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[null,"1.","Record Nr.",null,"UNINA9910346889003321"]
[null,null,"Autore",null,"Zhang Melvyn W. B"]
[null,null,"Titolo",null,"Get Through MRCPsych Paper A : Mock Examination Papers, Two Volume Set"]
[null,null,"Pubbl/distr/stampa",null,"Milton : , : Taylor & Francis Group, , 2017"]
[{"$nulls":4},"©2017"]
[null,null,"ISBN",null,"1-000-03150-0"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 electronic resource (XVI, 331 p. p.)"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[{"$nulls":3},"Livello bibliografico","Monografia"]
[{"$nulls":3},"Sommario/riassunto","According 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."]