Knowledge Management: Learning from Knowledge Engineering

by Jay Liebowitz

Overview

Knowledge Management (KM) is strongly rooted in the discipline of Knowledge Engineering (KE), which in turn grew partly out of the artificial intelligence field. Despite their close relationship, however, many KM specialists have failed to fully recognize the synergy or acknowledge the power that KE methodologies, techniques, and tools hold for enh

Product Details

ISBN-13:	9781000611427
Publisher:	CRC Press
Publication date:	03/28/2001
Sold by:	Barnes & Noble
Format:	eBook
Pages:	152
File size:	2 MB

About the Author

Dr. Jay Liebowitz is the Robert W. Deutsch Distinguished Professor of Information Systems at the University of Maryland–Baltimore County (UMBC) in Catonsville, Maryland. He was previously Professor of Management Science in the School of Business and Public Management at George Washington University and has served as the Chair of Artificial Intelligence at the U.S. Army War College. He is the founder and Editor-in-Chief of Expert Systems with Applications: An International Journal (published by Elsevier) and Failure and Lessons Learned in Information Technology Management: An International Journal. He is the founder and chair of the World Congress on Expert Systems, where typically 40 to 45 countries are represented. Dr. Liebowitz was selected as the Computer Educator of the Year by the International Association for Computer Information Systems. He was a Fulbright Scholar in Canada, the IEEE-USA Federal Communications Commission Executive Fellow, and holds a number of other honors. He has published 28 books and over 220 papers dealing with expert systems, knowledge management, and information systems management. He can be reached at [e-mail].

Table of Contents

Knowledge Management and Knowledge Engineering: Working Together. Knowledge Mapping and Knowledge Acquisition. Knowledge Taxonomy versus Knowledge Ontology and Representation. The Knowledge Management Life Cycle versus the Knowledge Engineering Life Cycle. Knowledge-Based Systems and Knowledge Management. Intelligent Agents and Knowledge Dissemination. Knowledge Discovery and Knowledge Management. People and Culture: Lessons Learned from AI to Help Knowledge Management. Implementing Knowledge Management Strategies. Expert Systems and AI: Integral Parts of Knowledge Management. Appendix A: A Knowledge Management Strategy for the U.S. Federal Communications Commission. Appendix B: Knowledge Management Receptivity. Appendix C: Modeling the Intelligence Analysis Process for Intelligent User Agent Development. Appendix D: Planning and Scheduling in the Era of Satellite Constellation Missions: A Look Ahead. Index.

Editorial Reviews

Addresses the synergies between the disciplines of knowledge engineering and knowledge management, integrating the theory and practice of artificial intelligence and expert systems with the current organizational and strategic aspects of knowledge management. Appendices offer case studies, including a knowledge management strategy for the US Federal Communications Commission and a partial knowledge audit for the US Social Security Administration. Of interest to knowledge managers, knowledge engineers, and directors of intellectual capital, as well as students. Liebowitz teaches information systems at the University of Maryland-Baltimore County. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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