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2011 ieee international conference on services computing top-k web service compositions using fuzzy dominance relationship.
| Content Provider | CiteSeerX |
|---|---|
| Author | Benouaret, Karim Benslimane, Djamal Hadjali, Allel Barhamgi, Mahmoud |
| Abstract | Data Web service composition is a powerful means to answer users ’ complex queries. User preferences are a key aspect that must be taken into account in the composition scheme. In this paper, we present an approach to automatically compose Data Web services while taking into account the user preferences. User preferences are modeled thanks to fuzzy sets. We use an RDF query rewriting algorithm to determine the relevant services. The fuzzy constraints of the relevant services are matched to those of the query using a set of matching methods. We rank-order services using a fuzzification of Pareto dominance, then compute the top-k service compositions. We propose also a method to improve the diversity of returned compositions while maintaining as possible the compositions with the highest scores. Finally, we present a thorough experimental study of our approach. 1. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Ieee International Conference User Preference Top-k Web Service Composition Fuzzy Dominance Relationship Relevant Service Pareto Dominance Fuzzy Constraint Rdf Query Key Aspect Composition Scheme Thorough Experimental Study Powerful Mean Returned Composition User Complex Query Top-k Service Composition Data Web Service Data Web Service Composition |
| Content Type | Text |