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Vocabulary mapping for terminology services

Autor: Diane Vizine-Goetz; Carol Hickey; Andrew Houghton; Roger Thompson
Edição/Formato   Artigo descarregável : Documento   Arquivo de Computador : Inglês
Publicação:Journal of digital information, Vol. 4 issue 4
Base de Dados:WorldCat
Resumo:
The paper describes a project to add value to controlled vocabularies by making inter-vocabulary associations. A methodology for mapping terms from one vocabulary to another is presented in the form of a case study applying the approach to the Educational Resources Information Center (ERIC) Thesaurus and the Library of Congress Subject Headings (LCSH). Our approach to mapping involves encoding vocabularies according  Ler mais...
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Detalhes

Tipo de Material: Documento, Recurso Internet
Tipo de Documento: Recurso Internet, Artigo, Arquivo de Computador
Todos os Autores / Contribuintes: Diane Vizine-Goetz; Carol Hickey; Andrew Houghton; Roger Thompson
Número OCLC: 55983362
Notas: Title from title screen (viewed July 21, 2004).
Includes hypertext links.
Author list: Diane Vizine-Goetz, Carol Hickey, Andrew Houghton and Roger Thompson.
Peer reviewed paper.
Article no. 272, 2004-03-11.
Detalhes: Mode of access: World Wide Web.
Responsabilidade: Diane Vizine-Goetz [and others].

Resumo:

The paper describes a project to add value to controlled vocabularies by making inter-vocabulary associations. A methodology for mapping terms from one vocabulary to another is presented in the form of a case study applying the approach to the Educational Resources Information Center (ERIC) Thesaurus and the Library of Congress Subject Headings (LCSH). Our approach to mapping involves encoding vocabularies according to Machine-Readable Cataloging (MARC) standards, machine matching of vocabulary terms, and categorizing candidate mappings by likelihood of valid mapping. Mapping data is then stored as machine links. Vocabularies with associations to other schemes will be a key component of Web-based terminology services. The paper briefly describes how the Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) is used to provide access to a vocabulary with mappings.

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