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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

著者: Lois Mai Chan; Eric Childress; Rebecca J Dean; Edward T O'Neill; Diane Vizine-Goetz
エディション/フォーマット:   記事/論文 : English
出版:Journal of Internet cataloging, Vol. 4, no. 1/2 (2001)
データベース:WorldCat
概要:
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),  続きを読む
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ドキュメントの種類: 記事
すべての著者/寄与者: Lois Mai Chan; Eric Childress; Rebecca J Dean; Edward T O'Neill; Diane Vizine-Goetz
ISSN:1091-1367
OCLC No.: 54008675
注記: 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)).
物理形態: pages 35-47 : tables
責任者: Lois Mai Chan, Eric Childress, Rebecca Dean, Edward T. O'Neill, Diane Vizine-Goetz.

概要:

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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