Artificial Intelligence Lab, Department of MIS, University of Arizona / This bookâ s purpose is to present a balanced and integrated view of what a Knowledge Management System (KMS) is. We first define Knowledge Management (KM) from various consulting and IT perspectives and then pay particular attention to new and emerging technologies
that help promote this new field. In particular, we present a review of some key KMS sub-fields: search engines, data mining, and text mining. We hope to help readers better understand the emerging technologies behind
knowledge management, i.e., Knowledge Management Systems.
A high-level, although systematic, discussion of text mining is presented. Unlike search engines and data mining that have a longer history and are better understood, text mining is an emerging technical area that is relatively
unknown to IT professionals. We therefore present several case studies and conclude with lessons learned and future research and development directions. This book is intended to provide a gentle introduction to researchers and IT professionals who are new to KMS. We hope it provides a non-technical and practical review of this fascinating field as well as a look at the potential and pitfalls of these emerging technologies.
| Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/106481 |
| Date | January 2001 |
| Creators | Chen, Hsinchun |
| Publisher | Knowledge Computing Corporation |
| Source Sets | University of Arizona |
| Language | English |
| Detected Language | English |
| Type | Book |
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