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ALASKA for Ontology Based Data Access
[chapter]
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,
doi:10.1007/978-3-642-41242-4_16
fatcat:d6audaxs3farlnmg25lrj5nyte