonic data and igno...

  8. METHOD OF HIGH-LEVEL TECHNOLOGY MAPPING BASED ON KNOWLEDGE(RULE)

    Institute of Scientific and Technical Information of China (English)

    Ma Cong; Wang Zuojian; Liu Mingye

    2001-01-01

    This paper studies the linkage problem between the result of high-level synthesis and back-end technology, presents a method of high-level technology mapping based on knowl edge, and studies deeply all of its important links such as knowledge representation, knowledge utility and knowledge acquisition. It includes: (1) present a kind of expanded production about knowledge of circuit structure; (2) present a VHDL-based method to acquire knowledge of tech nology mapping; (3) provide solution control strategy and algorithm of knowledge utility; (4)present a half-automatic maintenance method, which can find redundance and contradiction of knowledge base; (5) present a practical method to embed the algorithm into knowledge system to decrease complexity of knowledge base. A system has been developed and linked with three kinds of technologies, so verified the work of this paper.

  9. Socioscientific Issues-Based Instruction: An Investigation of Agriscience Students' Content Knowledge Based on Student Variables

    Science.gov (United States)

    Shoulders, Catherine W.; Myers, Brian E.

    2013-01-01

    Numerous researchers in science education have reported student improvement in areas of scientific literacy resulting from socioscientific issues (SSI)-based instruction. The purpose of this study was to describe student agriscience content knowledge following a six-week SSI-based instructional unit focusing on the introduction of cultured meat…

  10. 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.

  11. Web based knowledge network for planning and development

    Directory of Open Access Journals (Sweden)

    Bajić-Brković Milica V.

    2004-01-01

    Full Text Available The application of web-based technologies in developing the knowledge network for planning and development is the topic of this paper. Despite the fact that the web phenomenon is relatively new in the profession and not yet entirely explored, there is evidence which suggests that e-services are amongst the most rapidly growing sectors in the profession today. Numerous e-technologies for planning purposes have already been developed, and often fully integrated into the planning practice. This paper explores the state of the art in the field, and discusses the way the e-based alternative could be utilized in everyday planning practice. At the outset, the existing know-how is presented, followed by the assessment of the tools against the principles of a good planning practice. The challenges to the alternative are highlighted in the last section, and debated vis-à-vis the observed benefits. Implications for concrete planning practice are at the heart of the overall discussion.

  12. Speech-Language Pathologists' Knowledge of Genetics: Perceived Confidence, Attitudes, Knowledge Acquisition and Practice-Based Variables

    Science.gov (United States)

    Tramontana, G. Michael; Blood, Ingrid M.; Blood, Gordon W.

    2013-01-01

    The purpose of this study was to determine (a) the general knowledge bases demonstrated by school-based speech-language pathologists (SLPs) in the area of genetics, (b) the confidence levels of SLPs in providing services to children and their families with genetic disorders/syndromes, (c) the attitudes of SLPs regarding genetics and communication…

  13. Non-monotonic size dependence of diffusion and levitation effect: a mode-coupling theory analysis.

    Science.gov (United States)

    Nandi, Manoj Kumar; Banerjee, Atreyee; Bhattacharyya, Sarika Maitra

    2013-03-28

    We present a study of diffusion of small tagged particles in a solvent, using mode coupling theory (MCT) analysis and computer simulations. The study is carried out for various interaction potentials. For the first time, using MCT, it is shown that only for strongly attractive interaction potential with allowing interpenetration between the solute-solvent pair the diffusion exhibits a non-monotonic solute size dependence which has earlier been reported in simulation studies [P. K. Ghorai and S. Yashonath, J. Phys. Chem. B 109, 5824-5835 (2005)]. For weak attractive and repulsive potential the solute size dependence of diffusion shows monotonic behaviour. It is also found that for systems where the interaction potential does not allow solute-solvent interpenetration, the solute cannot explore the neck of the solvent cage. Thus these systems even with strong attractive interaction will never show any non-monotonic size dependence of diffusion. This non-monotonic size dependence of diffusion has earlier been connected to levitation effect [S. Yashonath and P. Santikary, J. Phys. Chem. 98, 6368 (1994)]. We also show that although levitation is a dynamic phenomena, the effect of levitation can be obtained in the static radial distribution function.

  14. A Prototype Knowledge-Based System for Developing Acquisition Strategies.

    Science.gov (United States)

    1988-03-01

    2 or 3 hours of continued knowledge acquisition. (Hall and -S Bandler , 1985:509-510; Tanimoto, 1987:286) Although the knowledge engineer should guide...Department of Research and Information, 1 January 1987. 13. Hall, Lawrence 0. and Wyllis Bandler . "Relational Knowledge Acqui- sition," IEEE Second...Corporation. Acquisition Expert System (AES) Tutorial. Washington, DC: Navy Materiel Command, April 1985. 34. Walters, Richard C. "KBEmacs: Where’s the AI

  15. 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.

