Ilhem Feddaoui¹, Hela Limam², Hashim Jarrar³ and Jalel Akaichi³, ¹ECE Paris_Lyon, France, ²Université de Tunis El Manar, Tunisia, ³Bisha University, Saudi Arabia

In the contemporary online environment, the increasing prevalence of distributed and accessible web services presents a challenge, as users struggle to locate services that are suitable for their specific needs. In this context, it is essential to categorize web services that offer the same functionality to facilitate the selection of appropriate options. The imprecision of current web service selection methods can be attributed to the disregard for users' feedback and past selections. Furthermore, users encounter difficulties in selecting the most suitable web services when using conventional keyword-based search strategies. Our research introduces a novel hybrid approach that combines syntactic and semantic methods for selecting appropriate web services based on collaborative filtering, ontology-based querying, and QoS. Experiments demonstrate the effectiveness of our proposed selection technique in accurately recommending the required web services.

Ontology, Query, QoS, Collaborative Filtering, Web service.