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New Technology of Library and Information Service  2010, Vol. 26 Issue (10): 33-42    DOI: 10.11925/infotech.1003-3513.2010.10.06
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Study on the Chinese Archival Thesaurus Application in Semantic Web Based on SKOS
Duan Rongting
Department of Military Information Management, Shanghai Branch School of Nanjing Political College, Shanghai 200433,China
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This paper demonstrates the concept, structure and functions, and characteristics of SKOS. And also concretely analyzes the realization of SKOS’ systematic and standardized control of the Chinese Archival Thesaurus. Finally it summarizes its characteristics such as standardization, systematization, flexibility, and practicability,etc.

Key wordsChinese      Archival      Thesaurus      SKOS      Semantic      Web     
Received: 12 July 2010      Published: 04 January 2011



Cite this article:

Duan Rongting. Study on the Chinese Archival Thesaurus Application in Semantic Web Based on SKOS. New Technology of Library and Information Service, 2010, 26(10): 33-42.

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[1] W3C. SKOS Simple Knowledge Organization System Reference (W3C Recommendation 18 August 2009) . .

[2] Zeng M L, Fan W. SKOS and Its Application in Transferring Traditional Thesauri into Networked Knowledge Organization Systems . OCLC/ISKO-NA Conference, 2008.

[3] Pastor-Sanchez J A,Martinez Mendez F J, Rodriguez-Munoz J V.Advantages of Thesaurus Representation Using the Simple Knowledge Organization System (SKOS) Compared with Proposed Alternatives . Information Research: An International Electronic Journal,2009,14(4). .

[4] 宿瑞芳,李晓雯,侯汉清.叙词表词间关系处理规则的比较研究——以国际、中国、美国标准为例
[J]. 情报科学 ,2009,27(1):89-93.

[5] Carlisle P. UK Archival Thesaurus (UKAT): Construction and Editing Methodology (Version 6.0).(2003-08-19). .

[6] The UK Archival Thesaurus . .

[7] Miles A. UKAT (UK Archival Thesaurus) SKOS/RDF Data . .

[8] Van Assem M, Malaisé V, Miles A, et al. A Method to Convert Thesauri to SKOS(2006) . .

[9] Gema Bueno de la Fuente. The Simple Knowledge Organization System (SKOS)—— A Situation Report for the HIVE Project . .

[10] Polo L, Alvarez J M, Azcona E R. Promoting Government Controlled Vocabularies for the Semantic Web: The EUROVOC Thesaurus and the CPV Product Classification Scheme . .

[11] ISO TC 46/SC 9.ISO 2788:1986 Documentation - Guidelines for the Establishment and Development of Monolingual Thesauri
[S]. 2nd Edition.1986.

[12] 张正强.《中国档案主题词表》研究与使用精要
[M]. 1版.上海:上海科学技术文献出版社,1995:1-256.

[13] 《中国档案主题词表》编委会.中国档案主题词表(上册)

[14] 冯惠玲.档案文献检索

[15] 《中国档案主题词表》编委会.中国档案主题词表(下册)

[16] The Dublin Core Metadata Application Profile for Thesaurus .(2005-05-04). .

[17] W3C Working Group. SKOS Simple Knowledge Organization System Primer (W3C Working Group Note 18 August 2009) . ..

[18] 徐冬梅,杨建军,张展新,等.数据元素的标准化方法(1)——概述
[J]. 信息技术与标准化 ,2008(1):49-51.

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