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A rule system for querying persistent RDFS data

ARAN - Access to Research at NUI Galway

Show simple item record Krennwallner, Thomas en Martello, Alessandra en Polleres, Axel en 2009-12-17T16:23:20Z en 2009-12-17T16:23:20Z en 2009 en
dc.identifier.citation Giovambattista Ianni, Thomas Krennwallner, Alessandra Martello, Axel Polleres "A rule system for querying persistent RDFS data", Proceedings of the 6th European Semantic Web Conference (ESWC 2009), 2009. en
dc.identifier.uri en
dc.description.abstract We present GiaBATA, a system for storing, aggregating, and querying Semantic Web data, based on declarative logic programming technology, namely on the dlvhex system, which allows us to implement a fully SPARQL compliant semantics, and on DLVDB, which extends the DLV system with persistent storage capabilities. Compared with off-the-shelf RDF stores and SPARQL engines, we offer more flexible support for rule-based RDFS and other higher entailment regimes by enabling custom reasoning via rules, and the possibility to choose the reference ontology on a per query basis. Due to the declarative approach, GiaBATA gains the possibility to apply well-known logic-level optimization features of logic programming (LP) and deductive database systems. Moreover, our architecture allows for extensions of SPARQL by non-standard features such as aggregates, custom built-ins, or arbitrary rulesets. With the resulting system we provide a flexible toolbox that embeds Semantic Web data and ontologies in a fully declarative LP environment. en
dc.format application/pdf en
dc.language.iso en en
dc.subject.lcsh Ontology en
dc.subject.lcsh Semantic web en
dc.title A rule system for querying persistent RDFS data en
dc.type Demonstration paper en
dc.local.publishedsource en
dc.local.publisherstatement The original publication is available at en
dc.description.peer-reviewed peer-reviewed en
dc.contributor.funder inContext en
dc.contributor.funder Science Foundation Ireland en

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