About https://w3id.org/scholarlydata/inproceedings/iswc2010/paper/305

Subject: https://w3id.org/scholarlydata/inproceedings/iswc2010/paper/305Property: http://www.w3.org/1999/02/22-rdf-syntax-ns#typehttp://www.ontologydesignpatterns.org/ont/dul/DUL.owl#SocialObjecthttp://www.w3.org/2000/01/rdf-schema#Resourcehttp://www.w3.org/2002/07/owl#Thinghttp://www.ontologydesignpatterns.org/ont/dul/DUL.owl#InformationObjecthttp://www.ontologydesignpatterns.org/ont/dul/DUL.owl#Objecthttps://w3id.org/scholarlydata/ontology/conference-ontology.owl#InProceedingshttp://purl.org/spar/fabio/ProceedingsPaperProperty: http://www.w3.org/2000/01/rdf-schema#labelSAOR: Template Rule Optimisations for Distributed Reasoning over 1 Billion Linked Data TriplesProperty: http://www.w3.org/2002/07/owl#sameAshttp://data.semanticweb.org/conference/iswc/2010/paper/305Property: https://w3id.org/scholarlydata/ontology/indicators-ontology.owl#hasIndicatorhttps://w3id.org/scholarlydata/indicator/iswc2010-paper-305-citation-counthttps://w3id.org/scholarlydata/indicator/iswc2010-paper-305-plumx-captureshttps://w3id.org/scholarlydata/indicator/iswc2010-paper-305-plumx-readershttps://w3id.org/scholarlydata/indicator/iswc2010-paper-305-readers-citeulikehttps://w3id.org/scholarlydata/indicator/iswc2010-paper-305-readers-mendeleyProperty: http://swrc.ontoware.org/ontology#abstractIn this paper, we discuss optimisations of rule-based materialisation approaches for reasoning over large static RDF datasets. We generalise and reformalise what we call the "partial-indexing" approach to scalable rule-based materialisation: the approach is based on a separation of terminological data, which has been shown in previous and related works to enable highly scalable and distributable reasoning for specific rulesets; in so doing, we provide some completeness propositions with respect to semi-naive evaluation. We then show how related work on template rules - T-Box-specific dynamic rulesets created by binding the terminological patterns in the static ruleset - can be incorporated and optimised for the partial-indexing approach. We evaluate our methods using LUBM(10) for RDFS, pD* (OWL Horst) and OWL 2 RL, and thereafter demonstrate pragmatic distributed reasoning over 1.12 billion Linked Data statements for a subset of OWL 2 RL/RDF rules we argue to be suitable for Web reasoning.Property: http://purl.org/dc/elements/1.1/creatorhttps://w3id.org/scholarlydata/person/jeff-z-panhttps://w3id.org/scholarlydata/person/stefan-deckerhttps://w3id.org/scholarlydata/person/axel-pollereshttps://w3id.org/scholarlydata/person/aidan-hoganProperty: http://purl.org/dc/elements/1.1/subjectsemantic webProperty: http://purl.org/dc/elements/1.1/titleSAOR: Template Rule Optimisations for Distributed Reasoning over 1 Billion Linked Data TriplesProperty: http://purl.org/ontology/bibo/authorListhttps://w3id.org/scholarlydata/inproceedings/iswc2010/paper/305/authorListProperty: http://xmlns.com/foaf/0.1/makerhttps://w3id.org/scholarlydata/person/aidan-hoganhttps://w3id.org/scholarlydata/person/stefan-deckerhttps://w3id.org/scholarlydata/person/axel-pollereshttps://w3id.org/scholarlydata/person/jeff-z-panProperty: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#abstractIn this paper, we discuss optimisations of rule-based materialisation approaches for reasoning over large static RDF datasets. We generalise and reformalise what we call the "partial-indexing" approach to scalable rule-based materialisation: the approach is based on a separation of terminological data, which has been shown in previous and related works to enable highly scalable and distributable reasoning for specific rulesets; in so doing, we provide some completeness propositions with respect to semi-naive evaluation. We then show how related work on template rules - T-Box-specific dynamic rulesets created by binding the terminological patterns in the static ruleset - can be incorporated and optimised for the partial-indexing approach. We evaluate our methods using LUBM(10) for RDFS, pD* (OWL Horst) and OWL 2 RL, and thereafter demonstrate pragmatic distributed reasoning over 1.12 billion Linked Data statements for a subset of OWL 2 RL/RDF rules we argue to be suitable for Web reasoning.Property: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#doi10.1007/978-3-642-17746-0_22Property: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#hasAuthorListhttps://w3id.org/scholarlydata/inproceedings/iswc2010/paper/305/authorListProperty: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#isPartOfhttps://w3id.org/scholarlydata/conference/iswc/2010/proceedingsProperty: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#keywordsemantic webProperty: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#titleSAOR: Template Rule Optimisations for Distributed Reasoning over 1 Billion Linked Data TriplesProperty: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#isPublishedInhttp://lod.springer.com/data/procvolume/978-3-642-17745-3
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Subject: https://w3id.org/scholarlydata/indicator/iswc2010-paper-305-plumx-readersProperty: https://w3id.org/scholarlydata/ontology/indicators-ontology.owl#isIndicatorOfhttps://w3id.org/scholarlydata/inproceedings/iswc2010/paper/305
Subject: https://w3id.org/scholarlydata/indicator/iswc2010-paper-305-readers-citeulikeProperty: https://w3id.org/scholarlydata/ontology/indicators-ontology.owl#isIndicatorOfhttps://w3id.org/scholarlydata/inproceedings/iswc2010/paper/305
Subject: https://w3id.org/scholarlydata/indicator/iswc2010-paper-305-readers-mendeleyProperty: https://w3id.org/scholarlydata/ontology/indicators-ontology.owl#isIndicatorOfhttps://w3id.org/scholarlydata/inproceedings/iswc2010/paper/305
Subject: https://w3id.org/scholarlydata/person/axel-polleresProperty: http://xmlns.com/foaf/0.1/madehttps://w3id.org/scholarlydata/inproceedings/iswc2010/paper/305
Subject: https://w3id.org/scholarlydata/person/aidan-hoganProperty: http://xmlns.com/foaf/0.1/madehttps://w3id.org/scholarlydata/inproceedings/iswc2010/paper/305
Subject: https://w3id.org/scholarlydata/person/stefan-deckerProperty: http://xmlns.com/foaf/0.1/madehttps://w3id.org/scholarlydata/inproceedings/iswc2010/paper/305
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