LEADER 01909nam 2200481z- 450 001 9910346936903321 005 20231214133235.0 010 $a1000007206 035 $a(CKB)4920000000101153 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/56706 035 $a(EXLCZ)994920000000101153 100 $a20202102d2007 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPossibly imperfect ontologies for effective information retrieval 210 $cKIT Scientific Publishing$d2007 215 $a1 electronic resource (XIV, 272 p. p.) 311 $a3-86644-190-8 330 $aOntologies and semantic metadata can theoretically solve all problems of traditional full-text search engines. In practice, however, they are always imperfect. This work analyzed whether the negative effect of ontology imperfection is higher than the positive effect of exploiting the ontology features for IR. To answer this question, a complete ontology-based information retrieval system was implemented and thoroughly evaluated. 610 $aFuzzy Menge 610 $aautomatic metadata generation 610 $aOntologie 610 $afuzzy set 610 $aprobability theory 610 $aInformation-Retrieval-System 610 $aGenerierung 610 $aUnvollkommenheit 610 $apossibility theory 610 $aMetadaten 610 $aSemantic Web 610 $aautomatische Metadatengenerierung 610 $aWahrscheinlichkeitstheorie 610 $aInformation Retrieval 610 $aimperfection 610 $aontology 700 $aNagypál$b Gábor$4auth$01283227 906 $aBOOK 912 $a9910346936903321 996 $aPossibly imperfect ontologies for effective information retrieval$93018995 997 $aUNINA