LEADER 01926nam 2200493z- 450 001 9910346936903321 005 20210211 010 $a1000007206 035 $a(CKB)4920000000101153 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/56706 035 $a(oapen)doab56706 035 $a(EXLCZ)994920000000101153 100 $a20202102d2007 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aPossibly imperfect ontologies for effective information retrieval 210 $cKIT Scientific Publishing$d2007 215 $a1 online resource (XIV, 272 p. p.) 311 08$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 $aautomatic metadata generation 610 $aautomatische Metadatengenerierung 610 $aFuzzy Menge 610 $afuzzy set 610 $aGenerierung 610 $aimperfection 610 $aInformation Retrieval 610 $aInformation-Retrieval-System 610 $aMetadaten 610 $aOntologie 610 $aontology 610 $apossibility theory 610 $aprobability theory 610 $aSemantic Web 610 $aUnvollkommenheit 610 $aWahrscheinlichkeitstheorie 700 $aNagypál$b Gábor$4auth$01283227 906 $aBOOK 912 $a9910346936903321 996 $aPossibly imperfect ontologies for effective information retrieval$93018995 997 $aUNINA