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Intelligence integration in distributed knowledge management

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Published by Information Science Reference in Hershey, PA .
Written in English

Subjects:

  • Expert systems (Computer science),
  • Intelligent agents (Computer software),
  • Electronic data processing -- Distributed processing

Book details:

Edition Notes

Includes bibliographical references and index.

StatementDariusz Krol and Ngoc Thanh Nguyen, editors.
ContributionsKrol, Dariusz., Nguyẽ̂n, Ngọc Thanh.
Classifications
LC ClassificationsQA76.76.E95 I53475 2009
The Physical Object
Paginationp. cm.
ID Numbers
Open LibraryOL16776934M
ISBN 109781599045764, 9781599045788
LC Control Number2008016377

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Intelligence Integration In Distributed Integration in Distributed Knowledge Management provides recent technologies and practices in intelligence for distributed systems while covering major aspects of the agent based systems. This book is a must for those striving to enhance their understanding of distributed knowledge management and Price: $ Get this from a library! Intelligence integration in distributed knowledge management. [Dariusz Król; Ngoc Thanh Nguyen, (Computer scientist);] -- "This book covers a broad range of intelligence integration approaches in distributed knowledge systems, from Web-based systems through multi-agent and grid systems, ontology management to fuzzy. Download intelligence integration in distributed knowledge management or read online books in PDF, EPUB, Tuebl, and Mobi Format. Click Download or Read Online button to get intelligence integration in distributed knowledge management book now. This site is like a library, Use search box in the widget to get ebook that you want. Intelligence. Intelligence Integration in Distributed Knowledge Management Dariusz Krol, Ngoc Thanh Nguyen Intelligent methods are used in distributed environments in countless ways, with examples such as propagation, communication, collaboration, and cooperation.

Summary: "This book covers a broad range of intelligence integration approaches in distributed knowledge systems, from Web-based systems through multi-agent and grid systems, ontology management to fuzzy approaches"--Provided by publisher. ISBN (hardcover) -- ISBN (ebook) 1. Expert systems (Computer science) 2. Intelligence integration in distributed knowledge management / Dariusz Krol and Ngoc Thanh Nguyen, editors. p. cm. Includes bibliographical references and index. Summary: "This book covers a broad range of intelligence integration approaches in distributed knowledge .   This book is a must read for analysts, their managers and analytic solutions developers. Ed Waltz's newest book "Knowledge Management in the Intelligence Enterprise" capitalizes quite handily on the theoretical and practical aspects of "information theory" as presented in his previous book "Information Warfare Principles and Operations" and his extensive contacts and experience with the Reviews: 4. Utilizing Past Web for Knowledge Discovery: /ch The Web is a useful data source for knowledge extraction, as it provides diverse content virtually on any possible topic. Hence, a lot of research has been.

knowledge management by examining its objectives, scope, strategy, best practices, knowledge management tools, and so on. The book is structured very much like a textbook, with introductory concepts at the top, more subject-specific discussions in the latter half.   In this modern era, humans have started to preserve as much knowledge as possible. “Cave paintings” were considered as the first form of converting knowledge into accessible information. The evolution of knowledge transformation and management has come a considerable way. Today, it goes beyond books, paintings or even the hieroglyphics. The 20th century introduced information management.   The book contains the papers developed from the presentations at the Distributed Intelligence in Design Symposium, held in Salford in May In this context, Distributed Intelligence refers to the interdisciplinary knowledge of a range of different individuals in different organisations, with different backgrounds and experience, and the symposium discussed the media, technologies and.   – The purpose of the paper is to provide a thorough analysis of the difference between business intelligence (BI) and knowledge management (KM) and to establish a framework for relating one field to the other., – A review of the literature from approximately through served as the basis for analysis and comparison of BI and KM. The theoretical scope of the paper is to distinguish.