Show simple item record

dc.contributor.authorKrennwallner, Thomasen
dc.contributor.authorMartello, Alessandraen
dc.contributor.authorPolleres, Axelen
dc.identifier.citationGiovambattista Ianni, Thomas Krennwallner, Alessandra Martello, Axel Polleres "Dynamic Querying of Mass-Storage RDF Data with Rule-Based Entailment Regimes", Proceedings of the 8th International Semantic Web Conference (ISWC 2009), Springer, 2009.en
dc.description.abstractRDF Schema (RDFS) as a lightweight ontology language is gaining popularity and, consequently, tools for scalable RDFS inference and querying are needed. SPARQL has become recently aW3C standard for querying RDF data, but it mostly provides means for querying simple RDF graphs only, whereas querying with respect to RDFS or other entailment regimes is left outside the current specification. In this paper, we show that SPARQL faces certain unwanted ramifications when querying ontologies in conjunction with RDF datasets that comprise multiple named graphs, and we provide an extension for SPARQL that remedies these effects. Moreover, since RDFS inference has a close relationship with logic rules, we generalize our approach to select a custom rule set for specifying inferences to be taken into account in a SPARQL query. We show that our extensions are technically feasible by providing benchmark results for RDFS querying in our prototype system GiaBATA, which uses Datalog coupled with a persistent Relational Database as a back-end for implementing SPARQL with dynamic rule-based inference. By employing different optimization techniques like magic set rewriting our system remains competitive with state-of-the-art RDFS querying systems.en
dc.subject.lcshQuerying (Computer science)en
dc.titleDynamic Querying of Mass-Storage RDF Data with Rule-Based Entailment Regimesen
dc.typeConference paperen
dc.local.publisherstatementThe original publication is available at www.springerlink.comen
dc.contributor.funderScience Foundation Irelanden

Files in this item

Attribution-NonCommercial-NoDerivs 3.0 Ireland
This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. Please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.

The following license files are associated with this item:

This item appears in the following Collection(s)

Show simple item record