From Information Retrieval to Knowledge Management Enabling Technologies and Best Practices

Persistent Link:
http://hdl.handle.net/10150/106079
Title:
From Information Retrieval to Knowledge Management Enabling Technologies and Best Practices
Author:
Chen, Hsinchun
Citation:
From Information Retrieval to Knowledge Management Enabling Technologies and Best Practices 1999-11, 27(1-2):1-4 Decision Support Systems
Publisher:
Elsevier
Journal:
Decision Support Systems
Issue Date:
Nov-1999
Description:
Artificial Intelligence Lab, Department of MIS, University of Arizona
URI:
http://hdl.handle.net/10150/106079
Submitted date:
2004-09-20
Abstract:
In this era of the Internet and distributed multimedia computing, new and emerging classes of information technologies have swept into the lives of office workers and everyday people. As technologies and applications become more overwhelming, pressing, and diverse, several well-known information technology problems have become even more urgent. Information overload, a result of the ease of information creation and rendering via Internet and WWW, has become more evident in people’s lives. Significant variations of database formats and structures, the richness of information media text, audio, and video , and an abundance of multilingual information content also have created various information interoperability problems - structural interoperability, media interoperability, and multilingual interoperability.
Type:
Journal Article (Paginated)
Language:
en
Keywords:
Knowledge Management; Information Seeking Behaviors; Information Extraction
Local subject classification:
National Science Digital Library; NSDL; Artificial intelligence lab; AI lab; Information retrieval

Full metadata record

DC FieldValue Language
dc.contributor.authorChen, Hsinchunen_US
dc.date.accessioned2004-09-20T00:00:01Z-
dc.date.available2010-06-18T23:39:24Z-
dc.date.issued1999-11en_US
dc.date.submitted2004-09-20en_US
dc.identifier.citationFrom Information Retrieval to Knowledge Management Enabling Technologies and Best Practices 1999-11, 27(1-2):1-4 Decision Support Systemsen_US
dc.identifier.urihttp://hdl.handle.net/10150/106079-
dc.descriptionArtificial Intelligence Lab, Department of MIS, University of Arizonaen_US
dc.description.abstractIn this era of the Internet and distributed multimedia computing, new and emerging classes of information technologies have swept into the lives of office workers and everyday people. As technologies and applications become more overwhelming, pressing, and diverse, several well-known information technology problems have become even more urgent. Information overload, a result of the ease of information creation and rendering via Internet and WWW, has become more evident in people’s lives. Significant variations of database formats and structures, the richness of information media text, audio, and video , and an abundance of multilingual information content also have created various information interoperability problems - structural interoperability, media interoperability, and multilingual interoperability.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectKnowledge Managementen_US
dc.subjectInformation Seeking Behaviorsen_US
dc.subjectInformation Extractionen_US
dc.subject.otherNational Science Digital Libraryen_US
dc.subject.otherNSDLen_US
dc.subject.otherArtificial intelligence laben_US
dc.subject.otherAI laben_US
dc.subject.otherInformation retrievalen_US
dc.titleFrom Information Retrieval to Knowledge Management Enabling Technologies and Best Practicesen_US
dc.typeJournal Article (Paginated)en_US
dc.identifier.journalDecision Support Systemsen_US
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