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Semantic Web Service (SWS) composition is a challenging AI problem. We describe a theoretical and experimental framework based upon finite model search for constrained object models to address this problem. In many AI situations the input is rather simple, and the results complex to obtain. SWS composition requests themselves can turn very complex, and the problem of building these requests can be viewed as an AI problem of its own. This paper presents an operational end to end approach todoi:10.1109/ictai.2008.145 dblp:conf/ictai/AlbertHK08a fatcat:d3bvxwhdvvcejotdrlwgoh4zku