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| | Requirements Acquisition |
 | | The complexity of knowledge engineering as illustrated in Figures 1 through 6, and the demands of methodologies suggest that computer support of the knowledge engineering process is essential. | | | Knowledge acquisition emerged as a distinct area of research and development in the early 1980s as a response to the need to provide scientific and engineering methodologies for the construction of expert and knowledge-based systems. | | | An overview of knowledge engineering research, practice, theories, methodologies, and tools is presented, and parallels are drawn with analogous phenomena and activities in requirements engineering. |
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http://ksi.cpsc.ucalgary.ca/articles/SE/ReqAcq
(10550 words)
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| | Knowledge Management vs Knowledge Engineering. |
| | For example, to the developer of knowledge-base computer software systems, the knowledge engineer is most likely a computer scientist specializing the development of artificial intelligence knowledge bases. | | | The terms knowledge management and knowledge engineering seem to be used as interchangeably as the terms data and information used to be. | | | The knowledge engineers should also be establishing the processes by which knowledge requests are examined, information assembled, and knowledge returned to the requestor. |
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http://www.km-forum.org/kmvske.htm
(451 words)
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| | Knowledge and knowledge engineering |
| | Knowledge engineering, used mainly with reference to computer science, has been defined by Feigenbaum (1980) as the process of reducing a large body of knowledge to a precise set of facts and rules. | | | Knowledge representation consists in the symbolic way the acquired knowledge is expressed and structured in order to be dealt in a meaningful way by the machine. | | | What is meant by knowledge engineering and problem solving needs to be expressed in order to be able to point out, at a later stage, what are the demands to perform these tasks and, consequently, which capacities are required to satisfy those demands (i.e. |
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http://www.problemistics.org/learning/knowledge.engineering.html
(4677 words)
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| | Knowledge Sharing Papers |
| | Much current work on knowledge acquisition for intelligent systems concentrates on the use of predefined models of problem-solving methods to define the roles in which domain knowledge is used to solve particular application tasks. | | | Principal obstacles to all current work in knowledge sharing involve the difficulties of achieving consensus regarding what knowledge representations mean, of enumerating the context features and background knowledge required to ascribe meaning to a particular knowledge representation, and of describing knowledge independent of specific interpreters or inference engines. | | | The paper describes a formal approach to representing engineering knowledge, describes its role in a computational framework that integrates a heterogeneous mix of software tools, and discusses its relationship to current and emerging data ex change standards. |
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http://www-ksl.stanford.edu/knowledge-sharing/papers/README.html
(4800 words)
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| | Class 1: Knowledge Engineering |
| | The area of Knowledge Engineering is concerned with the use of logics to represent knowledge, and then reason using the constructed knowledge base. | | | The knowledge engineering task begins with knowledge acquisition-the knowledge engineer has to interview the experts in the domain in order to ascertain what is important, and what needs to be represented in the KR. | | | It is important to encode knowledge at the most abstract level possible since this allows one to generalize to new situations, yet, one shouldn't lose the ability to represent specific instances. |
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http://www.mines.edu/Academic/courses/math_cs/macs404/node30.html
(274 words)
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| | Handbook of Software Engineering and Knowledge Engineering |
| | It covers: a) essential concepts of software engineering, b) fundamental concepts of knowledge engineering, c) applications of software engineering to knowledge engineering, d) applications of knowledge engineering to software engineering, and e) emerging technologies in software engineering and knowledge engineering. | | | The Handbook of Software Engineering and Knowledge Engineering is the first comprehensive handbook covering these two important areas that have become interwoven in recent years. | | | Each chapter is written in a way that a practitioner of software engineering and knowledge engineering can easily understand and obtain useful information. |
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http://www.ksi.edu/seke/hand.html
(2014 words)
