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An Ontology based Text Mining framework for R&D Project SelectionKeywords: C l u s t eri n g a n a l y s i s , o n t o l o gy , R & D , t e x t m i n i n g , and knowledge b a s e d ag e n t. Abstract: Researchanddevelopment(R&D)projectselectionisandecision-making taskcommonlyfoundingovernment fundingagencies,universities,researchinstitutes,and technologyintensivecompanies.TextMininghasemergedasadefinitivetechniqueforextracting theunknowninformationfromlargetextdocument.Ontologyisaknowledgerepositoryinwhichconcepts andterms aredefined aswellasrelationshipsbetween theseconcepts.Ontology'smakethetaskofsearchingsimilarpatternof textthat tobemoreeffective,efficientandinteractive.Thecurrentmethod for groupingproposalsfor research projectselection is proposed using anontologybasedtextminingapproachtoclusterresearchproposalsbasedon theirsimilaritiesinresearcharea.Thismethodisefficient andeffectiveforclusteringresearchproposals.Howeverproposalassignmentregardingresearch areas toexpertscannotbeoftenaccurate.Thispaperpresents aframeworkonontologybasedtextminingtoclusterresearchproposals,externalreviewersbasedon theirresearchareaandtoassignconcernedresearchproposalstoreviewerssystematically.Aknowledgebasedagentisappendedtotheproposedsystem foraretrieval ofdatafromthesystem in an efficient way.
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