Affiliations: Universidad Autónoma de Yucatán – Facultad de Matemáticas, Periférico Norte km 33.5, Mérida, YUC., Mexico
Correspondence:
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Corresponding author. Francisco Moo-Mena, Universidad Autónoma de Yucatán – Facultad de
Matemáticas, Periférico Norte km 33.5, Mérida, YUC., Mexico. Tel.: +52 999 942 3140;
E-mail: mmena@correo.uady.mx.
Abstract: The applications based on Web services (WS) composition are gaining momentum as an approach to build autonomous, heterogenous and distributed applications. Often a unique WS does not provide the required funcionality, therefore it is necessary to carry out a composition of WS in order to get the expected results. Optimizing the WS composition requires an efficient way to select the best Web services. Solving this problem can be a very complex task involving many criteria. In this work an approach is proposed to accomplish the WS selection from services previously registered and classified according to their quality of service (QoS) parameters. QoS parameters are characterized by an ontology and their values stored in a semantic database. The values of QoS corresponding to providers are collected automatically by an evaluation agent of QoS. In this way the service composition benefits from this proposal being easier and more efficient, taking into account only the best services and respecting the quality of service requirements established by the user. The results from the experiments performed with data involving real WS and artificially created data show that the proposed method is a feasible option to do a better selection of WS in the context of a WS composition.
Keywords: Web services, ontologies, quality of service, selection of Web services, composition of Web services