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| | Amazon.com: Books: Knowledge Engineering and Management: The CommonKADS Methodology |
| | Knowledge engineering deals with the development of information systems in which knowledge and reasoning play pivotal roles. | | | Knowledge management, a newly developed field at the intersection of computer science and management, deals with knowledge as a key resource in modern organizations. | | | Managing knowledge within an organization is inconceivable without the use of advanced information systems; the design and implementation of such systems pose great organization as well as technical challenges. |
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http://www.amazon.com/exec/obidos/tg/detail/-/0262193000?v=glance
(687 words)
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| | AI Guide: Knowledge Engineering (2) |
| | However, 'knowledge elicitation workben ches', or 'knowledge engineering environments', are commercially available (e.g KEE, KnAcqTools); their principle use is to simplify the task of converting a protocol into frames, rules, etc., and inserting these structures into an expert system shell as soon as they are formulated. | | | The KE uses the data from the knowledge acquisition sessions to build a good model of the expertise that the DE is using to solve problems in the domain. | | | Obtaining knowledge for use in the knowledge base of an expert system. |
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http://www.mdx.ac.uk/www/ai/samples/ke/51-know.htm
(668 words)
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| | Process Life Cycle Engineering |
| | As such, we describe our approach to the engineering and redesign of complex organizational processes using a knowledge-based computing environment, as well as some of the associated technologies we haved developed and deployed in large-scale business and government organizations. | | | Some software engineering processes fall into this category (e.g., software reviews, inspections, configuration management, and software testing), while others do not (software requirements analysis and system design). | | | We have developed a knowledge-based computing environment for engineering complex organizational processes [MS90]. |
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http://www.usc.edu/dept/ATRIUM/Papers/Process_Life_Cycle.html
(8943 words)
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| | Managing knowledge through Wisdom™ |
| | Although the knowledge described in the tables is still quite simplified and incomplete, the aim of the exercise is to show the possible representation of knowledge concerning requirement classification using Wisdom™. | | | That is, knowledge is the process of matching object and object-type in the light of a goal (Lucardie, 1994). | | | Knowledge can and should be evaluated by the decisions or actions to which it leads (Davenport and Pruzak 1998). |
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http://sern.ucalgary.ca/KSI/KAW/KAW99/papers/Dignum1
(8209 words)
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| | Cognitive Informatics: a Knowledge Engineering Perspective |
| | Ontological engineering is a process that facilitates construction of the knowledge base of an intelligent system, which can be defined as a computer program that can duplicate problem-solving capabilities of human experts in specific areas. | | | Ontological engineering in artificial intelligence (AI) has the practical goal of constructing frameworks for knowledge that allow computational systems to tackle knowledge-intensive problems and supports knowledge sharing and reuse. | | | This paper presents knowledge engineering and development of an ontology for structuring the knowledge base of an expert system. |
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http://csdl2.computer.org/persagen/DLAbsToc.jsp?resourcePath=/dl/proceedings/&toc=comp/proceedings/icci/2002/1724/00/1724toc.xml&DOI=10.1109/COGINF.2002.1039282
(282 words)
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| | Software Engineering Body of Knowledge Version 1.0, A |
| | This body of knowledge can assist organizations in defining and improving the software engineering competencies of their workforces; it can help educational institutions in defining software engineering curricula; it can provide a basis for classifying academic and industrial research and development efforts; and it can improve the understanding and practice of software engineering. | | | The lack of consensus regarding software engineering practice and the requisite competencies creates confusion and has serious consequences for the evaluation, acquisition, and application of software engineering knowledge. | | | The Software Engineering Institute (SEI) is a federally funded research and development center sponsored by the U.S. Department of Defense and operated by Carnegie Mellon University. |
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http://www.sei.cmu.edu/publications/documents/99.reports/99tr004/99tr004abstract.html
(201 words)
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| | Engineering Knowledge Management |
