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Title: The PORSCE II Framework: Using AI Planning for Automated Semantic Web Service Composition
Author(s): O. Hatzi, D. Vrakas, N. Bassiliades, D. Anagnostopoulos, I. Vlahavas.
Availability: Click here to download the PDF (Acrobat Reader) file (17 pages).
Appeared in: The Knowledge Engineering Review, Cambridge University Press, Vol. 28, No. 2, pp. 137-156, 2013.
Abstract: This paper presents PORSCE II, an integrated system that performs automatic semantic web service composition exploiting AI techniques, specifically planning. Essential steps in achieving web service composition include the translation of the web service composition problem into a solver-ready planning domain and problem, followed by the acquisition of solutions, and the translation of the solutions back to web service terms. The solutions to the problem, that is, the descriptions of the desired composite service, are obtained by means of external domain-independent planning systems, they are visualized and finally evaluated. Throughout the entire process, the system exploits semantic information extracted from the semantic descriptions of the available web services and the corresponding ontologies, in order to perform composition under semantic awareness and relaxation.
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1 Zhang, Y. and Zhu, H. An Intelligent Broker Approach to Semantics-based Service Composition, Proc. of the 35th IEEE Annual Computer Software and Applications Conference (COMPSAC 2011), 18-22 July 2011, Munich, Germany, (In press).
2 R. Bartak, S. Fratini, T. L. McCluskey, "Preface to special issue on knowledge engineering for planning and scheduling", Knowledge Engineering Review, Volume 28, Issue 2, Pages 117-119, 2013
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5 WANG Zhong-jie, WANG Shao-peng, XU Fei, Heuristic method for service network customization, Computer Integrated Manufacturing Systems, Vol. 20, No. 9, 2014.
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7 WANG Xiang-liui, FENG Zhi-yong, Survey on definition, methods and verification of semantic Web service automatic composition, Application Research of Computers, Vol. 31, No. 5, May 2014
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