SIGMOD '89 Proceedings of the 1989 ACM SIGMOD international conference on Management of data
Join processing in relational databases
ACM Computing Surveys (CSUR)
Parallel database systems: the future of high performance database systems
Communications of the ACM
Query evaluation techniques for large databases
ACM Computing Surveys (CSUR)
An effective algorithm for parallelizing sort merge joins in the presence of data skew
DPDS '90 Proceedings of the second international symposium on Databases in parallel and distributed systems
Monitors: an operating system structuring concept
Communications of the ACM
Accurate estimation of the number of tuples satisfying a condition
SIGMOD '84 Proceedings of the 1984 ACM SIGMOD international conference on Management of data
Prototyping Bubba, A Highly Parallel Database System
IEEE Transactions on Knowledge and Data Engineering
GAMMA - A High Performance Dataflow Database Machine
VLDB '86 Proceedings of the 12th International Conference on Very Large Data Bases
Tradeoffs in Processing Complex Join Queries via Hashing in Multiprocessor Database Machines
VLDB '90 Proceedings of the 16th International Conference on Very Large Data Bases
RDF-3X: a RISC-style engine for RDF
Proceedings of the VLDB Endowment
Hexastore: sextuple indexing for semantic web data management
Proceedings of the VLDB Endowment
Validity of the single processor approach to achieving large scale computing capabilities
AFIPS '67 (Spring) Proceedings of the April 18-20, 1967, spring joint computer conference
Efficient processing of SPARQL joins in memory by dynamically restricting triple patterns
Proceedings of the 2009 ACM symposium on Applied Computing
Scalable join processing on very large RDF graphs
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
LuposDate: a semantic web database system
Proceedings of the 18th ACM conference on Information and knowledge management
External sorting for index construction of large semantic web databases
Proceedings of the 2010 ACM Symposium on Applied Computing
YARS2: a federated repository for querying graph structured data from the web
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Efficiently joining group patterns in SPARQL queries
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part I
Accelerating large semantic web databases by parallel join computations of SPARQL queries
ACM SIGAPP Applied Computing Review
Scalable RDF graph querying using cloud computing
Journal of Web Engineering
Hi-index | 0.00 |
While a number of optimizing techniques have been developed to efficiently process increasing large Semantic Web databases, these optimization approaches have not fully leveraged the powerful computation capability of modern computers. Today's multi-core computers promise an enormous performance boost by providing a parallel computing platform. Although the parallel relational database systems have been well built, parallel query computing in Semantic Web databases have not extensively been studied. In this work, we develop the parallel algorithms for join computations of SPARQL queries. Our performance study shows that the parallel computation of SPARQL queries significantly speeds up querying large Semantic Web databases.