  16. Non-monotonic course of protein solubility in aqueous polymer-salt solutions can be modeled using the sol-mxDLVO model.

    Science.gov (United States)

    Herhut, Marcel; Brandenbusch, Christoph; Sadowski, Gabriele

    2016-02-01

    Protein purification is often performed using cost-intensive chromatographic steps. To discover economic alternatives (e.g., crystallization), knowledge on protein solubility as a function of temperature, pH, and additives in solution as well as their concentration is required. State-of-the-art models for predicting protein solubility almost exclusively consider aqueous salt systems, whereas "salting-in" and "salting-out" effects induced by the presence of an additional polymer are not considered. Thus, we developed the sol-mxDLVO model. Using this newly developed model, protein solubility in the presence of one salt and one polymer, especially the non-monotonic course of protein solubility, could be predicted. Systems considered included salts (NaCl, Na-p-Ts, (NH(4))(2) SO(4)) and the polymer polyethylene glycol (MW: 2000 g/mol, 12000 g/mol) and proteins lysozyme from chicken egg white (pH 4 to 5.5) and D-xylose ketol-isomerase (pH 7) at 298.15 K. The results show that by using the sol-mxDLVO model, protein solubility in polymer-salt solutions can be modeled in good agreement with the experimental data for both proteins considered. The sol-mxDLVO model can describe the non-monotonic course of protein solubility as a function of polymer concentration and salt concentration, previously not covered by state-of-the-art models.

  17. The Global Convergence of Self-Scaling BFGS Algorithm with Nonmonotone Line Search for Unconstrained Nonconvex Optimization Problems

    Institute of Scientific and Technical Information of China (English)

    Hong Xia YIN; Dong Lei DU

    2007-01-01

    The self-scaling quasi-Newton method solves an unconstrained optimization problem by scaling the Hessian approximation matrix before it is updated at each iteration to avoid the possible large eigenvalues in the Hessian approximation matrices of the objective function. It has been proved in the literature that this method has the global and superlinear convergence when the objective function is convex (or even uniformly convex). We propose to solve unconstrained nonconvex optimization problems by a self-scaling BFGS algorithm with nonmonotone linear search. Nonmonotone line search has been recognized in numerical practices as a competitive approach for solving large-scale nonlinear problems. We consider two different nonmonotone line search forms and study the global convergence of these nonmonotone self-scale BFGS algorithms. We prove that, under some weaker condition than that in the literature, both forms of the self-scaling BFGS algorithm are globally convergent for unconstrained nonconvex optimization problems.

  18. Permanence of a general discrete-time two-species-interaction model with non-monotonic per capita growth rates

    CERN Document Server

    Kang, Yun

    2011-01-01

    Combined with all density-dependent factors, the per capita growth rate of a species may be non-monotonic. One important consequence is that species may suffer from weak Allee effects or strong Allee effects. In this paper, we study the permanence of a discrete-time two-species-interaction model with non-monotonic per capita growth rates for the first time. By using the average Lyapunov functions and extending the ecological concept of the relative nonlinearity, we find a simple sufficient condition for guaranteeing the permanence of systems that can model complicated two-species interactions. The extended relative nonlinearity allows us to fully characterize the effects of nonlinearities in the per capita growth functions with non-monotonicity. These results are illustrated with specific two species competition and predator-prey models of generic forms with non-monotone per capita growth rates.

  19. Study on Knowledge Propagation in Complex Networks Based on Preferences, Taking Wechat as Example

    Directory of Open Access Journals (Sweden)

    Si-hua Chen

    2014-01-01

    Full Text Available As platform based on users’ relationship to acquire, share, and propagate knowledge, Wechat develops very rapidly and becomes an important channel to spread knowledge. This new way to propagate knowledge is quite different from the traditional media way which enables knowledge to be spread surprisingly in Wechat. Based on complex network theory and the analysis of the factors which influence the knowledge propagation in Wechat, this paper summarizes the behavior preferences of Wechat users in knowledge propagation and establishes a Wechat knowledge propagation model. By the simulation experiment, this paper tests the model established and finds some important thresholds in knowledge propagation in Wechat. The findings are valuable for further studying the knowledge propagation in Wechat and provide theoretical proof for forecasting the scale and influence of knowledge propagation.