| | It is this integration of the computer's new skills with the knowledge of humans that is called Engineering Knowledge Management (EKM). | | | A new era for the computer is emerging 'Knowledge Retrieval and Pattern Recognition'. | | | Thus, it is necessary to establish a Knowledge Base Vocabulary (KBV) which allows EKM software tools to impose sensible search constraints which result in rapid knowledge retrieval. |
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http://www.comp.lancs.ac.uk/edc/schemebuilder/management.html
(927 words)
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| | KNOWLEDGE ENGINEERING (G5026) |
| | It introduces techniques for the elicitation of knowledge from experts, and for knowledge analysis. | | | The course assumes a background in AI knowledge representation and general search techniques. | | | Through the design of a knowledge-based system, students will learn about the inherent limitations of the techniques available, and the practical problems of knowledge elicitation. |
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http://www.cogs.susx.ac.uk/informatics_docs/ughandbook/bookletnode58.html
(298 words)
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| | Mastery InSight Institute Workshop: NLP & Knowledge Engineering |
| | Knowledge Engineering is about building software systems to behave & 'think' like human experts. | | | Your presentation of AI & Knowledge Engineering & how computer software systems can learn & decide was quite interesting. | | | My expertise was in the Artificial Intelligence field, specifically doing Knowledge Engineering, which is surprisingly similar to NLP modeling. |
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http://www.altfeld.com/mastery/seminars/desc-knowledge.html
(3389 words)
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| | Sigma Knowledge Engineering Environment |
| | The Sigma knowledge engineering environment is an system for developing, viewing and debugging theories in first order logic. | | | It works with Knowledge Interchange Format (KIF) and is optimized for the Suggested Upper Merged Ontology (SUMO). |
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http://sigmakee.sourceforge.net
(43 words)
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| | Stanford Knowledge Systems, AI Laboratory |
| | KSL conducts research in the areas of knowledge representation and automated reasoning in the Artificial Intelligence Laboratory of the Department of Computer Science at Stanford University. | | | Current work focuses on enabling technology for the Semantic Web, hybrid reasoning, explaining answers from heterogeneous applications, deductive question-answering, representing and reasoning with multiple contexts, knowledge aggregation, ontology engineering, and knowledge-based technology for intelligence analysts and other knowledge workers. |
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http://www-ksl.stanford.edu
(65 words)
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| | International Journal of Software Eng. & Knowledge Eng. |
| | A central theme of this journal is the interplay between software engineering and knowledge engineering: how knowledge engineering methods can be applied to software engineering, and vice versa. | | | It is intended to serve as a forum for researchers, practitioners, and developers to exchange ideas and results for the advancement of software engineering and knowledge engineering. | | | The journal IJSEKE is complemented by the annual International Conference on Software Engineering and Knowledge Engineering held in June each year. |
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http://www.ksi.edu/ijsk.html
(1308 words)
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| | Ontological Foundations of Knowledge Engineering |
| | From this perspective, a knowledge base can in principle acquire a high added value only provided that the knowledge it contains is sufficiently independent of a specific task. | | | Characterised by a strong inter-disciplinary attitude, the group working on the Ontological Foundations of Knowledge Engineering at LADSEB-CNR aims to explore the synergies between Formal Ontology, Natural Language Semantics and Knowledge Representation in order to establish rigorous methodological foundations for Knowledge Engineering. | | | Since the organization of the First International Workshop on Formal Ontology in Conceptual Analysis and Knowledge Representation in 1993, the group has played a leading role in promoting the importance of ontological issues within the Artificial Intelligence community. |
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http://www.ercim.org/publication/Ercim_News/enw25/guarino.html
(512 words)
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| | Knowledge engineering -- Facts, Info, and Encyclopedia article |
| | Knowledge engineering is a relatively new branch of (Click link for more info and facts about software engineering) software engineering. | | | It is also related to the field of (The branch of philosophy that analyzes inference) logic (reasoning) as the knowledge produced by the systems built often have content that is structured by our understanding of how human reasoning or logic works. | | | It is the field of skills required to build knowledge systems: (An organized body of related information) databases, (Click link for more info and facts about expert system) expert systems and (Click link for more info and facts about decision support system) decision support systems. |
