Federated database systems for managing distributed, heterogeneous, and autonomous databases
ACM Computing Surveys (CSUR) - Special issue on heterogeneous databases
Approximating Terminological Queries
FQAS '02 Proceedings of the 5th International Conference on Flexible Query Answering Systems
Index structures and algorithms for querying distributed RDF repositories
Proceedings of the 13th international conference on World Wide Web
Implementation and Evaluation of a Distributed RDF Storage and Retrieval System
WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
Imprecise RDQL: towards generic retrieval in ontologies using similarity joins
Proceedings of the 2006 ACM symposium on Applied computing
Towards distributed processing of RDF path queries
International Journal of Web Engineering and Technology
Querying distributed RDF data sources with SPARQL
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
A relaxed approach to RDF querying
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
Graph pattern matching revised for social network analysis
Proceedings of the 15th International Conference on Database Theory
Performance guarantees for distributed reachability queries
Proceedings of the VLDB Endowment
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A framework for the partial evaluation of SPARQL queries on multiple RDF data sources, both at a local and global level, is proposed. According to the proposed approach, global evaluation of queries is accomplished by first performing local evaluation on each data source, then merging the obtained results. When merging the results, term equivalence across different sources is evaluated by looking at the context of each term. Moreover, the framework allows scoring partial answers by evaluating how much a partial answer is able to capture each concept expressed in the query. Finally, a distributed index structure is proposed that supports early pruning of useless intermediate results.