Sharing and re-use of classification systems: the need for a common data model
dc.contributor.author | Slavic, Aida | |
dc.contributor.author | Cordeiro, Maria Inês | |
dc.date.accessioned | 2006-07-28T00:00:01Z | |
dc.date.available | 2010-06-18T23:19:56Z | |
dc.date.issued | 2005 | en_US |
dc.date.submitted | 2006-07-28 | en_US |
dc.identifier.citation | Sharing and re-use of classification systems: the need for a common data model 2005, 37(8):19-24 Signum | en_US |
dc.identifier.uri | http://hdl.handle.net/10150/105132 | |
dc.description.abstract | Classifications 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.mimetype | doc | en_US |
dc.language.iso | en | en_US |
dc.subject | Classification | en_US |
dc.subject.other | classification | en_US |
dc.subject.other | data model | en_US |
dc.subject.other | UDC | en_US |
dc.subject.other | Universal Decimal Classification | en_US |
dc.subject.other | analytico-synthetic classification | en_US |
dc.subject.other | automation | en_US |
dc.subject.other | BSO | en_US |
dc.subject.other | Broad System of Ordering | en_US |
dc.subject.other | BC2 | en_US |
dc.subject.other | Bliss Bibliographic Classification | en_US |
dc.title | Sharing and re-use of classification systems: the need for a common data model | en_US |
dc.type | Journal (Paginated) | en_US |
dc.identifier.journal | Signum | en_US |
html.description.abstract | Classifications 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. |