INVESTIGADORES
MATEOS DIAZ Cristian Maximiliano
artículos
Título:
A Structural-semantic Web Service Selection Approach to Improve Retrievability of Web Services [JCR]
Autor/es:
MARTÍN GARRIGA; ALAN DE RENZIS; IGNACIO LIZARRALDE; ANDRÉS FLORES; CRISTIAN MATEOS; ALEJANDRA CECHICH; ALEJANDRO ZUNINO
Revista:
INFORMATION SYSTEMS FRONTIERS
Editorial:
SPRINGER
Referencias:
Lugar: Berlin; Año: 2016
ISSN:
1387-3326
Resumen:
Service-oriented Computing promotes building applications by consuming and reusing Web Services. However, the selection of adequate Web Services for a client application is still a major challenge. The effort of assessing and adapting candidate services could be overwhelming due to the ?impedance? of Web Service interfaces expected by consumers versus the actual interfaces of retrieved Web Services. In this work, we present a novel structural-semantic approach to help developers in the selection of services after they have been retrieved from a registry. The approach is based on a comprehensive structural scheme for service Interface Compatibility analysis, and WordNet as the semantic support to assess identifiers of operations and parameters. Also, we experimentally analyze, compare and contrast the performance of three service selection methods: a structural approach, a semantic approach, and the structural-semantic (hybrid) approach proposed in this work. The experimental analysis was performed with two data-sets of real-world Web Services and the EasySOC service registry. Results show that our hybrid service selection approach improved discovery and selection effectiveness in terms of retrievability and adaptability ? outperforming other approaches.