A Semantic Web Service Discovery Method Based on Ontology


Article Preview

Many methods have been used such as UDDI and DWS to discovery requested web services. But they are just a kind of simple syntax match based on keywords and have a low ratio and precision. This paper proposes A Semantic Web Service Discovery Method Based on Ontology. It uses tree-form data structure to describe the web services and give all the nodes a weight value by certain strategy, then compute the semantic similarity between the web services requested and the services registered. To validate the feasibility and effectiveness of the algorithm, we construct a self-developed prototype system to show how well it works. The experiments prove that this algorithm has high recall and precision than other methods.



Edited by:

Qi Luo




W. Y. Tian and Z. J. Xu, "A Semantic Web Service Discovery Method Based on Ontology", Applied Mechanics and Materials, Vols. 20-23, pp. 878-883, 2010

Online since:

January 2010




[1] Deng ShuiGuang, Wu ZhaoHui, Kuang Li, Lin Chuan, JinYue-Ping, Management of service flow in a flexible way, Lecture Notes in Computer Science, 2004, pp.428-438.

DOI: https://doi.org/10.1007/978-3-540-30480-7_45

[2] K. Sivashanmugam, K. Verma, A. Sheth and J. Miller, Adding semantic to web services standards, In Proceedings of the 1st International Conference on Web services (ICWS' 03), USA, (2007).

DOI: https://doi.org/10.1109/icws.2006.116

[3] Dipanjan Chakraborty, Filip Perich, Sasikanth Avanchaet al. DReggie, Semantic service discovery for M-Commerce applications, Proceedings of the Workshop on Reliable and Secure Applications in Mobile Environment, New Orleans, USA, 2001, pp.28-31.

[4] Klein M., Bernstein, A Searching services on the semantic Web using process ontologies, Proceedings of the International Semantic Web Working Symposium (SWWS). Amsterdam, IOS Press, 2001, p.159~172.

[5] Jian Wu and Zhaohui Wu, Similarity-based Web service Matchmaking, proceedings of the 2005 IEEE International Conference on Services Computing, China, (2005).

DOI: https://doi.org/10.1109/scc.2005.93