ASON: An OWL-S based ontology for astrophysical services

Abstract

Modern astrophysics heavily relies on Web services to expose most of the data coming from many different instruments and researches worldwide. The virtual observatory (VO) has been designed to allow scientists to locate, retrieve and analyze useful information among those heterogeneous data. The use of ontologies has been studied in the VO context for astrophysical concerns like object types or astrophysical services subjects. On the operative point of view, ontological description of astrophysical services for interoperability and querying still has to be considered. In this paper, we design a global ontology (Astrophysical Services ONtology, ASON) based on web Ontology Language for Services (OWL-S) to enhance existing astrophysical services description. By expressing together VO specific and non-VO specific services design, it will improve the automation of services queries and allow automatic composition of heterogeneous astrophysical services.

Aerodynamic Evaluation

“…SWO (SoftWare Ontology) [26] describes software libraries in their non-grounding aspects (e.g. algorithms provided, languages…) and GEOS, coming from ASON [27] is used for grounding elements (e.g. Inputs and outputs combinations, URLS, parameters…).…”

Semantic Web Services Composition in the astrophysics domain: Issues and solutions

“…Thus, SSA is both a protocol and a data model. Our SWS composition for astrophysics relies on ASON ontology, detailed in a previous work [24]. It offers universal services description specification, in the sense that heterogeneous services such as Web and non-Web based services can be described, despite their technical differences (e.g., RESTful vs. WSDL).…”

“…If no information is available for a service regarding one of its outputs, a default neutral value is used during the composition for this service rating. If a quality assessment is found for a service concerning one of the outputs that may be useful for the composition, then this value is used for service selection inside the composition (this parameter is tested in lines [23][24][25][26][27][28][29][30][31].…”

CASAS: A tool for composing automatically and semantically astrophysical services

“…2 exposes the ASON generic architecture, while Fig. 3 shows a concrete example of its use Louge et al (2017). CASAS resolves all the constraints in one single run, so that every service available for any output requested is elected in a single call to the composition algorithm.…”

“…The generated workflows come from automatic reasoning using semantic representation of knowledge based on ASON (Louge et al, 2017). Fig.…”