
Knowledge Engineering and Management
The CommonKADS Methodology
MIT Press
Published on 9. December 1999
Book
Hardback
471 pages
978-0-262-19300-9 (ISBN)
Description
The book covers in an integrated fashion the complete route from corporate knowledge management, through knowledge analysis andengineering, to the design and implementation of knowledge-intensiveinformation systems.The disciplines of knowledge engineering and knowledge management are closely tied. 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. The book covers in an integrated fashion the complete route from corporate knowledge management, through knowledge analysis and engineering, to the design and implementation of knowledge-intensive information systems. The CommonKADS methodology, developed over the last decade by an industry-university consortium led by the authors, is used throughout the book. CommonKADS makes as much use as possible of the new UML notation standard. Beyond information systems applications, all software engineering and computer systems projects in which knowledge plays an important role stand to benefit from the CommonKADS methodology.
More details
Series
Language
English
Place of publication
Cambridge, Mass.
United States
Publishing group
MIT Press Ltd
Target group
College/higher education
Professional and scholarly
Interest Age: From 18 years
Product notice
Cloth over boards
Dimensions
Height: 229 mm
Width: 183 mm
Thickness: 37 mm
Weight
907 gr
ISBN-13
978-0-262-19300-9 (9780262193009)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Walter Van de Velde is Research Assistant in the Artificial Intelligence Laboratory of the Vrije Universiteit, Brussels,Belgium.
Author
Vrjie Universiteit
University of Twente
Bldg 53 Rm 3041