Modeling web services based on the bayesian network

Authors:
Kun Yue;Weiyi Liu;Xiaoling Wang;Aoying Zhou
Affiliations:
Department of Computer Science and Engineering, School of Information Science and Engineering, Yunnan University, 650091, Kunming, P.R. China;Department of Computer Science and Engineering, School of Information Science and Engineering, Yunnan University, 650091, Kunming, P.R. China;Department of Computer Science and Engineering, Fudan University, Shanghai, P.R. China;Department of Computer Science and Engineering, Fudan University, Shanghai, P.R. China
Venue:
ASIAN'05 Proceedings of the 10th Asian Computing Science conference on Advances in computer science: data management on the web
Year:
2005

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Abstract

In this paper, aiming at the semantics description of Web services, a novel approach to the probabilistic graphical modeling of Web services is proposed, and the services Bayesian network is constructed based on the application of the least fixpoint and conditional mutual information. From the deduction and statistics of historical invocations, the inherent dependencies among elementary services are described, and measured qualitatively and quantitatively. Preliminary experiments and analysis show that our approach is effective and feasible.