This paper describes a keyword-based query processing tool, called QUIOW, deployed in two distinct environments: RDF datasets with schemas and relational databases. The tool first translates a keyword-based query into an abstract query, and then compiles the abstract query into a concrete (SPARQL or SQL) query such that each result of concrete query is an answer for the keyword-based query. The tool explores the schema to avoid user intervention during the translation process. The paper includes extensive experiments to compare keyword-based query processing in the two environments, using a full version of IMDb – The Internet Movies Database and the Mondial database.
CITATION STYLE
Izquierdo, Y. T., García, G. M., Menendez, E. S., Casanova, M. A., Dartayre, F., & Levy, C. H. (2018). QUIOW: A keyword-based query processing tool for RDF datasets and relational databases. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11030 LNCS, pp. 259–269). Springer Verlag. https://doi.org/10.1007/978-3-319-98812-2_22
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