University of Paris-Sud 11
Unstructured data (e.g., digital still images) is generated, distributed and stored worldwide at an ever increasing rate. In order to provide efficient annotation, storage and search capabilities among this data and XML based description formats, data stores and query languages have been introduced. As XML lacks on expressing semantic meanings and coherences, it has been enhanced by the Resource Description Format (RDF) and the associated query language SPARQL. In this paper, the paper evaluates currently existing RDF databases that support the SPARQL query language by the following means: general features such as details about software producer and license information, architectural comparison and efficiency comparison of the interpretation of SPARQL queries on a scalable test data set.