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Title: Semantic Web Service Composition Using Planning and Ontology Concept Relevance
Author(s): O. Hatzi, G. Meditskos, D. Vrakas, N. Bassiliades, D. Anagnostopoulos, I. Vlahavas.
Availability: Click here to download the PDF (Acrobat Reader) file (4 pages).
Appeared in: 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, pp. 418-421, Milan, Italy, 2009.
Abstract: This paper presents PORSCE II, a system that combines planning and ontology concept relevance for automatically composing semantic web services. The presented approach includes transformation of the web service composition problem into a planning problem, enhancement with semantic awareness and relaxation and solution through external planners. The produced plans are visualized and their accuracy is assessed.
See also :

        This paper has been cited by the following:

1 Yan Leng, "SEMANTICS-AWARE PLANNING METHODOLOGY FOR AUTOMATIC WEB SERVICE COMPOSITION", PhD Thesis, Rheinischen Friedrich-Wilhelms University, Bohn 2012
2 Hajar Omrana, FatimaZahra Belouadha, Ounsa Roudias, "Templatebased matching algorithm for dynamic web services discovery", International Journal of Information and Communication Technology, Volume 4 (2), pp. 198-209, 2012
3 F. Belouadha, H. Omrana, O. Roudiès, "Web Services-Enhanced Agile Modeling and Integrating Business Processes". E-Business - Applications and global acceptance, Chapter 5, pp. 73-98, Intech, 2012
4 Mukhopadhyay, D., Chougule, A., A framework for semi-automated web service composition in semantic web, (2013) Proceedings - 2013 International Conference on Cloud and Ubiquitous Computing and Emerging Technologies, CUBE 2013, art. no. 6701496, pp. 161-166.
5 Huy Pham, "A Practical Planning Integration Framework for Ontology-Driven Applications", PhD Thesis, Department of Computer Science, The University of Guelph, Canada, August 2013.