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dc.contributor.authorKrennwallner, Thomasen
dc.contributor.authorMartello, Alessandraen
dc.contributor.authorPolleres, Axelen
dc.date.accessioned2009-12-17T16:23:20Zen
dc.date.available2009-12-17T16:23:20Zen
dc.date.issued2009en
dc.identifier.citationGiovambattista 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.urihttp://hdl.handle.net/10379/562en
dc.description.abstractWe 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.formatapplication/pdfen
dc.language.isoenen
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/
dc.subject.lcshOntologyen
dc.subject.lcshSemantic weben
dc.titleA rule system for querying persistent RDFS dataen
dc.typeDemonstration paperen
dc.local.publishedsourcehttp://dx.doi.org/10.1007/978-3-642-02121-3_70en
dc.local.publisherstatementThe original publication is available at www.springerlink.comen
dc.description.peer-reviewedpeer-revieweden
dc.contributor.funderinContexten
dc.contributor.funderScience Foundation Irelanden
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