Knowledge Management: Challenges, Solutions, and Technologies, Volume 2This new book approaches knowledge management (KM) from several perspectives: it spans electrical engineering, artificial intelligence, information systems, and business. Comprehensive yet clearly and concisely written, "Knowledge Management" is simultaneously strong in managerial, technical, and systemic aspects of KM, providing readers with the right combination of theory, technology, and solutions. Organized coherently into four sections, "Knowledge Management" covers the principles, technologies, capture systems, sharing systems, and application systems of KM. An excellent handbook for business executives, especially chief information officers, IT directors, and chief knowledge officers. |
Contents
PRINCIPLES OF KNOWLEDGE MANAGEMENT | 1 |
The Nature of Knowledge | 12 |
Knowledge Management Solutions | 30 |
Copyright | |
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algorithm analysis Artificial Intelligence attribute case-based reasoning Chapter client cluster communities of practice component concept maps context customers Data Mining data samples database decision defined described discussed DM techniques documents domain Doubtfire employees example Expert Seeker expert systems expertise explicit knowledge facilitate Figure frame function goal heuristic human identify impact implementation important individual induction inputs interface Internet interview KM assessment KM mechanisms KM processes KM solutions KM systems knowl knowledge application systems knowledge base knowledge capture systems knowledge discovery knowledge elicitation knowledge engineering Knowledge Management knowledge sharing systems knowledge-based systems learning neural networks node organization organization's organizational performance perspective Predict repertory grid represent rules search engine server solution space solve structure tacit knowledge task tion Total Recall tree types of knowledge typically variables Vignette