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dc.contributor.authorChen, Hsinchun
dc.contributor.authorDanowitz, A.K.
dc.contributor.authorLynch, K.J.
dc.contributor.authorGoodman, S.E.
dc.contributor.authorMcHenry, W.K.
dc.date.accessioned2004-10-01T00:00:01Z
dc.date.available2010-06-18T23:21:56Z
dc.date.issued1994-07en_US
dc.date.submitted2004-10-01en_US
dc.identifier.citationExplaining and Alleviating Information Management Indeterminism: A Knowledge-based Framework 1994-07, 30(4):557-577 Information Processing and Managementen_US
dc.identifier.urihttp://hdl.handle.net/10150/105236
dc.descriptionArtificial Intelligence Lab, Department of MIS, University of Arizonaen_US
dc.description.abstractOur research attempted to identify the nature and causes of information management indeterminism in an online research environment and to propose solutions for alleviating this indeterminism. We conducted two empirical studies of information management activities. The first study identified the types and nature of information management indeterminism by evaluating archived texts. The second study focused on four sources of indeterminism: subject area knowledge, classification knowledge, system knowledge, and collaboration knowledge. A knowledge-based design for alleviating indeterminism, which contains a system-generated thesaurus and an inferencing engine, is also proposed in this article.
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectKnowledge Managementen_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.otherThesaurien_US
dc.titleExplaining and Alleviating Information Management Indeterminism: A Knowledge-based Frameworken_US
dc.typeJournal Article (Paginated)en_US
dc.identifier.journalInformation Processing and Managementen_US
refterms.dateFOA2018-08-21T10:49:03Z
html.description.abstractOur research attempted to identify the nature and causes of information management indeterminism in an online research environment and to propose solutions for alleviating this indeterminism. We conducted two empirical studies of information management activities. The first study identified the types and nature of information management indeterminism by evaluating archived texts. The second study focused on four sources of indeterminism: subject area knowledge, classification knowledge, system knowledge, and collaboration knowledge. A knowledge-based design for alleviating indeterminism, which contains a system-generated thesaurus and an inferencing engine, is also proposed in this article.


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