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http://www.absoluteastronomy.com/encyclopedia/k/kn/knowledge_engineering.htm
(151 words)
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| | Elsevier.com - Data & Knowledge Engineering |
| | The major aim of the journal is to identify, investigate and analyze the underlying principles in the design and effective use of these systems. | | | DKE achieves this aim by publishing original research results, technical advances and news items concerning data engineering, knowledge engineering, and the interface of these two fields. | | | Classification of Fields relevant for Data and Knowledge Engineering |
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http://www.elsevier.com/inca/publications/store/5/0/5/6/0/8
(317 words)
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| | Welcome to Data and Knowledge Engineering home-page |
| | Data and Knowledge Engineering is one of the divisions in NCST actively involved in research in the areas of DBMS, Knowledge Management and Semantic Web. | | | DAKE group is continuously broadening its scope by including areas like Agent Technology, Knowledge Management, Semantic Web, NLP and Speech recognition. | | | Carry out research activities in the varied areas related to DBMS, Knowledge Management and Semantic Web. |
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http://www.ncb.ernet.in/groups/dake
(118 words)
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| | Chapter 1 - Philosophical basis |
| | In this view, the knowledge engineer attempts to model the knowledge and problem solving techniques of the domain expert into the artificial intelligent system. | | | In this view, the assumption is to apply conventional knowledge engineering techniques to transfer human knowledge into artificial intelligent systems. | | | •	Artificial Intelligence is the study of knowledge representation and |
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http://pages.cpsc.ucalgary.ca/~kremer/courses/CG/CGlecture_notes.html
(8343 words)
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| | UMCP ENEE 748D Indepth Course Description |
| | Engineering approaches to an emerging technology that involve: | | | Automating hypothesis formation and evaluation; generalization; feature space and knowledge representation; knowledge approximation. | | | Overview of relational databases; intelligent database management and data processing; relational databases coupled to expert systems; design, utilization and evaluation. |
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http://www.ee.umd.edu/medlab/courses/enee748d/748d_synopsis.html
(284 words)
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| | Knowledge Acquisition Workshops |
| | The Knowledge Systems Laboratory at Stanford University has an ftp archive of papers and reports from many sources related to knowledge acquisition and knowledge-based systems. | | | As a spin-off from some of the tracks at KAW96 a AAAI Spring Symposium on Artificial Intelligence in Knowledge Management took place at Stanford University, March 24-26, 1997. | | | CoMo-Kit project for Knowledge Modeling and Workflow, University of Kaiserslautern |
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http://ksi.cpsc.ucalgary.ca/KAW/KAW.html
(479 words)
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| | Product data management including Data representation and Process |
| | The framework consists of models and articles of data schemas, main processes, information technologies, and reference links for engineering and manufacturing information systems. | | | A STUDENT who is interested in engineering information systems can find a lecture of PDM (under Knowledge Managment menu) and various supporting articles. | | | A PUBLISHER of technical books or magazins can find interesting KEDB artcles in the KEDB, use the below search window. |
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http://engdb.tripod.com
(257 words)
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| | Visual Knowledge Engineering |
| | Index Terms- visual knowledge engineering; knowledge acquisition; knowledge encoding; knowledge representation formalisms; large-scale debugging; graphical rule traces; complementary visual programming; program visualization; software environment; KEATS; hypertext transcript analyzer; direct graph manipulation sketchpad; dependency viewers; logical rule dependencies; knowledge engineering; programming environments; visual programming | | | "Visual Knowledge Engineering," IEEE Transactions on Software Engineering, vol. 16, no. 10, pp. | | | [13] B. Myers, "The state of the art in visual programming and program visualization," in A. Kilgour and R. Earnshaw, Ed., Graphics Tools for Software Engineering. |
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http://csdl2.computer.org/persagen/DLAbsToc.jsp?resourcePath=/dl/trans/ts/&toc=comp/trans/ts/1990/10/extoc.xml&DOI=10.1109/32.60296
