%0 Journal Article
%T An Ontology based Text Mining framework for R&D Project Selection
%A N.Arunachalam
%A E.Sathya
%A S.Hismath Begum
%A M . U m a M a k e s w ar i
%J International Journal of Computer Science & Information Technology
%D 2013
%I Academy & Industry Research Collaboration Center (AIRCC)
%X 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.
%K C l u s t eri n g a n a l y s i s
%K o n t o l o gy
%K R & D
%K t e x t m i n i n g
%K and knowledge b a s e d ag e n t.
%U http://airccse.org/journal/jcsit/5113ijcsit13.pdf