Knowledge Technologies

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Detalles Bibliográficos
Publicado en:arXiv.org (Feb 26, 2008), p. n/a
Autor principal: Milton, Nick
Publicado:
Cornell University Library, arXiv.org
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Acceso en línea:Citation/Abstract
Full text outside of ProQuest
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100 1 |a Milton, Nick 
245 1 |a Knowledge Technologies 
260 |b Cornell University Library, arXiv.org  |c Feb 26, 2008 
513 |a Working Paper 
520 3 |a Several technologies are emerging that provide new ways to capture, store, present and use knowledge. This book is the first to provide a comprehensive introduction to five of the most important of these technologies: Knowledge Engineering, Knowledge Based Engineering, Knowledge Webs, Ontologies and Semantic Webs. For each of these, answers are given to a number of key questions (What is it? How does it operate? How is a system developed? What can it be used for? What tools are available? What are the main issues?). The book is aimed at students, researchers and practitioners interested in Knowledge Management, Artificial Intelligence, Design Engineering and Web Technologies. During the 1990s, Nick worked at the University of Nottingham on the application of AI techniques to knowledge management and on various knowledge acquisition projects to develop expert systems for military applications. In 1999, he joined Epistemics where he worked on numerous knowledge projects and helped establish knowledge management programmes at large organisations in the engineering, technology and legal sectors. He is author of the book "Knowledge Acquisition in Practice", which describes a step-by-step procedure for acquiring and implementing expertise. He maintains strong links with leading research organisations working on knowledge technologies, such as knowledge-based engineering, ontologies and semantic technologies. 
653 |a Engineering 
653 |a Ontology 
653 |a Knowledge management 
653 |a Semantics 
653 |a Knowledge acquisition 
653 |a Design engineering 
653 |a Military applications 
653 |a Knowledge base 
653 |a Knowledge engineering 
653 |a Knowledge based engineering 
653 |a Artificial intelligence 
653 |a Expert systems 
653 |a Colleges & universities 
773 0 |t arXiv.org  |g (Feb 26, 2008), p. n/a 
786 0 |d ProQuest  |t Engineering Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/2090474477/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full text outside of ProQuest  |u http://arxiv.org/abs/0802.3789