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A faceted approach to subject data in the Dublin Core metadata record
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A faceted approach to subject data in the Dublin Core metadata record

Auteur : Lois Mai Chan; Eric Childress; Rebecca J Dean; Edward T O'Neill; Diane Vizine-Goetz
Édition/format :   Article : Anglais
Publication :Journal of Internet cataloging, Vol. 4, no. 1/2 (2001)
Base de données :WorldCat
Résumé :
The enormous volume and rapid growth of resources available on the World Wide Web and the emergence of numerous metadata schemes have spurred a reexamination of the way subject data is to be provided for Web resources efficiently and effectively. For the Dublin Core metadata record, a new approach to subject vocabulary is being investigated. This new method, called FAST (FacetedApplication of Subject Terminology),  Lire la suite...
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Détails

Format : Article
Tous les auteurs / collaborateurs : Lois Mai Chan; Eric Childress; Rebecca J Dean; Edward T O'Neill; Diane Vizine-Goetz
ISSN :1091-1367
Numéro OCLC : 54008675
Notes : Author affiliations: Chan (University of Kentucky), Childress, Dean, O'Neill and Vizine-Goetz (OCLC).
In: Journal of internet cataloging volume 4, numbers 1/2 (2001), p. 35-47. (Journal issue was published also as a monograph: CORC: new tools and possibilities for cooperative electronic resource description (ISBN: 0789013045)).
Description : pages 35-47 : tables
Responsabilité : Lois Mai Chan, Eric Childress, Rebecca Dean, Edward T. O'Neill, Diane Vizine-Goetz.

Résumé :

The enormous volume and rapid growth of resources available on the World Wide Web and the emergence of numerous metadata schemes have spurred a reexamination of the way subject data is to be provided for Web resources efficiently and effectively. For the Dublin Core metadata record, a new approach to subject vocabulary is being investigated. This new method, called FAST (FacetedApplication of Subject Terminology), is based on the existing vocabulary in Library of Congress Subject Headings (LC), but applied with a simpler syntax than that currently used by libraries according to Library of Congress application policies. In the FAST system, non-topical (i.e., geographic, chronological, and form) data are separated from topical data and placed in different elements provided in the Dublin Core metadata record.

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