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

    DEFF Research Database (Denmark)

    Lorentzen, Anne

    2003-01-01

    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 learni...

  1. Experts' Knowledge Fusion in Model-Based Diagnosis Based on Bayes Networks

    Institute of Scientific and Technical Information of China (English)

    邓勇; 施文康

    2003-01-01

    In previous researches on a model-based diagnostic system, the components are assumed mutually independent. Howerver , the assumption is not always the case because the information about whether a component is faulty or not usually influences our knowledge about other components. Some experts may draw such a conclusion that "if component m1 is faulty, then component m2 may be faulty too". How can we use this experts' knowledge to aid the diagnosis? Based on Kohlas's probabilistic assumption-based reasoning method, we use Bayes networks to solve this problem. We calculate the posterior fault probability of the components in the observation state. The result is reasonable and reflects the effectiveness of the experts' knowledge.

  2. Nonmonotone Spectral Gradient Method for l_1-regularized Least Squares

    Directory of Open Access Journals (Sweden)

    Wanyou Cheng

    2016-08-01

    Full Text Available In the paper, we investigate a linear constraint optimization reformulation to a more general form of the l_1 regularization problem and give some good properties of it. We first show that the equivalence between the linear constraint optimization problem and the l_1 regularization problem. Second, the KKT point of the linear constraint problem always exists since the constraints are linear; we show that the half constraints must be active at any KKT point. In addition, we show that the KKT points of the linear constraint problem are the same as the stationary points of the l_1 regularization problem. Based on the linear constraint optimization problem, we propose a nonomotone spectral gradient method and establish its global convergence. Numerical experiments with compressive sense problems show that our approach is competitive with several known methods for standard l_2-l_1 problem.

  3. A new non-monotone fitness scaling for genetic algorithm

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    The properties of selection operators in the genetic algorithm (GA) are studied in detail. It is indicated that the selection of operations is significant for both improving the general fitness of a population and leading to the schema deceptiveness. The stochastic searching characteristics of GA are compared with those of heuristic methods. The influence of selection operators on the GA' s exploration and exploitation is discussed, and the performance of selection operators is evaluated with the premature convergence of the GA taken as an example based on One-Max function. In order to overcome the schema deceptiveness of the GA, a new type of fitness scaling, non monotone scaling, is advanced to enhance the evolutionary ability of a population. The effectiveness of the new scaling method is tested by a trap function and a needle-in-haystack (NiH) function.

  4. Users' Attitudes toward Web-Based Collaborative Learning Systems for Knowledge Management

    Science.gov (United States)

    Liaw, Shu-Sheng; Chen, Gwo-Dong; Huang, Hsiu-Mei

    2008-01-01

    The Web-based technology is a potential tool for supported collaborative learning that may enrich learning performance, such as individual knowledge construction or group knowledge sharing. Thus, understanding Web-based collaborative learning for knowledge management is a critical issue. The present study is to investigate learners' attitudes…

  5. Examining the Mismatch between Pupil and Teacher Knowledge in Acid-Base Chemistry.

    Science.gov (United States)

    Erduran, Sibel

    2003-01-01

    Reports a mismatch between teacher and pupil knowledge of acid-base chemistry as a result of controversial episodes from three science lessons. Suggests that the teacher's knowledge is guided by textbook information while the pupil's knowledge is based on direct experimental experience. Proposes that classroom activities should support the…

  6. Open Knowledge Maps: Creating a Visual Interface to the World’s Scientific Knowledge Based on Natural Language Processing

    Directory of Open Access Journals (Sweden)

    Peter Kraker

    2016-11-01

    Full Text Available The goal of Open Knowledge Maps is to create a visual interface to the world’s scientific knowledge. The base for this visual interface consists of so-called knowledge maps, which enable the exploration of existing knowledge and the discovery of new knowledge. Our open source knowledge mapping software applies a mixture of summarization techniques and similarity measures on article metadata, which are iteratively chained together. After processing, the representation is saved in a database for use in a web visualization. In the future, we want to create a space for collective knowledge mapping that brings together individuals and communities involved in exploration and discovery. We want to enable people to guide each other in their discovery by collaboratively annotating and modifying the automatically created maps. Das Ziel von Open Knowledge Map ist es, ein visuelles Interface zum wissenschaftlichen Wissen der Welt bereitzustellen. Die Basis für die dieses Interface sind sogenannte “knowledge maps”, zu deutsch Wissenslandkarten. Wissenslandkarten ermöglichen die Exploration bestehenden Wissens und die Entdeckung neuen Wissens. Unsere Open Source Software wendet für die Erstellung der Wissenslandkarten eine Reihe von Text Mining Verfahren iterativ auf die Metadaten wissenschaftlicher Artikel an. Die daraus resultierende Repräsentation wird in einer Datenbank für die Anzeige in einer Web-Visualisierung abgespeichert. In Zukunft wollen wir einen Raum für das kollektive Erstellen von Wissenslandkarten schaffen, der die Personen und Communities, welche sich mit der Exploration und Entdeckung wissenschaftlichen Wissens beschäftigen, zusammenbringt. Wir wollen es den NutzerInnen ermöglichen, einander in der Literatursuche durch kollaboratives Annotieren und Modifizieren von automatisch erstellten Wissenslandkarten zu unterstützen.

