ALASKA for Ontology Based Data Access [chapter]

Jean-François Baget, Madalina Croitoru, Bruno Paiva Lima da Silva
2013 Lecture Notes in Computer Science  
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,
more » ... h 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.
doi:10.1007/978-3-642-41242-4_16 fatcat:d6audaxs3farlnmg25lrj5nyte