Logical foundations of artificial intelligence
Logical foundations of artificial intelligence
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Web Services: Been There, Done That?
IEEE Intelligent Systems
A Survey of Context-Aware Mobile Computing Research
A Survey of Context-Aware Mobile Computing Research
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A MOF metamodel for the development of context-aware mobile applications
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A Reasoning Framework for Rule-Based WSML
ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
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ICSOC-ServiceWave '09 Proceedings of the 7th International Joint Conference on Service-Oriented Computing
Activity-driven synthesis of state machines
FASE'07 Proceedings of the 10th international conference on Fundamental approaches to software engineering
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IEEE Internet Computing
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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.