  7. 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.

  8. Knowledge base navigator facilitating regional analysis inter-tool communication.

    Energy Technology Data Exchange (ETDEWEB)

    Hampton, Jeffery Wade; Chael, Eric Paul; Hart, Darren M.; Merchant, Bion John; Chown, Matthew N.

    2004-08-01

    To make use of some portions of the National Nuclear Security Administration (NNSA) Knowledge Base (KB) for which no current operational monitoring applications were available, Sandia National Laboratories have developed a set of prototype regional analysis tools (MatSeis, EventID Tool, CodaMag Tool, PhaseMatch Tool, Dendro Tool, Infra Tool, etc.), and we continue to maintain and improve these. Individually, these tools have proven effective in addressing specific monitoring tasks, but collectively their number and variety tend to overwhelm KB users, so we developed another application - the KB Navigator - to launch the tools and facilitate their use for real monitoring tasks. The KB Navigator is a flexible, extensible java application that includes a browser for KB data content, as well as support to launch any of the regional analysis tools. In this paper, we will discuss the latest versions of KB Navigator and the regional analysis tools, with special emphasis on the new overarching inter-tool communication methodology that we have developed to make the KB Navigator and the tools function together seamlessly. We use a peer-to-peer communication model, which allows any tool to communicate with any other. The messages themselves are passed as serialized XML, and the conversion from Java to XML (and vice versa) is done using Java Architecture for XML Binding (JAXB).

  9. Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes.

    Science.gov (United States)

    Zhou, Du; Yuan, Xi; Gao, Haoxiang; Wang, Ailing; Liu, Jun; El Fakir, Omer; Politis, Denis J; Wang, Liliang; Lin, Jianguo

    2016-12-13

    The use of Finite Element (FE) simulation software to adequately predict the outcome of sheet metal forming processes is crucial to enhancing the efficiency and lowering the development time of such processes, whilst reducing costs involved in trial-and-error prototyping. Recent focus on the substitution of steel components with aluminum alloy alternatives in the automotive and aerospace sectors has increased the need to simulate the forming behavior of such alloys for ever more complex component geometries. However these alloys, and in particular their high strength variants, exhibit limited formability at room temperature, and high temperature manufacturing technologies have been developed to form them. Consequently, advanced constitutive models are required to reflect the associated temperature and strain rate effects. Simulating such behavior is computationally very expensive using conventional FE simulation techniques. This paper presents a novel Knowledge Based Cloud FE (KBC-FE) simulation technique that combines advanced material and friction models with conventional FE simulations in an efficient manner thus enhancing the capability of commercial simulation software packages. The application of these methods is demonstrated through two example case studies, namely: the prediction of a material's forming limit under hot stamping conditions, and the tool life prediction under multi-cycle loading conditions.

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

    Directory of Open Access Journals (Sweden)

    J. Wang

    2012-01-01

    Full Text Available

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

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

  11. 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.

  12. 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

  13. Contextual-Based Knowledge Creation for Agroindustrial Innovation

    Directory of Open Access Journals (Sweden)

    Elisa Anggraeni

    2017-08-01

    Full Text Available This paper discusses the knowledge creation process in one department, in a higher educational context, and the possible actions to take to improve the efficiency and effectiveness of the knowledge creation system in it. We conducted a case study at one department of a university that strives to improve its innovations, in terms of their quantity and quality.We used a soft system methodology to investigate the knowledge creation system in the chosen department. From the study, we conclude that the department can be considered as a learning organization, within which its staff continually create, acquire and transfer knowledge. This department has a learning environment which is conducive, concrete learning processes, and leadership that reinforces learning. In the context of producing agroindustry innovations, the knowledge creation system in this department is considered to be less effective since it frequently happens more at individual or small group levels. To improve its effectiveness, the management may facilitate the institutionalization of knowledge creation processes at every phase of the interactions between tacit and explicit knowledge.

