Abstract
The Semantic Web databases are growing bigger and much effort is given to introduce new approaches to querying them effectively. Most of the current approaches are based on query optimization or their parallel or distributed run.
However, they do not fully benefit from potential of the modern, multicore computers in parallel processing. Although the parallel relational database systems have been well examined, parallel query computing in Semantic Web databases has not been extensively studied.
This paper follows our previous research in parallelization of evaluation of SPARQL queries by outlining the possibility of further parallelization of query operators themselves. As a result, we developed a parallel SPARQL query execution engine built over Bobox framework and we measured the gain of the parallelization.