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A Framework for Searching Semantic Data and Services with SPARQL

Mouhoub, Mohamed Lamine; Grigori, Daniela; Manouvrier, Maude (2014), A Framework for Searching Semantic Data and Services with SPARQL, in Franch, Xavier; Ghose, Aditya K.; Lewis, Grace A.; Bhiri, Sami, Service-Oriented Computing. 12th International Conference, ICSOC 2014, Paris, France, November 3-6, 2014. Proceedings, Springer : Berlin, p. 123-138. 10.1007/978-3-662-45391-9_9

Type
Communication / Conférence
Date
2014
Conference title
12th International Conference on Service-Oriented Computing, ICSOC 2014
Conference date
2014-11
Conference city
Paris
Conference country
France
Book title
Service-Oriented Computing. 12th International Conference, ICSOC 2014, Paris, France, November 3-6, 2014. Proceedings
Book author
Franch, Xavier; Ghose, Aditya K.; Lewis, Grace A.; Bhiri, Sami
Publisher
Springer
Published in
Berlin
ISBN
978-3-662-45390-2
Pages
123-138
Publication identifier
10.1007/978-3-662-45391-9_9
Metadata
Show full item record
Author(s)
Mouhoub, Mohamed Lamine
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Grigori, Daniela
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Manouvrier, Maude cc
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Abstract (EN)
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 However, there is still a lot of data that will not be published as a fully materialized knowledge base (dynamic data, data with limited acces patterns, etc).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.
Subjects / Keywords
linked data

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