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

    OpenAIRE

    2009-01-01

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

  15. D and D knowledge management information tool - a web based system developed to share D and D knowledge worldwide

    Energy Technology Data Exchange (ETDEWEB)

    Lagos, L.; Upadhyay, H.; Shoffner, P. [Applied Research Center, Florida International University, 10555 W. Flagler Street,EC2100, Miami, FL (United States)

    2013-07-01

    Deactivation and decommissioning (D and D) work is a high risk and technically challenging enterprise within the U.S. Department of Energy complex. During the past three decades, the DOE's Office of Environmental Management has been in charge of carrying out one of the largest environmental restoration efforts in the world: the cleanup of the Manhattan Project legacy. In today's corporate world, worker experiences and knowledge that have developed over time represent a valuable corporate asset. The ever-dynamic workplace, coupled with an aging workforce, presents corporations with the ongoing challenge of preserving work-related experiences and knowledge for cross-generational knowledge transfer to the future workforce [5]. To prevent the D and D knowledge base and expertise from being lost over time, the DOE and the Applied Research Center at Florida International University (FIU) have developed the web-based Knowledge Management Information Tool (KM-IT) to capture and maintain this valuable information in a universally available and easily accessible and usable system. The D and D KM-IT was developed in collaboration with DOE Headquarters (HQ), the Energy Facility Contractors Group (EFCOG), and the ALARA [as low as reasonably achievable] Centers at Savannah River Sites to preserve the D and D information generated and collected by the D and D community. This is an open secured system that can be accessed from https://www.dndkm.org over the web and through mobile devices at https://m.dndkm.org. This knowledge system serves as a centralized repository and provides a common interface for D and D-related activities. It also improves efficiency by reducing the need to rediscover knowledge and promotes the reuse of existing knowledge. It is a community-driven system that facilitates the gathering, analyzing, storing, and sharing of knowledge and information within the D and D community. It assists the DOE D and D community in identifying potential solutions

  16. The knowledge-based economy modeled, measured, simulated

    CERN Document Server

    Leydesdorff, Loet

    2006-01-01

    "Challenging, theoretically rich yet anchored in detailed empirical analysis, Loet Leydesdorff's exploration of the dynamics of the knowledge-economy is a major contribution to the field. Drawing on his expertise in science and technology studies, systems theory, and his internationally respected work on the 'triple helix', the book provides a radically new modelling and simulation of knowledge systems, capturing the articulation of structure, communication, and agency therein. This work will be of immense interest to both theorists of the knowledge-economy and practitioners in science policy." Andrew Webster Science & Technology Studies, University of York, UK

  17. Local Knowledge and Community–Based Assessment of ...

    African Journals Online (AJOL)

    Agribotix GCS 077

    1Department of Planning, Faculty of Planning and Land Management, University for Development Studies. Email: ... body of knowledge on disaster prevention and mitigation, early warning, preparedness and ..... Even school buildings are.

  18. Graph-based knowledge representation computational foundations of conceptual graphs

    CERN Document Server

    Chein, Michel; Chein, Michel

    2008-01-01

    In addressing the question of how far it is possible to go in knowledge representation and reasoning through graphs, the authors cover basic conceptual graphs, computational aspects, and kernel extensions. The basic mathematical notions are summarized.

  19. Knowledge-based diagnostic system with probabilistic approach

    Directory of Open Access Journals (Sweden)

    Adina COCU

    2007-12-01

    Full Text Available This paper presents a knowledge learning diagnostic approach implemented in an educational system. Probabilistic inference is used here to diagnose knowledge understanding level and to reason about probable cause of learner’s misconceptions. When one learner takes an assessment, the system use probabilistic reasoning and will advice the learner about the most appropriate error cause and will also provide, the conforming part of theory which treats errors related to his misconceptions.

  20. A process-based approach to engineering design knowledge reuse

    OpenAIRE

    Baxter, David

    2007-01-01

    Manufacturing enterprises are under increasing pressure to produce products of higher quality at lower cost in shorter time frames if they are to remain competitive. Engineering design support methods can help companies to achieve these goals. One such approach is design knowledge reuse. Industrial requirements have been identified as (i) the ability to rapidly create product variants; (ii) the ability to capture and re-use design knowledge, and; (iii) the capability to support...

  1. Evidence based educational policy and practice: the case of applying the educational effectiveness knowledge base

    NARCIS (Netherlands)

    Scheerens, J.

