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CASAS: A tool for composing automatically and semantically astrophysical services

Abstract : Multiple astronomical datasets are available through internet and the astrophysical Distributed Computing Infrastructure (DCI) called Virtual Observatory (VO). Some scientific workflow technologies exist for retrieving and combining data from those sources. However selection of relevant services, automation of the workflows composition and the lack of user-friendly platforms remain a concern. This paper presents CASAS, a tool for semantic web services composition in astrophysics. This tool proposes automatic composition of astrophysical web services and brings a semantics-based, automatic composition of workflows. It widens the services choice and eases the use of heterogeneous services. Semantic web services composition relies on ontologies for elaborating the services composition; this work is based on Astrophysical Services ONtology (ASON). ASON had its structure mostly inherited from the VO services capacities. Nevertheless, our approach is not limited to the VO and brings VO plus non-VO services together without the need for premade recipes. CASAS is available for use through a simple web interface.
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https://hal.archives-ouvertes.fr/hal-01758601
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Submitted on : Wednesday, April 4, 2018 - 3:56:36 PM
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Thierry Louge, Mohamed Hedi Karray, Bernard Archimède, Jürgen Knödlseder. CASAS: A tool for composing automatically and semantically astrophysical services. Astronomy and Computing, Elsevier 2017, vol. 20, pp. 34-43. ⟨10.1016/j.ascom.2017.05.002⟩. ⟨hal-01758601⟩

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