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Generating, Integrating, and Activating Thesauri for Concept-based Document Retrieval

dc.contributor.authorChen, Hsinchun
dc.contributor.authorLynch, K.J.
dc.contributor.authorBasu, K.
dc.contributor.authorNg, Tobun Dorbin
dc.date.accessioned2004-10-01T00:00:01Z
dc.date.available2010-06-18T23:24:33Z
dc.date.issued1993-04en_US
dc.date.submitted2004-10-01en_US
dc.identifier.citationGenerating, Integrating, and Activating Thesauri for Concept-based Document Retrieval 1993-04, 8(2):25-34 IEEE Expert, Special Series on Artificial Intelligence in Text-based Information Systemsen_US
dc.identifier.urihttp://hdl.handle.net/10150/105378
dc.descriptionArtificial Intelligence Lab, Department of MIS, University of Arizonaen_US
dc.description.abstractThis Blackboard-based design uses a neural-net spreading-activation algorithm to traverse multiple thesauri. Guided by heuristics, the algorithm activates related terms in the thesauri and converges on the most pertinent concepts.
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectArtificial Intelligenceen_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.titleGenerating, Integrating, and Activating Thesauri for Concept-based Document Retrievalen_US
dc.typeJournal Article (Paginated)en_US
dc.identifier.journalIEEE Expert, Special Series on Artificial Intelligence in Text-based Information Systemsen_US
refterms.dateFOA2018-07-14T01:26:03Z
html.description.abstractThis Blackboard-based design uses a neural-net spreading-activation algorithm to traverse multiple thesauri. Guided by heuristics, the algorithm activates related terms in the thesauri and converges on the most pertinent concepts.


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