Semantic web services composition in the astrophysics domain: issues and solutions

Thierry Louge (1) , Mohamed Hedi Karray (2) , Bernard Archimède (2) , Zakaria Maamar (3) , Michael Mrissa (4)

1 IRAP - Institut de recherche en astrophysique et planétologie
2 LGP - Laboratoire Génie de Production
3 CITZU - CIT, Zayed University, Dubai
4 UPPA - Université de Pau et des Pays de l'Adour

Semantic Web services (SWS) have been hailed for their role in realizing the potential of composing services in the context of service-oriented computing. However, many application domains, such as astrophysics, require a major rethinking of how service composition should take place despite his potential. In this paper, we describe an approach for automatic, user-friendly SWS composition for the astrophysics domain that features certain particularities like correlated or optional inputs, aggregates, and inclusion of non-Web services. The approach selects the best SWSs using non-functional requirements along with users’ previous experience feedback and is demonstrated using some real astrophysics services.

Mots clés: Astrophysics; Semantic web; User feedback; Web service composition

Domaines: Web; Astrophysique [astro-ph]; Autre

Thierry Louge, Mohamed Hedi Karray, Bernard Archimède, Zakaria Maamar, Michael Mrissa. Semantic web services composition in the astrophysics domain: issues and solutions. Future Generation Computer Systems, 2019, 90, pp.185-197. ⟨10.1016/j.future.2018.07.063⟩. ⟨hal-02356312⟩