Title: Using adaptable SPARQL to manipulate and to retrieve domain ontologies: application to social intelligence domain

Authors: Valérie Monfort; Wassim Jaziri

Addresses: Université de Paris, 1 Panthéon Sorbonne 90 rue de Tolbiac 75634, Paris, France; SOIE, ISG Tunis, Tunisia ' College of Computer Science and Engineering, Taibah University, Kingdom of Saudi Arabia

Abstract: SPARQL (SPARQL Protocol and RDF Query Language) is a protocol and a request language which supports semantics of the RDF (Resource Description Framework) data. Based on previous research works, we noticed different lacks such as a poor flexibility when faced with functional and technical changes. According to first results, we aim to propose, depending on changing context including profile and location, suitable ontologies which can be accessed 'upon request'. However, SPARQL queries are not able to take into account the users' requirements update and their contexts changes as well. Faced to this limitation, we propose to use aspect paradigm to extend SPARQL and to promote adaptable SPARQL queries. Consequently, the ontologies of the project are invoked by adaptable SPARQL queries. We propose a genuine implementation in this paper.

Keywords: SOA; service oriented architecture; ontology; aspect; adaptability; SPARQL queries; social web intelligence; domain ontologies; social intelligence; semantics; RDF data; web services.

DOI: 10.1504/IJMSO.2013.057762

International Journal of Metadata, Semantics and Ontologies, 2013 Vol.8 No.3, pp.181 - 190

Received: 29 Jan 2013
Accepted: 26 Jun 2013

Published online: 14 Oct 2014 *

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