A Framework for Searching Semantic Data and Services with SPARQL

Mohamed Lamine Mouhoub (1) , Daniela Grigori (1) , Maude Manouvrier (1)

1 LAMSADE - Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision

The last years witnessed the success of Linked Open Data (LOD) project and the growing amount of semantic data sources available on the web. However, there is still a lot of data that will not be published as a fully materialized knowledge base (dynamic data, data with limited acces patterns, etc). Such data is in general available through web api or web services. In this paper, we introduce a SPARQL-driven approach for searching linked data and relevant services. In our framework, a user data query is analyzed and transformed into service requests. The resulting service requests, formatted for different semantic web services languages, are addressed to services repositories. Our system also features automatic web service composition to help finding more answers for user queries. The intended applications for such a framework vary from mashups development to aggregated search.

Mots clés: linked data

Domaines: Informatique [cs]

Mohamed Lamine Mouhoub, Daniela Grigori, Maude Manouvrier. A Framework for Searching Semantic Data and Services with SPARQL. 12th International Conference on Service-Oriented Computing, ICSOC 2014, Nov 2014, Paris, France. pp.123-138, ⟨10.1007/978-3-662-45391-9_9⟩. ⟨hal-01366682⟩