A Structural-Semantic Web Service Selection Approach to Improve Retrievability of Web Services (Indexed SCI, IF JCR2015: 1.450)

MARTÍN GARRIGA; ALAN DE RENZIS; IGNACIO LIZARRALDE; ANDRES FLORES; CRISTIAN MAXIMILIANO MATEOS DIAZ; ALEJANDRA CECHICH; ALEJANDRO ZUNINO

INFORMATION SYSTEMS FRONTIERS

SPRINGER

Lugar: Berlin; Año: 2018 vol. 20 p. 1319 - 1344

1387-3326

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 ex-pected 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 retrieval and selection of services from a service registry. The approach is based on a comprehensive structural scheme for service Interface Compatibility analysis, and WordNet as the se-mantic support to assess identifiers of operations and parameters. Also, we empirically analyze, compare and contrast the performance of three service selection methods: a pure structural approach, a pure 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 a service discovery support already published in the literature. Results show that our hybrid service selection approach improved effectiveness in terms of retrievability and adaptability of Web Services while outperformed the other approaches.