Knowledge Management: Learning from Knowledge Engineering

✍ Scribed by Jay Liebowitz

• Publisher: CRC Press
• Year: 2001
• Tongue: English
• Leaves: 150
• Edition: 1
• Category: Library

✦ Synopsis

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 enhancing the state of the art in Knowledge Management.Knowledge Management: Learning from Knowledge Engineering addresses this vacuum. It gives concise, practical information and insights drawn from the author's many years of experience in the fields of expert systems and Knowledge Management. Based upon research, analyses, and illustrative case studies, this is the first book to integrate the theory and practice of artificial intelligence and expert systems with the current organizational and strategic aspects of Knowledge Management.The time has come for Knowledge Management professionals to appreciate the synergy between their work and the work of their counterparts in Knowledge Engineering. Knowledge Management: Learning from Knowledge Engineering is the ideal starting point for those in KM to learn from and exploit advances in that field, and thereby advance their own.

✦ Table of Contents

Front cover......Page 1
Preface......Page 4
Author's bio......Page 6
Contents......Page 8
chapter one. Knowledge management and knowledge engineering: working together......Page 10
chapter two. Knowledge mapping and knowledge acquisition......Page 16
chapter three. Knowledge taxonomy vs. knowledge ontology and representation......Page 24
chapter four. The knowledge management life cycle vs, the knowledge engineering life cycle......Page 30
chapter five. Knowledge-based systems and knowledge management......Page 46
chapter six. Intelligent agents and knowledge dissemination......Page 52
chapter seven. Knowledge discovery and knowledge management......Page 58
chapter eight. People and culture: lessons learned from AI to help knowledge management......Page 66
chapter nine. Implementing knowledge management strategies......Page 72
chapter ten. Expert systems and AI: integral parts of knowledge management......Page 78
appendix A: A knowledge management strategy for the U.S. Federal Communications Commission......Page 84
appendix B: Partial knowledge audit for the U.S. Social Security Administration......Page 102
appendix C: Modeling the intelligence analysis process for intelligent user agent development......Page 112
appendix D: Planning and scheduling in the era of satellite constellation missions:a look ahead......Page 122
Index......Page 142
Back cover......Page 150

✦ Subjects

Менеджмент;Управление знаниями;