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dc.contributor.authorSlavic, Aida
dc.contributor.authorCordeiro, Maria Inês
dc.contributor.editorMcIlwaine, I.C.en_US
dc.date.accessioned2004-12-09T00:00:01Z
dc.date.available2010-06-18T23:34:54Z
dc.date.issued2004en_US
dc.date.submitted2004-12-09en_US
dc.identifier.citationCore requirements for automation of analytico-synthetic classifications 2004, :187-192en_US
dc.identifier.urihttp://hdl.handle.net/10150/105814
dc.description.abstractAbstract: The paper analyses the importance of data presentation and modelling and its role in improving the management, use and exchange of analytico-synthetic classifications in automated systems. Inefficiencies, in this respect, hinder the automation of classification systems that offer the possibility of building compound index/search terms. The lack of machine readable data expressing the semantics and structure of a classification vocabulary has negative effects on information management and retrieval, thus restricting the potential of both automated systems and classifications themselves. The authors analysed the data representation structure of three general analytico-synthetic classification systems (BC2-Bliss Bibliographic Classification; BSO-Broad System of Ordering; UDC-Universal Decimal Classification) and put forward some core requirements for classification data representation.
dc.format.mimetypertfen_US
dc.language.isoenen_US
dc.publisherErgon Verlagen_US
dc.subjectClassificationen_US
dc.subject.otherclassificationen_US
dc.subject.otheranalytico-synthetic classificationen_US
dc.subject.otherautomationen_US
dc.subject.otherBliss Bibliographic Classificationen_US
dc.subject.otherBC2en_US
dc.subject.otherBroad System of Orderingen_US
dc.subject.otherBSOen_US
dc.subject.otherUniversal Decimal Classificationen_US
dc.subject.otherUDCen_US
dc.titleCore requirements for automation of analytico-synthetic classificationsen_US
dc.typeConference Paperen_US
html.description.abstractAbstract: The paper analyses the importance of data presentation and modelling and its role in improving the management, use and exchange of analytico-synthetic classifications in automated systems. Inefficiencies, in this respect, hinder the automation of classification systems that offer the possibility of building compound index/search terms. The lack of machine readable data expressing the semantics and structure of a classification vocabulary has negative effects on information management and retrieval, thus restricting the potential of both automated systems and classifications themselves. The authors analysed the data representation structure of three general analytico-synthetic classification systems (BC2-Bliss Bibliographic Classification; BSO-Broad System of Ordering; UDC-Universal Decimal Classification) and put forward some core requirements for classification data representation.


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