TY - GEN
T1 - QFed
T2 - 16th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2014
AU - Rakhmawati, Nur Aini
AU - Saleem, Muhammad
AU - Lalithsena, Sarasi
AU - Decker, Stefan
N1 - Publisher Copyright:
Copyright 2014 ACM.
PY - 2014/12/4
Y1 - 2014/12/4
N2 - Most of the existing benchmark systems for federated SPARQL query 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.
AB - Most of the existing benchmark systems for federated SPARQL query 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.
KW - Data integration
KW - Federation SPARQL query
KW - Linked data
UR - http://www.scopus.com/inward/record.url?scp=84985964636&partnerID=8YFLogxK
U2 - 10.1145/2684200.2684321
DO - 10.1145/2684200.2684321
M3 - Conference contribution
AN - SCOPUS:84985964636
T3 - ACM International Conference Proceeding Series
SP - 207
EP - 211
BT - 16th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2014 - Proceedings
A2 - Indrawan-Santiago, Maria
A2 - Khalil, Ismail
A2 - Nguyen, Hong-Quang
A2 - Tjoa, A Min
A2 - Steinbauer, Matthias
A2 - Anderst-Kotsis, Gabriele
PB - Association for Computing Machinery
Y2 - 4 December 2014 through 6 December 2014
ER -