Fishery Web Service Composition Method Based on Ontology

doi:10.1016/S1671-2927(00)8601

Journal of Integrative Agriculture ›› 2012, Vol. 11 ›› Issue (5): 792-799.DOI: 10.1016/S1671-2927(00)8601

Fishery Web Service Composition Method Based on Ontology

YU Qing-mei, WANG Lan, HUANG Dong-mei

School of Information Technology, Shanghai Ocean University, Shanghai 201306, P.R.China

收稿日期:2011-06-14 出版日期:2012-05-01 发布日期:2012-07-18
通讯作者: Correspondence YU Qing-mei, Tel: +86-21-61900622, E-mail: qmyu@shou.edu.cn
作者简介:YU Qing-mei, Tel: +86-21-61900622, E-mail: qmyu@shou.edu.cn
基金资助:
This work was funded by the National High Technology Research and Development Program of China (2006AA10Z239) and the Key Technologies R&D Program of China during the 11th Five-Year Plan period (2006BAD10A05).

Fishery Web Service Composition Method Based on Ontology

YU Qing-mei, WANG Lan, HUANG Dong-mei

School of Information Technology, Shanghai Ocean University, Shanghai 201306, P.R.China

Received:2011-06-14 Online:2012-05-01 Published:2012-07-18
Contact: Correspondence YU Qing-mei, Tel: +86-21-61900622, E-mail: qmyu@shou.edu.cn
About author:YU Qing-mei, Tel: +86-21-61900622, E-mail: qmyu@shou.edu.cn
Supported by:
This work was funded by the National High Technology Research and Development Program of China (2006AA10Z239) and the Key Technologies R&D Program of China during the 11th Five-Year Plan period (2006BAD10A05).

摘要/Abstract

摘要： Various fishery information systems have been developed in different times and on different platforms. Web service application composition is crucial in the sharing and integration of fishery data and information. In the present paper, a heuristic web service composition method based on fishery ontology is presented, and the proposed web services are described. Ontology reasoning capability was applied to generate a service composition graph. The heuristic function was introduced to reduce the searching space. The experimental results show that the algorithm used considers the services semantic similarity and adjusts web service composition plan by dynamically relying on the empirical data.

关键词: web services composition, semantic similarity, fishery ontology, heuristic function

Abstract: Various fishery information systems have been developed in different times and on different platforms. Web service application composition is crucial in the sharing and integration of fishery data and information. In the present paper, a heuristic web service composition method based on fishery ontology is presented, and the proposed web services are described. Ontology reasoning capability was applied to generate a service composition graph. The heuristic function was introduced to reduce the searching space. The experimental results show that the algorithm used considers the services semantic similarity and adjusts web service composition plan by dynamically relying on the empirical data.

Key words: web services composition, semantic similarity, fishery ontology, heuristic function

YU Qing-mei, WANG Lan, HUANG Dong-mei. Fishery Web Service Composition Method Based on Ontology[J]. Journal of Integrative Agriculture, 2012, 11(5): 792-799.

参考文献

[1]Akkiraju R, Srivastava B, Ivan A A, Goodwin R, Syeda-Mahmood T. 2006. SEMAPLAN: combining planning with semantic matching to achieve web service composition. In: IEEE International Conference on Web Services. IEEE Computer Society, USA. pp. 37-44.

[2]Berners-Lee T, Hendler J, Lassila O. 2001. The semantic web. Scientific American Magazine, 284, 34-43. Cardoso J, Sheth A. 2003. Semantic E-workflow composition. Journal of Intelligent Information Systems, 12, 191-225.

[3]Deng S G, Wu J, Li Y, Wu Z H. 2007. Automatic web service composition based on backward tree. Journal of Software, 18, 1896-1910. (in Chinese)

[4]DiBernardo M, Pottinger R, Wilkinson M. 2008. Semiautomatic web service composition for the life sciences using the biomoby semantic web framework. Journal of Biomedical Informatics, 41, 837-847.

[5]Dustdar S, Schreiner W. 2005. A survey on web services composition. International Journal of Web and Grid Services, 1, 1-30.

[6]Ganesan P, Garcia-Molina H, Widom J. 2003. Exploiting hierarchical domain structure to compute similarity. ACM Transactions on Information Systems, 21, 64-93.

[7]Hamadi R, Benatallah B. 2003. A Petri net-based model for web service composition. Proceedings of the 14th Australasian Database Conference, 17, 191-200.

[8]Hashemian S V, Mavaddat F. 2006. A graph-based framework for composition of stateless web services. In: Proceedings of the European Conference on Web Services. IEEE Computer Society, USA. pp. 75-86.

[9]Hu HT, Li G, Han YB. 2005. An approach to business-useroriented larger-granularity service composition. Chinese Journal of Computers, 28, 694-703. (in Chinese)

[10]Lin D. 1998. An information-theoretic definition of similarity. In: Shavlik J W, ed., Proceedings of the Fifteenth International Conference on Machine Learning. MKP, San Francisco. pp. 296-304.

[11]Liu J M, Ning G, Shi B L. 2005. Non-backtrace backward chaining dynamic composition of web services based on mediator. Journal of Computer Research and Development, 42, 1153-1158. (in Chinese)

[12]Oh S C, On B W, Larson E J, Lee D. 2005. BF*: Web services discovery and composition as graph search problem. In: IEEE International Conference on e-Technology, e-Commerce and e-Service. IEEE Computer Society, USA. pp. 784-786.

[13]Rao J H, Kungas P, Matskin M. 2004. Logic-based web services composition: from service description to process model. In: IEEE International Conference on Web Services. IEEE Computer Society, USA. pp. 446-453.

[14]Senvar M, Bener A. 2006. Matchmaking of semantic web services using semantic-distance information. Advances in information. Systems Lecture Notes in Computer Science, 4243, 177-186.

[15]Shen G, Li J. 2009. Web service automatic composition algorithm based on semantics. Computer Engineering, 35, 262-266. (in Chinese)

[16]Silva E G D, Pires L F, Sinderen M V. 2007. An algorithm for automatic service composition. In: Proceedings of the 1st International Workshop on Architectures, Concepts and Technologies for Service Oriented Computing. INSTICC, Portugal. pp. 65-74.

[17]Smith M K, Welty C, McGuinness D L. 2004. OWL web ontology language guide. [2007-07-10]. http://www.w3. org/TR/2004/REC-owl-guide-20040210/

[18]Su G Q. 2003. The application of information technology to fishery. Science and Technology Management Research, 6, 83-85. (in Chinese)

[19]Wang J, Li R, Li Z, Tang J. 2007. Research on method of concept semantic similarity based on ontology. Computer Engineering, 33, 201-203. (in Chinese)

[20]Wu D, Parsia B, Sirin E, Hendler J, Nau D. 2003. Automating DAML-S web services composition using SHOP2. Lecture Notes in Computer Science, 2870, 195-210.

[21]Xu J, Reiff-Marganiec S. 2008. Towards heuristic web services composition using immune algorithm. In: IEEE International Conference on Web Services. IEEE Computer Society, USA. pp. 238-245.

[22]Zhao H B, Doshi P. 2006. A hierarchical framework for composing nested web processes. Lecture Notes in Computer Science, 4294, 116-128.

Fishery Web Service Composition Method Based on Ontology

Fishery Web Service Composition Method Based on Ontology

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