Persistent Link:
http://hdl.handle.net/10150/106481
Title:
Knowledge Management Systems: A Text Mining Perspective
Author:
Chen, Hsinchun
Citation:
Knowledge Management Systems: A Text Mining Perspective 2001,
Publisher:
Knowledge Computing Corporation
Issue Date:
2001
Description:
Artificial Intelligence Lab, Department of MIS, University of Arizona
URI:
http://hdl.handle.net/10150/106481
Submitted date:
2004-09-20
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
Keywords:
Artificial Intelligence; Knowledge Management; Data Mining
Local subject classification:
National Science Digital Library; NSDL; Artificial intelligence lab; AI lab

Full metadata record

DC FieldValue Language
dc.contributor.authorChen, Hsinchunen_US
dc.date.accessioned2004-09-20T00:00:01Z-
dc.date.available2010-06-18T23:48:15Z-
dc.date.issued2001en_US
dc.date.submitted2004-09-20en_US
dc.identifier.citationKnowledge Management Systems: A Text Mining Perspective 2001,en_US
dc.identifier.urihttp://hdl.handle.net/10150/106481-
dc.descriptionArtificial Intelligence Lab, Department of MIS, University of Arizonaen_US
dc.description.abstractThis 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.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.publisherKnowledge Computing Corporationen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectKnowledge Managementen_US
dc.subjectData Miningen_US
dc.subject.otherNational Science Digital Libraryen_US
dc.subject.otherNSDLen_US
dc.subject.otherArtificial intelligence laben_US
dc.subject.otherAI laben_US
dc.titleKnowledge Management Systems: A Text Mining Perspectiveen_US
dc.typeBooken_US
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