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Ranking Semantic Web Services Using Rules Evaluation and Constraint Programming

 

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Opened Access Ranking Semantic Web Services Using Rules Evaluation and Constraint Programming
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Author: García Rodríguez, José María
Toma, Ioan
Ruiz Cortés, David
Ruiz Cortés, Antonio
Ding, Ying
Gómez, Juan Miguel
Department: Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
Date: 2008
Published in: IV Jornadads Científicas-Técnicas en Servicios Web y SOA, 2008, Sevilla, Spain
Document type: Presentation
Abstract: Current Semantic Web Services discovery and ranking proposals are based on user preferences descriptions whose expressiveness are limited by the underlying logical formalism used. Thus, highly expressive preference descriptions, such as utility functions, cannot be handled by the kind of reasoners traditionally used to perform Semantic Web Services tasks. in this work, we outline a hybrid approach to allow the introduction of utility functions in user preferences descriptions, where both rules evaluation and constraint programming are used to perform the ranking process. Our proposal extends the Web Service Modeling Ontology with these descriptions, providing a highly expressive framework to specify preferences, and enabling a more general ranking process, which can be performed by different engines.
Size: 117.8Kb
Format: PDF

URI: http://hdl.handle.net/11441/26341

This work is under a Creative Commons License: 
Atribución-NoComercial-SinDerivadas 4.0 España

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