13 January 2012 A research on semantic Web services discovery mechanism
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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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhijun Chen, Zhijun Chen, Xinke Li, Xinke Li, "A research on semantic Web services discovery mechanism", 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; https://doi.org/10.1117/12.920100


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