Paper 17 (In-Use track)

Comparing Keyword-based Query Processing over RDF Datasets and Relational Databases

Author(s): Yenier T. Izquierdo, Grettel M. Garcia, Elisa S. Menendez, Marco A. Casanova, Frederic Dartayre, Carlos H. Levy

Abstract: This paper compares keyword-based query processing in two environments: RDF datasets with schemas and relational databases. The comparison is based on a tool that first translates a keyword-based query into an abstract query, and then compiles the abstract query into a SPARQL or a SQL query such that each result of the SPARQL or SQL 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.

Keywords: Keyword search; SQL; SPARQL; Relational Model; RDF

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