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ALASKA for Ontology Based Data Access

Jean-François Baget 1 Madalina Croitoru 1 Bruno Paiva Lima da Silva 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 : Choosing the tools for the management of large and semi-structured knowledge bases has always been considered as a quite crafty task. This is due to the emergence of different solutions in a short period of time, and also to the lack of benchmarking available solutions. In this paper, we use ALASKA, a logical framework, that enables the comparison of different storage solutions at the same logical level. ALASKA translates different data representation languages such as relational databases, graph structures or RDF triples into logics. We use the platform to load semi-structured knowledge bases, store, and perform conjunctive queries over relational and non-relational storage systems.
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Jean-François Baget, Madalina Croitoru, Bruno Paiva Lima da Silva. ALASKA for Ontology Based Data Access. ESWC: European Semantic Web Conference, May 2013, Montpellier, France. pp.157-161, ⟨10.1007/978-3-642-41242-4_16⟩. ⟨lirmm-00936487⟩



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