Data Models for Knowledge Organization Tools: Evolution and Perspectives

Persistent Link:
http://hdl.handle.net/10150/105380
Title:
Data Models for Knowledge Organization Tools: Evolution and Perspectives
Editors:
Cordeiro, Maria Inês; Slavic, Aida
Citation:
Data Models for Knowledge Organization Tools: Evolution and Perspectives 2002, 8
Publisher:
Ergon Verlag
Issue Date:
2002
URI:
http://hdl.handle.net/10150/105380
Submitted date:
2002-07-19
Abstract:
This paper focuses on the need for knowledge organization (KO) tools, such as library classifications, thesauri and subject heading systems, to be fully disclosed and available in the open network environment. The authors look at the place and value of traditional library knowledge organization tools in relation to the technical environment and expectations of the Semantic Web. Future requirements in this context are explored, stressing the need for KO systems to support semantic interoperability. In order to be fully shareable KO tools need to be reframed and reshaped in terms of conceptual and data models. The authors suggest that some useful approaches to this already exist in methodological and technical developments within the fields of ontology modelling and lexicographic and terminological data interchange.
Type:
Proceedings
Language:
en
Keywords:
Knowledge Organization
Local subject classification:
data modeling; knowledge organization tools; classifications; thesauri; subject-heading systems; mark-up languages; standards; semantic web; ontology

Full metadata record

DC FieldValue Language
dc.contributor.editorCordeiro, Maria Inêsen_US
dc.contributor.editorSlavic, Aidaen_US
dc.date.accessioned2002-07-19T00:00:01Z-
dc.date.available2010-06-18T23:24:34Z-
dc.date.issued2002en_US
dc.date.submitted2002-07-19en_US
dc.identifier.citationData Models for Knowledge Organization Tools: Evolution and Perspectives 2002, 8en_US
dc.identifier.urihttp://hdl.handle.net/10150/105380-
dc.description.abstractThis paper focuses on the need for knowledge organization (KO) tools, such as library classifications, thesauri and subject heading systems, to be fully disclosed and available in the open network environment. The authors look at the place and value of traditional library knowledge organization tools in relation to the technical environment and expectations of the Semantic Web. Future requirements in this context are explored, stressing the need for KO systems to support semantic interoperability. In order to be fully shareable KO tools need to be reframed and reshaped in terms of conceptual and data models. The authors suggest that some useful approaches to this already exist in methodological and technical developments within the fields of ontology modelling and lexicographic and terminological data interchange.en_US
dc.format.mimetypedocen_US
dc.language.isoenen_US
dc.publisherErgon Verlagen_US
dc.subjectKnowledge Organizationen_US
dc.subject.otherdata modelingen_US
dc.subject.otherknowledge organization toolsen_US
dc.subject.otherclassificationsen_US
dc.subject.otherthesaurien_US
dc.subject.othersubject-heading systemsen_US
dc.subject.othermark-up languagesen_US
dc.subject.otherstandardsen_US
dc.subject.othersemantic weben_US
dc.subject.otherontologyen_US
dc.titleData Models for Knowledge Organization Tools: Evolution and Perspectivesen_US
dc.typeProceedingsen_US
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