Estimating the cardinality of RDF graph patterns
Proceedings of the 16th international conference on World Wide Web
Scalable semantic web data management using vertical partitioning
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
SPARQL basic graph pattern optimization using selectivity estimation
Proceedings of the 17th international conference on World Wide Web
The SPARQL Query Graph Model for Query Optimization
ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
Hexastore: sextuple indexing for semantic web data management
Proceedings of the VLDB Endowment
SP^2Bench: A SPARQL Performance Benchmark
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
The RDF-3X engine for scalable management of RDF data
The VLDB Journal — The International Journal on Very Large Data Bases
LUBM: A benchmark for OWL knowledge base systems
Web Semantics: Science, Services and Agents on the World Wide Web
Apples and oranges: a comparison of RDF benchmarks and real RDF datasets
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
DBpedia SPARQL benchmark: performance assessment with real queries on real data
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part I
Heuristics-based query optimisation for SPARQL
Proceedings of the 15th International Conference on Extending Database Technology
Data Management Issues on the Semantic Web
ICDE '12 Proceedings of the 2012 IEEE 28th International Conference on Data Engineering
Mapping XML to a Wide Sparse Table
ICDE '12 Proceedings of the 2012 IEEE 28th International Conference on Data Engineering
Next generation data analytics at IBM research
Proceedings of the VLDB Endowment
RDF analytics: lenses over semantic graphs
Proceedings of the 23rd international conference on World wide web
Editorial: Efficient incremental update and querying in AWETO RDF storage system
Data & Knowledge Engineering
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Efficient storage and querying of RDF data is of increasing importance, due to the increased popularity and widespread acceptance of RDF on the web and in the enterprise. In this paper, we describe a novel storage and query mechanism for RDF which works on top of existing relational representations. Reliance on relational representations of RDF means that one can take advantage of 35+ years of research on efficient storage and querying, industrial-strength transaction support, locking, security, etc. However, there are significant challenges in storing RDF in relational, which include data sparsity and schema variability. We describe novel mechanisms to shred RDF into relational, and novel query translation techniques to maximize the advantages of this shredded representation. We show that these mechanisms result in consistently good performance across multiple RDF benchmarks, even when compared with current state-of-the-art stores. This work provides the basis for RDF support in DB2 v.10.1.