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Conference papers

A Preference-Aware Query Model for Data Web Services

Soumaya Amdouni 1 Djamal Benslimane 1 Mahmoud Barhamgi 1 Allel Hadjali Rim Faiz Parisa Ghodous 1
1 SOC - Service Oriented Computing
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : Data Mashup is a special class of applications mashup that combines data elements from multiple data sources (that are often ex- ported as data web services) to respond to transient business needs on the y. In this paper, we propose a semantic model for data services along with a declarative approach for creating data mashups without any programming involved. Given a query formulated over domain on- tologies, and a set of preferences modeled using the fuzzy set theory, our approach selects the relevant data services based on their semantic modeling using an RDF query rewriting algorithm. Selected services are then orchestrated using a ranking-aware algebra to rank their returned results based on users preferences at the data mashup execution time.
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Submitted on : Wednesday, August 10, 2016 - 4:18:07 PM
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Soumaya Amdouni, Djamal Benslimane, Mahmoud Barhamgi, Allel Hadjali, Rim Faiz, et al.. A Preference-Aware Query Model for Data Web Services. 31st International Conference on Conceptual Modeling (ER 2012), Oct 2012, Florence, Italy. pp.409-422, ⟨10.1007/978-3-642-34002-4_32⟩. ⟨hal-01352990⟩



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