Data Models for Knowledge Organization Tools: Evolution and Perspectives

Persistent Link:
http://hdl.handle.net/10150/105384
Title:
Data Models for Knowledge Organization Tools: Evolution and Perspectives
Author:
Cordeiro, Maria Inês; Slavic, Aida
Editors:
López-Huertas, Marí­a J.
Citation:
Data Models for Knowledge Organization Tools: Evolution and Perspectives 2002, 8:127-134
Publisher:
Ergon Verlag
Issue Date:
2002
URI:
http://hdl.handle.net/10150/105384
Submitted date:
2006-08-07
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:
Conference Paper
Language:
en
Keywords:
Knowledge Organization
Local subject classification:
knowledge organization systems; controlled vocabularies; data models; standards

Full metadata record

DC FieldValue Language
dc.contributor.authorCordeiro, Maria Inêsen_US
dc.contributor.authorSlavic, Aidaen_US
dc.contributor.editorLópez-Huertas, Marí­a J.en_US
dc.date.accessioned2006-08-07T00:00:01Z-
dc.date.available2010-06-18T23:24:39Z-
dc.date.issued2002en_US
dc.date.submitted2006-08-07en_US
dc.identifier.citationData Models for Knowledge Organization Tools: Evolution and Perspectives 2002, 8:127-134en_US
dc.identifier.urihttp://hdl.handle.net/10150/105384-
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.otherknowledge organization systemsen_US
dc.subject.othercontrolled vocabulariesen_US
dc.subject.otherdata modelsen_US
dc.subject.otherstandardsen_US
dc.titleData Models for Knowledge Organization Tools: Evolution and Perspectivesen_US
dc.typeConference Paperen_US
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