Towards web services composition based on the mining and reasoning of their causal relationships

Authors:
Kun Yue;Weiyi Liu;Weihua Li
Affiliations:
Department of Computer Science and Engineering, School of Information Science and Engineering, Yunnan University, Kunming, P.R. China;Department of Computer Science and Engineering, School of Information Science and Engineering, Yunnan University, Kunming, P.R. China;Department of Computer Science and Engineering, School of Information Science and Engineering, Yunnan University, Kunming, P.R. China
Venue:
APWeb/WAIM'07 Proceedings of the joint 9th Asia-Pacific web and 8th international conference on web-age information management conference on Advances in data and web management
Year:
2007

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Abstract

In this paper, a probabilistic graphical modeling approach for Web services is proposed, and the Web services Bayesian network (WSBN) is constructed by mining the historical invocations among them. Further, the semantic guidance to Web services composition is generated based on the Markov blanket and causality reasoning in the WSBN. Preliminary experiments and performance analysis show that our approach is effective and feasible.