(532 words)
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| | Master’s Program Content and Knowledge Engineering (CKE) |
| | The Center for Content and Knowledge Engineering offers an education programme in Content and Knowledge Engineering (CKE) that results in the degree Master of Science in Information Science at Utrecht University. | | | Information about master thesis and on currently available projects can be found here. | | | This program has started in September 2003, and starts every February and September of the following years. |
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http://www.informationscience.nl
(253 words)
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| | Previous knowledge of engineering required? |
| | I plan to study computer engineering or something similar and I build computers and such, but I don't know that much about circuits, etc. Any help would be appreciated! | | | "I plan to study computer engineering or something similar and I build computers and such, but I don't know that much about circuits, etc. " | | | You will have maybe one engineering design class. |
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http://www.collegeconfidential.com/discus/messages/5/45303.html
(514 words)
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| | Knowledge Engineering |
| | on the basis of applying technical knowledge to the range of Laboratoire Garnier colourants to identify warm, cool and neutral variants of various depths (light, dark, medium). | | | The data was sorted into tables to clarify which were suitable in each case, the | | | After collecting the knowledge through knowledge elicitation it was necessary to represent this knowledge in diagram form, |
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http://intsys.fin.qub.ac.uk/intsys/0102/tcp/know.htm
(832 words)
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| | Data & Knowledge Engineering - Staff - M. Schrefl |
| | He currently leads the Department of Business Informatics - Data and Knowledge Engineering at University of Linz, with projects in data warehousing, workflow management, and web engineering. | | | Data & Knowledge Engineering - Staff - M. Schrefl |
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http://www.dke.uni-linz.ac.at/staff/mschrefl.html
(182 words)
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| | Merriam-Webster Online |
| | applies to knowledge acquired especially through formal, often advanced, schooling . | | | For More Information on "knowledge" go to Britannica.com | | | d : the fact or condition of having information or of being learned knowledge> |
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http://www.m-w.com/cgi-bin/dictionary?book=Dictionary&va=knowledge
(189 words)
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| | Knowledge Engineering Group |
| | Our methodological focus is on the use of techniques from machine learning and data mining for knowledge acquisition by analysis of existing data or text collections, by interaction with human experts, or by experimentation and simulation. | | | Computer Science Department at the Technical University Darmstadt has been established in 2004. | | | We concentrate on the acquisition of explicit, formalizable knowledge from sources that contain relevant information in implicit or not directly accessible form. |
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http://www.ke.informatik.tu-darmstadt.de
(93 words)
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| | ICAPS 2005 Competition on Knowledge Engineering |
| | KE for AI Planning has been defined as "the process that deals with the acquisition, validation and maintenance of planning domain models, and the selection and optimization of appropriate planning machinery to work on them. | | | Hence, knowledge engineering processes support the planning process: they comprise all of the off-line, knowledge-based aspects of planning that are to do with the application being built, and any on-line processes that | | | The aims of the Knowledge Engineering (KE) Competition are to |
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http://scom.hud.ac.uk/scomtlm/competition
(231 words)
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| | Software Engineering and Knowledge Engineering |
| | Günther Ruhe, Frank Bomarius (Eds.): Learning Software Organizations, Methodology and Applications, 11th International Conference on Software Engineering and Knowledge Engineering, SEKE'99, Kaiserslautern, Germany, June 16-19, 1999, Proceedings. | | | Lecture Notes in Computer Science 1756 Springer 2000, ISBN 3-540-41430-4 | | | Proceedings of the 14th international conference on Software engineering and knowledge engineering, July 15-19, 2002, Ischia, Italy. |
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http://www.informatik.uni-trier.de/~ley/db/conf/seke
(154 words)
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| | Knowledge Engineering Lab: The Ohio State University |
