An empirical performance evaluation of a semantic-based data retrieving process from RDBs & RDF data storages
Journal Title: MASKANA - Year 2016, Vol 7, Issue 3
Abstract
SQL and, more recently, SPARQL are standard languages of the software industry for retrieving data. Other studies showed that retrieving data by using a SPARQL query is much slower than the semantically equivalent SQL query. Nevertheless, some recent proposals optimized database servers for SPARQL queries. This paper presents the results of a comparative analysis between the capability of SQL and SPARQL with respect to the retrieval of data from a relational database and RDF-triples. A free and open source-based scenario was constructed by using PostgreSQL and Virtuoso for storing data, and RETRI, a data retrieving software built in JavaScript which displays data views in a specific XML format. Open data from the British National Library Bibliographic Data Set were used in the experiment; results were analyzed from a performance perspective.
Authors and Affiliations
Leandro Tabares Martín, Félix Oscar Fernández Peña, Amed Abel Leiva Mederos, Jyrki Nummenmaa
Keywords
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