蓋蒂詞彙計劃 - 维基百科,自由的百科全书
盖蒂词汇计划(Getty Vocabulary Program)是美國加利福尼亚州洛杉矶盖蒂中心的盖蒂研究所内的一个部门。它負責編輯和维护蓋蒂受控词表数据库、藝術與建築索引典、艺术家联合名录和蓋蒂地名词库。[1]這些詞庫包含与艺术、建筑和文化有关的人、地点、事物和概念的术语、名称和其他信息。
历史
[编辑]自1983年以来,這些詞庫的编辑工作一直由盖蒂負責。1987年,盖蒂创建了词汇协调小组,现在称为盖蒂词汇计划,隶属于盖蒂信息研究所。[2]
参考文献
[编辑]- ^ Online Computer Library Center, Inc. (OCLC) news release about Getty Vocabularies[失效連結]
- ^ The Getty Information Institute: A Retrospective. [2022-04-11]. (原始内容存档于2022-02-02).
外部鏈接
[编辑]- 官方网站
- Art & Architecture Thesaurus® Online (页面存档备份,存于互联网档案馆)
- Cultural Objects Name Authority® Online (页面存档备份,存于互联网档案馆)
- Getty Thesaurus of Geographic Names® Online (页面存档备份,存于互联网档案馆)
- Union List of Artist Names® Online (页面存档备份,存于互联网档案馆)
- Fink, Eleanor E. The Getty Information Institute: A Retrospective. D-Lib Magazine. March 1999, 5 (3) [2022-04-11]. ISSN 1082-9873. OCLC 4634068590. doi:10.1045/march99-fink
. (原始内容存档于2022-02-02) (美国英语).
- Coburn, Erin; Baca, Murtha. Beyond the Gallery Walls: Tools and Methods for Leading End-Users to Collections Information. Bulletin of the American Society for Information Science and Technology. 2004, 30 (5): 14–19 [2022-04-11]. ISSN 1550-8366. OCLC 5154319677. doi:10.1002/bult.323
. (原始内容存档于2022-04-11) (美国英语).
- Training materials and presentations created by the Getty Vocabulary Program (页面存档备份,存于互联网档案馆) — includes presentations and other training materials for the Getty Thesaurus of Geographic Names (TGN), the Union List of Artist Names (ULAN), the Art & Architecture Thesaurus (AAT), Cataloging Cultural Objects (CCO), Categories for the Description of Works of Art (CDWA), and standards in general.
- Getty Vocabulary Editorial Guidelines (页面存档备份,存于互联网档案馆) — the editorial guidelines for the AAT, ULAN, and TGN contain rules and guidelines intended for use by the editors of the Getty Vocabulary Program using the in-house editorial system, VCS (Vocabulary Coordination System). Contributors to the Getty Vocabularies and implementers of the licensed vocabulary data may consult these guidelines as well.
- Getty Vocabularies (页面存档备份,存于互联网档案馆) as Linked Open Data
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