|Title||QFed: Query Set for Federated SPARQL Query Benchmark|
|Publication Type||Conference Proceedings|
|Year of Publication||2014|
|Authors||Nur Rakhmawati, Muhammad Saleem, Sarasi Lalithsena, Stefan Decker|
|Conference Name||16th International Conference on Information Integration and Web-based Applications & Services|
|Conference Location||Hanoi, Vietnam|
|Keywords||Data Integration, Federation SPARQL Query, Linked Data|
The increasing attention for federated SPARQL query systems emphasize necessity for benchmarking systems to evaluate their performance. Most of the existing benchmark systems rely on a set of predefined static queries over a particular set of data sources. Such benchmark are useful for comparing general purpose SPARQL query federation systems such as FedX, SPLENDID etc. However, special purpose federation systems such as TopFed, SAFE, etc. cannot be tested with these static benchmarks since these systems only operate on a specific data sets and the corresponding queries. To facilitate the process of benchmarking for such special purpose SPARQL query federation systems, we propose QFed, a dynamic SPARQL query set generator that takes into account the characteristics of both dataset and queries along with the cost of data communication. Our experimental results show that QFed can successfully generate a large set of meaningful federated SPARQL queries to be considered for the performance evaluation of different federated SPARQL query engines.