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    Knowledge Management Systems: A Text Mining Perspective

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    Author
    Chen, Hsinchun
    Issue Date
    2001
    Submitted date
    2004-09-20
    Keywords
    Artificial Intelligence
    Knowledge Management
    Data Mining
    Local subject classification
    National Science Digital Library
    NSDL
    Artificial intelligence lab
    AI lab
    
    Metadata
    Show full item record
    Citation
    Knowledge Management Systems: A Text Mining Perspective 2001,
    Publisher
    Knowledge Computing Corporation
    Description
    Artificial Intelligence Lab, Department of MIS, University of Arizona
    URI
    http://hdl.handle.net/10150/106481
    Abstract
    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.
    Type
    Book
    Language
    en
    Collections
    DLIST

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