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Data Analysis and Knowledge Discovery  2007, Vol. 2 Issue (1): 1-5    DOI: 10.11925/infotech.1003-3513.2007.01.01
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A Web Service Composition Method Based on Ontology
Wang Jiesheng1   Li Zhoujun2   Li Mengjun1
1(School of Computer, National University of Defence Technology, Changsha 410073, China)
2(School of Computer Science & Engineering, Beihang University, Beijing 100083, China)
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Abstract  

Against the restriction in Web service composition based on syntax, waging research on integration of Ontology of the Web services’ application domain in Web service composition based on syntax, results in a proposal of a Web service composition method based on Ontology, which accomplishes the purpose of intellegent integration of Web service resources on a semantic level by meeting the users’ need in terms of Web service’s function as well as Web service’s behavior.
Key words： Ontology      Web service      Service composition     
Received: 09 October 2006      Published: 25 January 2007
:  TP393  
Corresponding Authors: Wang Jiesheng     E-mail: jackyots@126.com
About author:: Wang Jiesheng,Li Zhoujun,Li Mengjun
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Cite this article:

Wang Jiesheng, Li Zhoujun, Li Mengjun . A Web Service Composition Method Based on Ontology. Data Analysis and Knowledge Discovery, 2007, 2(1): 1-5.

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https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2007.01.01     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2007/V2/I1/1

1Deborah L. McGuinness, Frank van Harmelen OWL Web Ontology Language Overview. http://www.w3.org/TR/owl-features/ (Accessed Sept.8,2006)
2Ion Constantinescu, Boi Faltings, Walter Binder Large Scale Type-Compatible Service Composition Bob Werner Proceedings of the IEEE International Conference on Web Services (ICWS’04). San Diego: IEEE Computer Society, 2004.506-513
3Sheila A. McIlraith, Tran Cao Son Adapting Golog for Composition of Semantic Web Services Dieter Fensel, Fausto Giunchiglia, Deborah L. McGuinness, Mary-Anne Williams Proceedingss of the Eights International Conference on Principles and Knowledge Representation and Reasoning (KR’02). Toulouse: Morgan Kaufmann, 2002.482-496
4Evren Sirin, Bijan Parsia, Dan Wu, James A. Hendler, Dana S. Nau HTN planning for Web Service composition using SHOP2. Journal of Web Semantics,2004,1(4): 377-396
5Franz Baader, Carsten Lutz, Maja Milicic, Ulrike Sattler, Frank Wolter A Description Logic Based Approach to Reasoning about Web Services Christoph Bussler Proceedings of the WWW 2005 Workshop on Web Service Semantics. Chiba: ACM Press, 2005.636-647
6Gwen Salaün, Lucas Bordeaux, Marco Schaerf. Describing and Reasoning on Web Services using Process Algebra Bob Werner Proceedings of the IEEE International Conference on Web Services (ICWS’04). San Diego: IEEE Computer Society, 2004.43-51
7Daniela Berardi, Diego Calvanese, Giuseppe De Giacomo, Maurizio Lenzerini and Massimo  Mecella Automatic Service Composition Based on Behavioral Descriptions. International Journal of Cooperative Information Systems, 2005, 14(4): 333-376
8Jinghai Rao, Peep Küngas, Mihhail Matskin Logic-based Web Services Composition: From Service Description to Process Model Bob Werner Proceedings of the IEEE International Conference on Web Services (ICWS’04). San Diego: IEEE Computer Society, 2004.446-453
9Marco Pistore, Paolo Traverso, Piergiorgio Bertoli, A. Marconi Automated synthesis of executable web service compositions from BPEL4WS processes Allan Ellis, Tatsuya Hagino Proceedings of the 14th International World Wide Web Conference (WWW 2005) Special interest tracks and posters. New York: ACM Press, 2005.1186-1187
10Seog-Chan Oh, Dongwon Lee, Soundar Kumara  A Comparative Illustration of AI Planning-based Web Services Composition  ACM SIGecom Exchanges,2005, 5(5): 1-10
11Massimo Paolucci, Takahiro Kawamura, Terry R. Payne, Katia P. Sycara Semantic Matching of Web Services CapabilitiesIan Horrocks, James A. Hendler Proceedings of the First International Semantic Web Conference on The Semantic Web. Heidelberg: Springer-Verlag, 2002.333-347
12Lei Li, Ian Horrocks A software framework for matchmaking based on semantic web technology Christoph Bussler, Stefan Decker, Daniel Schwabe, and Oscar Pastor Proceedings of the Twelfth International World Wide Web Conference (WWW 2003). New York: ACM Press, 2003.331-339
13Maarten de Rijke Modal logics and description logics E.Franconi, G. De Giacomo, R.M. MacGregor, W. Nutt, and C.A. Welty Proceedings of the DL'98. CEUR-WS.org, 1998.1-3
14Mindswap Pellet. http://www.mindswap.org/2003/pellet/(Accessed Sept.8,2006)
15Ian Horrocks FaCT. http://www.cs.man.ac.uk/~horrocks/FaCT/(Accessed Sept.8,2006)
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