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Proceedings Paper

A research on semantic Web services discovery mechanism
Author(s): Zhijun Chen; Xinke Li
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Paper Abstract

Semantic Web service discovery is focused on finding the best services from the majority of services which provide similar or same functions based on Semantic matching Algorithms. This paper firstly proposed a new QoS model for describing Semantic Web services by adding a new significant characteristic (SU ratio) of QoS. To raise the finding work efficiency, we then give an improved algorithm for matching semantic web services; the new algorithm does not only focus on the inclusion relation of ontology concepts in taxonomic tree as implemented by classic algorithms, but also includes binary relations. Through the comparison of weighted semantic distance in taxonomic tree, the similarity computation is more accuracy and the precision ratio and recall ratio of algorithm is enhanced. Finally a preliminary case study was accomplished in order to prove its applicability and viability.

Paper Details

Date Published: 13 January 2012
PDF: 6 pages
Proc. SPIE 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies, 835027 (13 January 2012); doi: 10.1117/12.920100
Show Author Affiliations
Zhijun Chen, Hefei Univ. of Technology (China)
Xinke Li, Hefei Univ. of Technology (China)


Published in SPIE Proceedings Vol. 8350:
Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies
Safaa S. Mahmoud; Zhu Zeng; Yuting Li, Editor(s)

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