| | Hojjat Adeli in 1993 and has produced leading edge technology for the solution of engineering problems. | | | The knowledtge Engineering Lab is a research and development lab in the Department of Civil and Environmental Engineering and Geodetic Science at the The Ohio State University. | | | For questions, comments, and suggestions contact Asim Karim |
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http://www-aaa.eng.ohio-state.edu/~salimul/kel
(51 words)
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| | Guide to the SWEBOK |
| | The purpose of this Guide is to provide a consensually-validated characterization of the bounds of the software engineering discipline and to provide a topical access to the Body of Knowledge supporting that discipline. | | | Upon finding a subject, readers are referred to key papers or book chapters selected because they succinctly present the knowledge. | | | The Body of Knowledge is subdivided into ten Knowledge Areas (KA) and the descriptions of the KAs are |
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http://www.swebok.org
(90 words)
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| | Merriam-Webster Online |
| | Franklin Electronic Publishers puts a world of knowledge in your hand. | | | Click here for Merriam-Webster’s Speaking Dictionary and Thesaurus, and other fine handheld electronic references, personal organizers, and educational devices. | | | Click on a spelling suggestion below or try again using the search box to the right. |
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http://m-w.com/cgi-bin/dictionary?book=Dictionary&va=knowledge+engineering
(54 words)
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| | IBM Software - CATIA V4 Knowledge Engineering (CKE) - Add-on Overview |
| | CATIA V4 Knowledge Engineering (CKE) enables you to combine corporate expertise into your design process through an intelligent rule definition and checking function. | | | Refer to the CATIA-CADAM V4 system requirements for further information. | | | This process allows you to evaluate the impact of specification changes and ensures that later engineering changes continue to conform with original specifications. |
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http://www-306.ibm.com/software/applications/plm/catiav4/prods/cke
(565 words)
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| | Knowledge Engineering Center |
| | The Knowledge Engineering Center (KEC) assists clients by providing knowledge information technology products and services for integration into Internet and telecommunications infrastructures. | | | Site development, hosting, and support by the Knowledge Engineering Center (KEC). | | | As a component of the Texas Engineering Extension Service and the Texas A&M University System, KEC assists corporate, state, federal, military and academic clients by providing customizable training services and software products. |
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http://kec.tamu.edu
(111 words)
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| | Knowledge Engineering |
| | Knowledge Engineering successfully developed and deployed OCOES to support | | | Knowledge Engineering plays a significant role in shaping Singapore's vision of a knowledge economy. | | | Leading local bank engaged KE in developing its COE Open Bidding System. |
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http://www.ke-corp.com
(162 words)
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| | The Knowledge Engineering Review |
| | The Knowledge Engineering Review is committed to the critical development of this field, the clarification of its methods and concepts, and the dissemination of mature knowledge and results. | | | If you are interested in submitting a regular paper, a Grey page article, organising a special issue, or reviewing a book for the journal please contact the editor |
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http://www.sci.brooklyn.cuny.edu/~parsons/ker/ker.html
(56 words)
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| | Knowledge Technologies International: KTI Home Page |
| | and Windows 2000 / XP The Dassault Knowledge Engineering team handles all development and support services related to providing ICAD Knowledge-Based solutions to global businesses. | | | Dassault Releases ICAD 8.2 in 64-bit mode, for IBM RS/6000 AIX 5.2, SUN SPARC Solaris 2.8 and 2.9, HP-UX 11.0 and in 32-bit mode for Windows 2000 / XP | | | Dassault Releases ICAD 8.3 in 64-bit mode, for IBM RS/6000 AIX 5.2, SUN SPARC Solaris 2.8 & 2.9, HP-UX 11.0 and in 32-bit mode for Windows 2000 / XP |
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http://www.ktiworld.com
(91 words)
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| | Cambridge University Press - the Americas |
| | Dedicated to the advancement of knowledge through publishing and printing | | | Cambridge is the oldest printing and publishing house in the world, and is dedicated to the advancement and dissemination of knowledge. | | | Internationally recognized for the quality and excellence of our products, we publish over 2000 titles and 180 journals every year. |
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http://www.cambridge.org/us
(69 words)
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