    2014-01-01

    Evidence based educational policy and practice means, first of all, that new programs use relevant scientific knowledge for design purposes, or for critical review of initial program ideas (ex ante evaluation). Secondly, before programs are implemented on a large scale it is considered desirable to

  2. Research on Knowledge-Based Optimization Method of Indoor Location Based on Low Energy Bluetooth

    Science.gov (United States)

    Li, C.; Li, G.; Deng, Y.; Wang, T.; Kang, Z.

    2017-09-01

    With the rapid development of LBS (Location-based Service), the demand for commercialization of indoor location has been increasing, but its technology is not perfect. Currently, the accuracy of indoor location, the complexity of the algorithm, and the cost of positioning are hard to be simultaneously considered and it is still restricting the determination and application of mainstream positioning technology. Therefore, this paper proposes a method of knowledge-based optimization of indoor location based on low energy Bluetooth. The main steps include: 1) The establishment and application of a priori and posterior knowledge base. 2) Primary selection of signal source. 3) Elimination of positioning gross error. 4) Accumulation of positioning knowledge. The experimental results show that the proposed algorithm can eliminate the signal source of outliers and improve the accuracy of single point positioning in the simulation data. The proposed scheme is a dynamic knowledge accumulation rather than a single positioning process. The scheme adopts cheap equipment and provides a new idea for the theory and method of indoor positioning. Moreover, the performance of the high accuracy positioning results in the simulation data shows that the scheme has a certain application value in the commercial promotion.

  3. An Analysis of Knowledge Sharing Approaches for Emerging-technology-based Strategic Alliances in Electronic Industry

    Institute of Scientific and Technical Information of China (English)

    LIU Ju; LI Yong-jian

    2006-01-01

    Emerging technologies are now initiating new industries and transforming old ones with tremendous power. They are different games compared with established technologies with distinctive characteristics of knowledge management in knowledge-based and technological-innovation-based competition. How to obtain knowledge advantage and enhance competences by knowledge sharing for emerging-technology-based strategic alliances (ETBSA) is what we concern in this paper. On the basis of our previous work on emerging technologies'distinctive attributes, we counter the wide spread presumption that the primary purpose of strategic alliances is knowledge acquiring by means of learning. We offers new insight into the knowledge sharing approaches of ETBSAs - the knowledge integrating approach by which each member firm integrates its partner's complementary knowledge base into the products and services and maintains its own knowledge specialization at the same time. So that ETBSAs should plan and practice their knowledge sharing strategies from the angle of knowledge integrating rather than knowledge acquiring. A four-dimensional framework is developed to analyze the advantages and disadvantages of these two knowledge sharing approaches. Some cases in electronic industry are introduced to illustrate our point of view.

  4. Evolving Expert Knowledge Bases: Applications of Crowdsourcing and Serious Gaming to Advance Knowledge Development for Intelligent Tutoring Systems

    Science.gov (United States)

    Floryan, Mark

    2013-01-01

    This dissertation presents a novel effort to develop ITS technologies that adapt by observing student behavior. In particular, we define an evolving expert knowledge base (EEKB) that structures a domain's information as a set of nodes and the relationships that exist between those nodes. The structure of this model is not the particularly novel…

  5. Subject-Matter Didactics as a Central Knowledge Base for Teachers, or Should It Be Called Pedagogical Content Knowledge?

    Science.gov (United States)

    Kansanen, Pertti

    2009-01-01

    This paper compares the concepts of "subject-matter didactics" (Fachdidaktik) with "pedagogical content knowledge". The former is based on German didaktik and has a long tradition. The latter was introduced by Lee Shulman in the late 1980s and has no tradition in the same way as its German counterpart. Both of the concepts deal…

  6. New construction for expert system based on innovative knowledge discovery technology

    Institute of Scientific and Technical Information of China (English)

    YANG BingRu; SONG Wei; XU ZhangYan

    2007-01-01

    Knowledge acquisition is the bottleneck of expert system. To solve this problem, KD (D&K), which is a comprehensive knowledge discovery process model cooperating both database and knowledge base, and related technology are proposed. Then based on KD (D&K) and related technology, the new construction of Expert System based on Knowledge Discovery (ESKD) is proposed. As the key knowledge acquisition component of ESKD, KD (D&K) is composed of KDD* and KDK*. KDD*-the new process model based on double bases cooperating mechanism; KDK*- the new process model based on double-basis fusion mechanism are introduced, respectively. The overall framework of ESKD is proposed. Some sub-systems and dynamic knowledge base system are discussed. Finally, the effectiveness and advantages of ESKD are tested in a real-world agriculture database. We hope that ESKD may be useful for the new generation of expert systems.

