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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

Autore: Lois Mai Chan; Eric Childress; Rebecca J Dean; Edward T O'Neill; Diane Vizine-Goetz
Edizione/Formato:   Articolo : English
Pubblicazione:Journal of Internet cataloging, Vol. 4, no. 1/2 (2001)
Banca dati:WorldCat
Sommario:
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),  Per saperne di più…
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Tipo documento: Article
Tutti gli autori / Collaboratori: Lois Mai Chan; Eric Childress; Rebecca J Dean; Edward T O'Neill; Diane Vizine-Goetz
ISSN:1091-1367
Numero OCLC: 54008675
Note: 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)).
Descrizione: pages 35-47 : tables
Responsabilità: Lois Mai Chan, Eric Childress, Rebecca Dean, Edward T. O'Neill, Diane Vizine-Goetz.

Abstract:

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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