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• W2117583592 abstract "We investigate scalable algorithms for automated composition (WSC) of Semantic Web Services. Our notion of WSC is very general: the composition semantics includes background knowledge and we use the most general notion of matching, partial matches, where several web services can cooperate, each covering only a part of a requirement. Unsurprisingly, automatic composition in this setting is very hard. We identify a special case with simpler semantics, which covers many relevant scenarios. We develop a composition tool for this special case. Our goal is to achieve scalability: we overcome large search spaces by guiding the search using heuristic techniques. The computed solutions are optimal up to a constant factor. We test our approach on a simple, yet powerful real world use-case; the initial results attest the potential of the approach." @default.
• W2117583592 created "2016-06-24" @default.
• W2117583592 creator A5023509442 @default.
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• W2117583592 date "2008-09-01" @default.
• W2117583592 modified "2023-09-26" @default.
• W2117583592 title "Towards Scalable Web Service Composition with Partial Matches" @default.
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• W2117583592 doi "https://doi.org/10.1109/icws.2008.69" @default.
• W2117583592 hasPublicationYear "2008" @default.
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