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New Technology of Library and Information Service  2007, Vol. 2 Issue (4): 8-11    DOI: 10.11925/infotech.1003-3513.2007.04.03
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An Ontology-Based Approach to Construct a Knowledge Base about Rare Books
Luo Chenguang   Shan Chuan   Wang Shan
1( School of Mathematical Sciences, Peking University, Beijing 100871, China)
2(Department of Information Management,Peking University,Beijing 100871,China)
3(School of Foreign Studies, Hunan University of Science and Technology, Xiangtan 411201, China)
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Abstract  

Based on the cataloging rules for metadata of rare books , this paper proposes a solution of Ontology-based knowledge base for rare books. Then, describes the whole framework and gives an implementation in prototype with the semantic Web.

Key wordsRare books      Knowledge base      Ontology      Semantic Web     
Received: 14 March 2007      Published: 25 April 2007
: 

G255.1

 
Corresponding Authors: Luo Chenguang     E-mail: olove@is.pku.edu.cn
About author:: Luo Chenguang,Shan Chuan,Wang Shan

Cite this article:

Luo Chenguang,Shan Chuan,Wang Shan . An Ontology-Based Approach to Construct a Knowledge Base about Rare Books. New Technology of Library and Information Service, 2007, 2(4): 8-11.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2007.04.03     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2007/V2/I4/8

1姚伯岳, 张丽娟, 于义芳等.古籍描述元数据著录规则. http://www.ndcnc.gov.cn/libpage/bzgf/古籍描述元数据著录规则.pdf (Accessed Oct.24,2006)
2Aristotle R LSemantics and Ontology. Boston: Brill, Leiden, 2002
3DCMI Usage Board. DCMI Metadata Terms. http://dublincore.org/documents/dcmi-terms/  (Accessed Dec.26,2006)
4吴建中. DC元数据. 上海: 科学技术文献出版社, 2000
5刘升平, 兰煜峰译. OWL, Web本体语言概述: 推荐标准. http://www.transwiki.org/cn/owloverview.htm (Accessed Oct.26,2006)
6朱礼军, 刘升平, 徐涵等译. RDF入门: 推荐标准. http://zh.transwiki.org/cn/rdfprimer.htm (Accessed Oct.29,2006)
7The Protégé Group, Protégé User’s Guide. http://protege.stanford.edu/doc/users_guide(Accessed Nov.1,2006)

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