A Structural-Semantic Web Service Selection Approach to Improve Retrievability of Web Services (Indexed SCI, JCR IF2015=1.450)

GARRIGA, M.; DE RENZIS, A.; LIZARRALDE, I.; FLORES, A.; MATEOS, C.; CECHICH, A.; ZUNINO, A.

INFORMATION SYSTEMS FRONTIERS

SPRINGER

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

1387-3326

Service-Oriented Computing promotes buildingapplications by consuming and reusing Web Services. However, the selection ofadequate Web Services given a client application is still a major challenge. The effortof assessing and adapting candidate services could be overwhelming due to the"impedance" of Web Service interfaces expected by clients versus the actual interfacesof retrieved Web Services. In this work, we present a novel structural-semanticapproach to help developers in the retrieval and selection of services from a serviceregistry. The approach is based on a comprehensive structural scheme for serviceInterface Compatibility analysis, and WordNet as the semantic support to assessidentifiers of operations and parameters. We also empirically analyze, compare andcontrast the performance of three service selection methods: a pure structuralapproach, a pure semantic approach, and the structural-semantic (hybrid) approachproposed in this work. The experimental analysis was performed with two data-sets ofreal-world Web Services and a service discovery support already published in theliterature. Results show that our hybrid service selection approach improvedeffectiveness in terms of retrievability of Web Services compared to the otherapproaches