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
Knowledge management: learning from knowledge engineering
โ Scribed by Liebowitz, Jay
- Publisher
- CRC Press
- Year
- 2001
- Tongue
- English
- Leaves
- 150
- Category
- Library
No coin nor oath required. For personal study only.
โฆ 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.
โฆ Subjects
Gestiรณ de la informaciรณ;Sistemes experts (Informร tica);Sistemes experts (Informaฬtica);Gestioฬ de la informacioฬ
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