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Abstract | ||
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Abstract – Most Semantic Web Services discovery ap-proaches are based on Description Logics, allowing alimited expressiveness when describing Quality-of-Servicepreferences. Furthermore, DLs is not suited to perform se-lection tasks, because these are modeled as optimizationproblems. In this work, we present a hybrid discovery andselection model for Semantic Web Services that takes careof Q O S preferences. Our approachsplits the whole processinto two stages, using the most suited engine in each one,depending on its search nature. In order to perform Q O S -aware discovery and selection, user preferences have to besemanticallydescribed as the rest of the service description.Our model provides an ontology for user preferences, so in-stances can be transformed into optimization problems thatcan be solved by using the most suited engine. Keywords: Service Discovery,Quality-of-Service,Seman-tic Web Services, Ontology Languages, QoS-Aware Selec-tion. 1 Introduction Most approaches on automatic discovery of SemanticWeb Services (SWS) use Description Logics (DLs) reason-ers to perform the matching [8,13,16,20,27,28]. Theseapproaches have limitations regarding with the expres-siveness of searches, especially when there are Quality-of-Service (Q |
Year | Venue | Field |
|---|---|---|
2008 | SWWS | Ontology,Qos aware,Information retrieval,Computer science,Description logic,Service discovery,Web service,Optimization problem,Expressivity,Ontology language |
DocType | Citations | PageRank |
Conference | 1 | 0.35 |
References | Authors | |
22 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| José María García | 1 | 115 | 8.83 |
| David Ruiz | 2 | 3 | 1.09 |
| Antonio Ruiz Cortés | 3 | 847 | 66.93 |
| Manuel Resinas | 4 | 403 | 34.53 |