  7. A Knowledge Modeling Method for Computer Graphics Design & Production Based on Ontology

    Directory of Open Access Journals (Sweden)

    Chen Tong

    2017-01-01

    Full Text Available As one of the most critical stages of CG (Computer Graphics industry, CG design & production needs the support of professional knowledge and practice experience of multidisciplinary. With the outstanding performance in knowledge sharing, integration and reuse, knowledge modeling could increase greatly the efficiency, reduce the cost and avoid repeated error in CG design & production. However, knowledge modeling of CG design & production differs greatly from those of other fields. On the one hand, it is similar to physical product design, which involves great deal of tacit knowledge such as modeling skills, reasoning knowledge and so on. On the other hand, as film, CG design & production needs a lot of unstructured description information. The heterogeneity between physical product and film makes knowledge modeling more complicated. Thus a systematic knowledge modelling method based on Ontology is proposed to aid CG design & production in this paper. CG animation knowledge is capture and organized from viewpoint of three aspects: requirements and design and production. The knowledge are categorized into static and dynamic knowledge, and Ontology is adopted to construct a hierarchic model to organize the knowledge, so as to offer a uniform communication semantic foundations for designers from different fields. Based on animation script, the CG design task model is proposed to drive the organization and management of different knowledge involved in CG design & production. Finally, we apply this method in the knowledge modeling of naked-eye animation design and production to illustrate effectiveness of this method.

  8. On the formation of localized peaks and non-monotonic tailing of breakthrough curves

    Science.gov (United States)

    Siirila, Erica R.; Sanchez-Vila, Xavier; Fernàndez-Garcia, Daniel

    2014-05-01

    While breakthrough curve (BTC) analysis is a traditional tool in hydrogeology to obtain hydraulic parameters, in recent years emphasis has been placed on analyzing the shape of the receding portion of the curve. A number of field and laboratory observations have found a constant BTC slope in log-log space, and thus it has been hypothesized that a power law behavior is representative of real aquifers. Usually, monotonicity of the late-time BTC slope is just assumed, meaning that local peaks in the BTC are not considered, and that a local (in time) increase or decrease of BTC slope is also not considered. We contend that local peaks may exist but are sometimes not reported for a number of reasons. For example, when BTCs are obtained from actual measurements, sub-sampling may mask non-monotonicity, or small peaks may be reported as measurement errors and thus smoothed out or removed. When numerical analyses of synthetic aquifers are performed, the simulation method may yield artificially monotonous curves as a consequence of the methods used. For example, Eulerian methods may suffer from numerical dispersion, where curves tend to become over-smoothed while Lagrangian methods may suffer from artificial BTC oscillations stemming from the reconstruction of concentrations from a limited number of particles. A paradigm shift in terms of the BTC shape must also accompany two major advancements within the hydrogeology field: 1) the increase of high frequency data and progression of data collection techniques that diminish the problems of under-sampling BTCs and 2) advancements in supercomputing and numerical simulation allowing for higher resolution of flow and transport problems. As more information is incorporated into BTCs and/or they are obtained in more spatial locations, it is likely that classical definitions of BTC shapes will no longer be adequate descriptors for future treatment of contaminant transport problems. For example, the presence of localized peaks in BTCs

  9. Development of knowledge acquisition methods for knowledge base construction for autonomous nuclear plant

    Energy Technology Data Exchange (ETDEWEB)

    Sasajima, M.; Kitamura, Y.; Mizoguchi, R. [Osaka Univ., Ibaraki (Japan). Inst. of Scientific and Industrial Research; Yoshikawa, S.

    1994-03-01

    This report describes a development of an ontology for computerized representation of behaviors and functions of number power plants. This ontology also enables computers to predict plant behaviors under assumed changes of boundary conditions and to derive cause identification suggestions of observed anomalies, as well as to represent functions and behaviors. Technical requirements in this development were recognized as clarified distinguishment of functions from behaviors and efficient plant behavior reasoning, and these have been successfully attained. The purpose of this development is to achieve knowledge sharing between human and automized instrumentation and control system about nuclear plant functions and behaviors, to realize cooperation of human and automized system for safe and cost acceptable nuclear plant operation. (author)

  10. 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 ...

