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New Technology of Library and Information Service  2011, Vol. 27 Issue (10): 1-6    DOI: 10.11925/infotech.1003-3513.2011.10.01
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Review of the Ontology Patterns Classification
Li Xiaohui1,2,3, Sun Tan1, Song Wen1
1. National Science Library, Chinese Academy of Sciences, Beijing 100190, China;
2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China;
3. Harbin Normal University Library, Harbin 150025, China
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Abstract  Ontology patterns classification research is the first stage of understanding and the basis of patterns using. There are 3 kinds of Ontology patterns classification: the whole Ontology patterns Classification framework proposed by Blomqvist, NeOn, and the Ontology design patterns classification researched by the University of Manchester. This paper describes each kind topology by examples, then proposes existing questions and future work.
Key wordsOntology      Ontology patterns      Ontology design patterns      Ontology patterns classification     
Received: 27 June 2011      Published: 03 December 2011
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Cite this article:

Li Xiaohui, Sun Tan, Song Wen. Review of the Ontology Patterns Classification. New Technology of Library and Information Service, 2011, 27(10): 1-6.

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https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2011.10.01     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2011/V27/I10/1

[1] Blomqvist E.Semi-automatic Ontology Construction Based on Patterns . Linkping:Linkping University, 2009.

[2] Clark P, Thompson J, Porter B. Knowledge Patterns . In: Proceedings of International Conference on Principles of Knowledge Representation and Reasoning.2000:90-94.

[3] Gangemi A. Ontology Design Patterns for Semantic Web Content .In: Proceedings of International Semantic Web Conference,Sardinia.2005:262-276.

[4] Svatek V. Design Patterns for Semantic Web Ontologies: Motivation and Discussion . In: Proceedings of Conference on Business Information Systems.2004.

[5] Ontology Engineering and Patterns Task Force (OEP) . .http://www.w3.org/2001/sw/BestPractices/ OEP/.

[6] Ontology Design Patterns . .http://ontologydesignpatterns.org/wiki/Community:ListPatterns.

[7] Ontology Design Patterns(ODPs)Public Catalog . .http://www.gong.manchester.ac.uk/odp/html/index.html.

[8] WOP 2009 - Workshop on Ontology Patterns . .http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-516/.

[9] Welcome to the 2nd Workshop on Ontology Patterns - WOP2010 . .http://ontologydesignpatterns.org/wiki/WOP:2010 Topics.

[10] Blomqvist E. Ontology Patterns - Typology and Experiences from Design Pattern Development .In: Proceedings of the 26th Annual Workshop of the Swedish Artificial Intelligence Society. Uppsala: Linkping University Electronic Press,2010.

[11] Sabou M. D2.2.3 Methods and Tools for the Evaluation and Selection of Knowledge Components . .http://www.neon-project.org/web-content/images/Publications/neon_2009_d223.pdf.

[12] Presutti V. D2.5.1:A Library of Ontology Design Patterns: Reusable Solutions for Collaborative Design of Networked Ontologies.http://www.neon-project.org/web-content/images/Publications/neon_2008_d2.5.1.pdf.

[13] Suarez-Figueroa M C, Brockmans S, Gangemi A.NeOn Modelling Components. NeOn Deliverable D5.1.1, Universidad Politecnica de Madrid . .http://www.neon-project.org/nw/Deliverables.

[14] Parameter.http://ontologydesignpatterns.org/wiki/Submissions:Parameter.

[15] Noy N, Rector A. Defining N-ary Relations on the Semantic Web .(2006-04-12). .http://www.w3.org/TR/swbp-n-aryRelations/.

[16] N-Ary Relation Pattern (OWL 2).http://ontologydesignpatterns.org/wiki/Submissions:N-Ary_Relation_Pattern_%28OWL_2%29.

[17] View Inheritance.http://ontologydesignpatterns.org/wiki/Submissions:View_Inheritance.

[18] Submissions:Lexico Syntactic ODP Corresponding to Equivalence Relation Between Classes ODP . .http://ontologydesignpatterns.org/wiki/Submissions:Lexico_Syntactic_ODP_corresponding_to_Equivalence_relation_between_Classes_ODP.

[19] Ond r ˇ ej váb-Zamazal.Pattern-based Ontology Matching and Ontology Alignment Evaluation .Prague:University of Economics,2010.

[20] Class by Attribute Value . .http://ontologydesignpatterns.org/wiki/Submissions:Class_by_attribute_value.

[21] Scharffe F. Correspondence Patterns Representation .Innsbruck: the University of Innsbruck,2009.

[22] ReengineeringOP.http://ontologydesignpatterns.org/wiki/Category:ReengineeringOP.
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