LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : This paper provides a decentralized data model and associated algorithms for peer data management systems (PDMS) based on the DL-liteR description logic. Our approach relies on reducing query reformulation and consistency checking for DL-liteR into reasoning in propositional logic. This enables a straightforward deployment of DL-liteR PDMSs on top of SomeWhere, a scalable propositional peer-to-peer inference system. We also show how to use the state-of-the-art Minicon algorithm for rewriting queries using views in DL-liteR in the centralized and decentralized cases.
Type de document :
Communication dans un congrès
International Joint Conference on Artificial Intelligence, Jul 2009, Passadena, United States. 2009
https://hal.inria.fr/inria-00429710
Contributeur : François Goasdoué
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Soumis le : mercredi 4 novembre 2009 - 09:49:43
Dernière modification le : jeudi 11 octobre 2018 - 08:48:03
Nada Abdallah, François Goasdoué, Marie-Christine Rousset. DL-liteR in the Light of Propositional Logic for Decentralized Data Management. International Joint Conference on Artificial Intelligence, Jul 2009, Passadena, United States. 2009. 〈inria-00429710〉