  11. Analysis of a Knowledge-Management-Based Process of Transferring Project Management Skills

    Science.gov (United States)

    Ioi, Toshihiro; Ono, Masakazu; Ishii, Kota; Kato, Kazuhiko

    2012-01-01

    Purpose: The purpose of this paper is to propose a method for the transfer of knowledge and skills in project management (PM) based on techniques in knowledge management (KM). Design/methodology/approach: The literature contains studies on methods to extract experiential knowledge in PM, but few studies exist that focus on methods to convert…

  12. Regional knowledge base and firms´ exploration and exploitation: a multilevel approach

    NARCIS (Netherlands)

    L.M. da Costa Monteiro de Carvalho (Luís); W. van Winden (Willem)

    2008-01-01

    textabstractHow and why do firms interact with and benefit from regionally based sources of knowledge? Although firms increasingly search and source knowledge worldwide and many are inserted in global production and knowledge networks, there is a refreshed interest in the economic geography literatu

  13. 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…

  14. A Conceptual Framework for a Web-based Knowledge Construction Support System.

    Science.gov (United States)

    Kang, Myunghee; Byun, Hoseung Paul

    2001-01-01

    Provides a conceptual model for a Web-based Knowledge Construction Support System (KCSS) that helps learners acquire factual knowledge and supports the construction of new knowledge through individual internalization and collaboration with other people. Considers learning communities, motivation, cognitive styles, learning strategies,…

  15. A Platform for Supporting Knowledge Mining and Reuse Based on Context Information of a Project

    Directory of Open Access Journals (Sweden)

    I-Chin Wu

    2010-06-01

    Full Text Available Organizations implement Knowledge Management Systems (KMS to maximize the effectiveness and reuse of knowledge assets in order to increase productivity and profitability. Thus, effective project management can place great demands on knowledge management solutions designed to support and streamline the execution of project-related tasks. Accordingly, in this work we extract knowledge from historical projects, design a project-in-context (PIC meta-model, and deploy a platform that facilitates the capture and reuse of project-specific information based on the context. The research areas addressed in the work are as follows. (1 Knowledge acquisition: analyzing the type of project and its associated attributes and defining general, but essential, project context information based on the PIC model. (2 Knowledge discovery: the use of text mining and data mining techniques to extract knowledge items needed by workers, and discover the relationships between various knowledge items. (3 Knowledge utilization based on the context: with the proposed model and methods, several applications related to the reuse of project knowledge by pull- and push-based knowledge management strategies are developed to achieve effective project management. From the perspective of project management, the proposed model and system can help knowledge workers understand information about a current research project and resolve problems effectively. [Article content in Chinese; Extended abstract in English

  16. Analysis of a Knowledge-Management-Based Process of Transferring Project Management Skills

    Science.gov (United States)

    Ioi, Toshihiro; Ono, Masakazu; Ishii, Kota; Kato, Kazuhiko

    2012-01-01

    Purpose: The purpose of this paper is to propose a method for the transfer of knowledge and skills in project management (PM) based on techniques in knowledge management (KM). Design/methodology/approach: The literature contains studies on methods to extract experiential knowledge in PM, but few studies exist that focus on methods to convert…

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

    DEFF Research Database (Denmark)

    Hvam, Lars; Malis, Martin

    2003-01-01

    How can complex product models be documented in a formalised way that consider both development and maintenance? The need for an effective documentation tool has emerged in order to document the development of product models. The product models have become more and more complex and comprehensive....... 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...

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

    OpenAIRE

    Cvernová, Terezie

    2015-01-01

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

  19. Nonmonotonic Recursive Polynomial Expansions for Linear Scaling Calculation of the Density Matrix.

    Science.gov (United States)

    Rubensson, Emanuel H

    2011-05-10

    As it stands, density matrix purification is a powerful tool for linear scaling electronic structure calculations. The convergence is rapid and depends only weakly on the band gap. However, as will be shown in this letter, there is room for improvements. The key is to allow for nonmonotonicity in the recursive polynomial expansion. On the basis of this idea, new purification schemes are proposed that require only half the number of matrix-matrix multiplications compared to previous schemes. The speedup is essentially independent of the location of the chemical potential and increases with decreasing band gap.

  20. Non-monotonicity in the quantum-classical transition: Chaos induced by quantum effects

    CERN Document Server

    Kapulkin, A; Kapulkin, Arie; Pattanayak, Arjendu K.

    2007-01-01

    The transition from classical to quantum behavior for chaotic systems is understood to be accompanied by the suppression of chaotic effects as the relative size of $\\hbar$ is increased. We show evidence to the contrary in the behavior of the quantum trajectory dynamics of a dissipative quantum chaotic system, the double-well Duffing oscillator. The classical limit in the case considered has regular behavior, but as the effective $\\hbar$ is increased we see chaotic behavior. This chaos then disappears deeper into the quantum regime, which means that the quantum-classical transition in this case is non-monotonic in $\\hbar$.