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User-Configurable Semantic Data Stream Reasoning Using SPARQL Update

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Rinne, Mikko
dc.contributor.author Nuutila, Esko
dc.date.accessioned 2017-05-31T06:04:39Z
dc.date.available 2017-05-31T06:04:39Z
dc.date.issued 2017-09-01
dc.identifier.citation Rinne , M & Nuutila , E 2017 , ' User-Configurable Semantic Data Stream Reasoning Using SPARQL Update ' , JOURNAL ON DATA SEMANTICS , vol. 6 , no. 3 , pp. 125-138 . https://doi.org/10.1007/s13740-017-0076-9 en
dc.identifier.issn 1861-2032
dc.identifier.issn 1861-2040
dc.identifier.other PURE UUID: e6115a02-1c86-428e-9a13-2821c27ff7db
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/e6115a02-1c86-428e-9a13-2821c27ff7db
dc.identifier.other PURE LINK: http://rdcu.be/ppBJ
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/13307822/User_Configurable_Reasoning_Final_Manuscript_annotated_author_copy_.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/26547
dc.description.abstract Stream reasoning is one of the building blocks giving semantic web an advantage in the race for the real-time web. This paper demonstrates implementation of materialisation-based reasoning using an event processor supporting networks of specification-compliant SPARQL Update rules. Collections of rules coded in SPARQL leave the rule implementation exposed for selection and modification by the platform user using the same query language for both the queries and entailment rules. Observations on the differences of SPARQL and rule semantics are made. The entailment-category tests of the SPARQL 1.1 conformance test set are thoroughly reviewed. New rules are constructed to improve platform pass rate, and the test results are measured. An event-based memory handling solution to the accumulation of data in stream processing scenarios through separation of static data (e.g. the ontology) from dynamic event data is presented and tested. This implementation extends the reasoning support available in an RDF stream processor from RDF(S) to ρdf , D*, P-entailment and OWL 2 RL. The performance of the Instans platform is measured using a well-known benchmark requiring reasoning, comparing complete sets of entailment rules against the necessary subset to complete each test. Performance is also compared to non-streaming SPARQL query processors with reasoning support. en
dc.format.extent 14
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries JOURNAL ON DATA SEMANTICS en
dc.rights openAccess en
dc.title User-Configurable Semantic Data Stream Reasoning Using SPARQL Update en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Department of Computer Science
dc.subject.keyword Entailment
dc.subject.keyword Rule networks
dc.subject.keyword SPARQL
dc.subject.keyword Stream reasoning
dc.identifier.urn URN:NBN:fi:aalto-201705315162
dc.identifier.doi 10.1007/s13740-017-0076-9
dc.date.embargo info:eu-repo/date/embargoEnd/2018-02-20

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