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A Generic Platform for Ontological Query Answering

Bruno Paiva Lima da Silva 1 Jean-François Baget 1 Madalina Croitoru 1
1 GRAPHIK - Graphs for Inferences on Knowledge
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : The paper presents ALASKA, a multi-layered platform enabling to perform ontological conjunctive query answering (OCQA) over heterogeneously-stored knowledge bases in a generic, logic-based manner. While this problem knows today a renewed interest in knowledge-based systems with the semantic equivalence of different languages widely studied, from a practical view point this equivalence has been not made explicit. Moreover, the emergence of graph database provides competitive storage methods not yet addressed by existing literature.
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Submitted on : Tuesday, December 11, 2012 - 11:15:44 AM
Last modification on : Monday, October 11, 2021 - 1:24:04 PM
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Bruno Paiva Lima da Silva, Jean-François Baget, Madalina Croitoru. A Generic Platform for Ontological Query Answering. AI: Artificial Intelligence, Dec 2012, Cambridge, United Kingdom. pp.151-164, ⟨10.1007/978-1-4471-4739-8_11⟩. ⟨lirmm-00763634⟩



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