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New Technology of Library and Information Service  2006, Vol. 1 Issue (5): 18-21    DOI: 10.11925/infotech.1003-3513.2006.05.05
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OWL Knowledge Representing Based on China Discipline System
Yu Juan   Wang Jianzhen   Ma Jinping   Li Yong
(Department of Management Science and Engineering, Qingdao University, Qingdao 266071,China)
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Abstract  

A teaching and researching aid system platform based on semantic Web is developed. It is based on current China discipline system and uses Web Ontology Language OWL as the representing language. This method makes distinctions among different types of knowledge representation. An example is given to explain the implement of this representation method.

Key wordsSemantic Web      OWL      Knowledge representation      Discipline system      Teaching and researching aid system     
Received: 22 February 2006      Published: 25 May 2006
ZTFLH: 

TP182

 
Corresponding Authors: Yu Juan     E-mail: zz9568@21cn.com
About author:: Yu Juan,Wang Jianzhen,Ma Jinping,Li Yong

Cite this article:

Yu Juan,Wang Jianzhen,Ma Jinping,Li Yong . OWL Knowledge Representing Based on China Discipline System. New Technology of Library and Information Service, 2006, 1(5): 18-21.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2006.05.05     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2006/V1/I5/18

1W3C. Semantic Web Activity Statement.http://www.w3.org/2001/se/Activity(Accessed Dec.2, 2004)
2Graham Klyne, Jeremy J. Carroll. Resource Description Framework (RDF): Concepts and Abstract Syntax. http://www.w3.org/TR/2004/REC-rdf-concepts-20040210/(Accessed Jul.14, 2004)
3Brickley D, Guha R. Resource Description Framework (RDF) Schema Specification. http://www.w3.org/TR/2000/CR-rdf-schema-20000327(Accessed Jul.14, 2004)
4Tim Berners-Lee et al. Some Notes on the differences Between DAML+OIL and OIL. http://www.daml.org/2000/12/difference-oil.html(Accessed Sep.26, 2004)
5Uche Ogbuji, Roxane Ouellet. DAML Reference. http://www.xml.com/pub/at/3(Accessed Sep.26, 2004)
6Connolly D et al. DAML+OIL (March 2001) Reference Description. http://www.w3. org/TR/2001/NOTE+DAML+OIL-reference-20011218(Accessed Sep.26, 2004)
7Michael K. Smith, Chris Welty et al. OWL Web Ontology Language Guide. http://www.w3.org/TR/2004/REC-owl-guide-20040210/(Accessed Jan.1, 2005)
8教育部. 普通高等学校本科专业目录. 北京:中国国家教育部, 1998
9Alan Rector. Representing Specified Values in OWL: "value partitions" and "value sets". http://www.w3.org/TR/2005/NOTE-swbp-specified-values-20050517(Accessed May.21, 2005)
10Deborah L. McGuinness et al. OWL Web Ontology Language Overview. http://www.w3.org/TR/2004/REC-owl-features-20040210/(Accessed Jan.1, 2005)
11Thompson H S et al. XML Schema Part 1: Structures. http://www.w3.org/TR/2001/REC-xmlschema-1-20010502/(Accessed Jun.18, 2005)
12Matthew Horridge, Holger Knublauch et al. A practical guide to building OWL ontology using the protégé-OWL Plugin and CO-ODE tools. The University of Manchester, 2004
13Sean Bechhofer; Raphael Volz; Phillip Lord. Cooking the Semantic Web with the OWL API. Springer-Verlag GmbH, 2003, 2870(10): 659-675
14Mike Dean, Guus Schreiber et al. OWL Web Ontology Language Reference. http://www.w3.org/TR/2004/REC-owl-ref-20040210/(Accessed Jan.1, 2005)
15Su. H, Kramer D et al. XEM: Managing the evolution of XML documents. 11th International Workshop on Research Issues on Data Engineering. US: IEEE, 2001:103-110
16Frank Manola, Eric Miller. RDF Primer. http://www.w3.org/TR/2004/REC-rdf-primer-20040210/ (Accessed Sep.26, 2004)

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