Assisted Composition of Linked Data Queries
Imen Sarray, Aziz Salah
Abstract
Imen Sarray, Aziz Salah
Abstract
Much research has been undertaken to facilitate the construction of SPARQL queries, while other research has attempted to facilitate the construction of the RDF dataset schema to understand the structure of RDF datasets. However, there is no effective approach that brings together these two complementary objectives. This work is an effort in this direction. We propose an approach that allows assisted SPARQL query composition. Linked data interrogation is not only difficult because it requires mastering a query language such as SPARQL, but mainly because RDF datasets do not have an explicit schema as what you can expect in relational databases. This paper provides two complimentary solutions: synthesis of an interrogation-oriented schema and a form-based RDF Query construction tool, name EXPLO-RDF.
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Much research has been undertaken to facilitate the construction of SPARQL queries, while other research has attempted to facilitate the construction of the RDF dataset schema to understand the structure of RDF datasets. However, there is no effective approach that brings together these two complementary objectives. This work is an effort in this direction. We propose an approach that allows assisted SPARQL query composition. Linked data interrogation is not only difficult because it requires mastering a query language such as SPARQL, but mainly because RDF datasets do not have an explicit schema as what you can expect in relational databases. This paper provides two complimentary solutions: synthesis of an interrogation-oriented schema and a form-based RDF Query construction tool, name EXPLO-RDF.
Key concepts: SPARQL, RDF, RDF Schema, Computer science, Interrogation, RDF query language, Schema (genetic algorithms), Linked data