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010   $a1-000-03150-0
035   $a(CKB)4920000000101632
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/55250
035   $a(MiAaPQ)EBC31149702
035   $a(Au-PeEL)EBL31149702
035   $a(EXLCZ)994920000000101632
100   $a20240508d2017      uy         0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aGet Through MRCPsych Paper A $eMock Examination Papers, Two Volume Set
205   $a1st ed.
210  1$aMilton :$cTaylor & Francis Group,$d2017.
210  4$dİ2017.
215   $a1 electronic resource (XVI, 331 p. p.)
311   $a1-4987-9628-1 
311   $a3-86644-958-5 
330   $aAccording to the Semantic Web a formal representation of knowledge is described by an ontology. This formal representation enables a unique identification of elements within an ontology. By the use of natural language for element annotation, ambiguity occurs and a unique element identification based on natural language cannot be guaranteed. This book describes an approach to identify the most relevant element described by a natural language term by reducing the aspect of ambiguity to a minimum.
610   $aSemantic Web
610   $aSpreading ActivationSemantic Web
610   $aWord-sense disambiguation
610   $aMehrdeutigkeit
610   $aGraphentheorie
610   $aDisambiguierung
610   $aGraph theory
610   $aSpreading Activation
700   $aZhang$b Melvyn W. B$01737480
701   $aHo$b Cyrus S. H$01737481
701   $aHo$b Roger$01737482
701   $aTreasaden$b Ian H$01737483
701   $aPuri$b Basant$01737484
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910346889003321
996   $aGet Through MRCPsych Paper A$94159425
997   $aUNINA