Information Retrieval from Digital Libraries Using Probabilistic -Possibilistic Inferences

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dc.contributor.authorChowdhary, K R
dc.date.accessioned2010-05-18T09:55:59Z
dc.date.available2010-05-18T09:55:59Z
dc.date.issued2008-02-28
dc.description.abstractAn Information Retrieval-cum-Extraction system for retrieving information from Digital Libraries using combination of Bayesian Probabilistic and fuzzy logic based possibilistic inferences has been developed and tested. The proposed method resolves the true similarity between documents and information need specified in the form of user query using fuzzy techniques. Final results have been found to be impressive and are close to an idealistic situation.en_US
dc.identifier.isbn978-81-902079-6-6
dc.identifier.urihttp://hdl.handle.net/1944/1225
dc.language.isoenen_US
dc.publisherINFLIBNET Centeren_US
dc.subjectInformation Retrievalen_US
dc.subjectInformation Extractionen_US
dc.subjectProbabilisticen_US
dc.subjectPossibilisticen_US
dc.subjectBayesianen_US
dc.subjectInference Networksen_US
dc.titleInformation Retrieval from Digital Libraries Using Probabilistic -Possibilistic Inferencesen_US
dc.typeArticleen_US

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