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dc.contributor.authorSlavic, Aida
dc.contributor.authorCordeiro, Maria Inês
dc.date.accessioned2006-07-28T00:00:01Z
dc.date.available2010-06-18T23:19:56Z
dc.date.issued2005en_US
dc.date.submitted2006-07-28en_US
dc.identifier.citationSharing and re-use of classification systems: the need for a common data model 2005, 37(8):19-24 Signumen_US
dc.identifier.urihttp://hdl.handle.net/10150/105132
dc.description.abstractClassifications can help to overcome difficulties in information retrieval of heterogeneous and multilingual collections for which linguistic and free text searching is not sufficient or applicable. However, there are problems in the machine readability of classification systems which do not facilitate their wider use and full exploitation. The authors focus on issues of automation of analytico-synthetic classification systems such as Universal Decimal Classification (UDC), Bliss Bibliographic Classification (BC2) and Broad System of Ordering (BSO). 'Analytico-syntheticâ means here classification systems that offer the possibility of building compound index/search terms and that lend themselves to post-coordinate searching.
dc.format.mimetypedocen_US
dc.language.isoenen_US
dc.subjectClassificationen_US
dc.subject.otherclassificationen_US
dc.subject.otherdata modelen_US
dc.subject.otherUDCen_US
dc.subject.otherUniversal Decimal Classificationen_US
dc.subject.otheranalytico-synthetic classificationen_US
dc.subject.otherautomationen_US
dc.subject.otherBSOen_US
dc.subject.otherBroad System of Orderingen_US
dc.subject.otherBC2en_US
dc.subject.otherBliss Bibliographic Classificationen_US
dc.titleSharing and re-use of classification systems: the need for a common data modelen_US
dc.typeJournal (Paginated)en_US
dc.identifier.journalSignumen_US
html.description.abstractClassifications can help to overcome difficulties in information retrieval of heterogeneous and multilingual collections for which linguistic and free text searching is not sufficient or applicable. However, there are problems in the machine readability of classification systems which do not facilitate their wider use and full exploitation. The authors focus on issues of automation of analytico-synthetic classification systems such as Universal Decimal Classification (UDC), Bliss Bibliographic Classification (BC2) and Broad System of Ordering (BSO). 'Analytico-syntheticâ means here classification systems that offer the possibility of building compound index/search terms and that lend themselves to post-coordinate searching.


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