A Fuzzy Set Approach to Handle Preferences in Service Retrieval

Abstract : Abstract. Current approaches for service discovery are based on semantic knowledge, such as ontologies and service behavior (described as a process model). However, these approaches still remain with a high selectivity rate, resulting in a large number of services offering similar functionalities and behavior. One way to improve the selectivity rate is to cope with user preferences defined on quality attributes. In this paper, we propose a novel approach for service retrieval that takes into account the service process model and relies both on preference satisfiability and structural similarity. User query and target process models are represented as annotated graphs, where user preferences on QoS attributes are modelled by means of fuzzy sets. A flexible evaluation strategy based on fuzzy linguistic quantifiers is introduced. Finally, different ranking methods are discussed.
Type de document :
Communication dans un congrès
27èmes journées Bases de Données Avancées, BDA 2011, Oct 2011, Rabat, Morocco. 2011
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https://hal.archives-ouvertes.fr/hal-00664237
Contributeur : Isabelle Moudenner Cohen <>
Soumis le : lundi 30 janvier 2012 - 10:32:51
Dernière modification le : jeudi 9 février 2017 - 15:44:04

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  • HAL Id : hal-00664237, version 1

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Katia Abbaci, Mokrane Bouzeghoub, Daniela Grigori, Allel Hadjali, Fernando Lemos, et al.. A Fuzzy Set Approach to Handle Preferences in Service Retrieval. 27èmes journées Bases de Données Avancées, BDA 2011, Oct 2011, Rabat, Morocco. 2011. <hal-00664237>

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