Semantic Data Caching and Replacement
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
An efficient SQL-based RDF querying scheme
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Scalable semantic web data management using vertical partitioning
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
RDF-3X: a RISC-style engine for RDF
Proceedings of the VLDB Endowment
Improving the performance of semantic web applications with SPARQL query caching
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part II
To cache or not to cache: the effects of warming cache in complex SPARQL queries
OTM'11 Proceedings of the 2011th Confederated international conference on On the move to meaningful internet systems - Volume Part II
Queen-bee: query interaction-aware for buffer allocation and scheduling problem
DaWaK'12 Proceedings of the 14th international conference on Data Warehousing and Knowledge Discovery
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The complexity and growing scale of RDF data has made data management back end the performance bottleneck of Semantic Web applications. Caching is one of the ways that could solve this problem. However, few existing research projects focus on caching in RDF data processing. We present an adaptive caching scheme that caches intermediate result of basic graph pattern SPARQL queries. Benchmark test results are provided to illustrate the effectiveness of our caching scheme.