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

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.

Domaines: Logique en informatique [cs.LO]

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⟩