Optimizing queries using materialized views: a practical, scalable solution
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
MTCache: Transparent Mid-Tier Database Caching in SQL Server
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Optimized Index Structures for Querying RDF from the Web
LA-WEB '05 Proceedings of the Third Latin American Web Congress
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
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
Freshening up while staying fast: towards hybrid SPARQL queries
EKAW'12 Proceedings of the 18th international conference on Knowledge Engineering and Knowledge Management
Hybrid SPARQL queries: fresh vs. fast results
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part I
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As SPARQL endpoints are increasingly used to serve linked data, their ability to scale becomes crucial. Although much work has been done to improve query evaluation, little has been done to take advantage of caching. Effective solutions for caching query results can improve scalability by reducing latency, network IO, and CPU overhead. We show that simple augmentation of the database indexes found in common SPARQL implementations can directly lead to effective caching at the HTTP protocol level. Using tests from the Berlin SPARQL benchmark, we evaluate the potential of such caching to improve overall efficiency of SPARQL query evaluation.