Jay Liebowitz

Knowledge Management (eBook, ePUB)

Learning from Knowledge Engineering

• Format: ePub

Produktbeschreibung

Knowledge Management: Learning from Knowledge Engineering helps knowledge managers and those involved in knowledge management initiatives improve the current state-of-the-art in developing knowledge management systems. The book explores the need for applying knowledge engineering techniques to knowledge management. The focus is on sharing and leveraging knowledge internally and externally.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 152
• Erscheinungstermin: 28. März 2001
• Englisch
• ISBN-13: 9781000611427
• Artikelnr.: 57000361

Autorenporträt

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].

Inhaltsangabe

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.