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Optimizing query answering over OWL ontologies

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dc.contributor.author Kollia, I en
dc.date.accessioned 2014-03-01T02:53:25Z
dc.date.available 2014-03-01T02:53:25Z
dc.date.issued 2011 en
dc.identifier.issn 03029743 en
dc.identifier.uri http://hdl.handle.net/123456789/36300
dc.subject.other Caching technique en
dc.subject.other Database technique en
dc.subject.other Knowledge basis en
dc.subject.other Ontology-based en
dc.subject.other OWL ontologies en
dc.subject.other Progressive queries en
dc.subject.other Query answering en
dc.subject.other Query answering systems en
dc.subject.other Reasoning tasks en
dc.subject.other Worst-case complexity en
dc.subject.other Optimization en
dc.subject.other Semantic Web en
dc.subject.other Semantics en
dc.subject.other User interfaces en
dc.subject.other World Wide Web en
dc.subject.other Ontology en
dc.title Optimizing query answering over OWL ontologies en
heal.type conferenceItem en
heal.identifier.primary 10.1007/978-3-642-21064-8_45 en
heal.identifier.secondary http://dx.doi.org/10.1007/978-3-642-21064-8_45 en
heal.publicationDate 2011 en
heal.abstract Query answering is a key reasoning task for many ontology based applications in the Semantic Web. Unfortunately for OWL, the worst case complexity of query answering is very high. That is why, when the schema of an ontology is written in a highly expressive language like OWL 2 DL, currently used query answering systems do not find all answers to queries posed over the ontology, i.e., they are incomplete. In this paper optimizations are discussed that may make query answering over expressive languages feasible in practice. These optimizations mostly focus on the use of traditional database techniques that will be adapted to be applicable to knowledge bases. Moreover, caching techniques and a form of progressive query answering are also explored. © 2011 Springer-Verlag Berlin Heidelberg. en
heal.journalName Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) en
dc.identifier.doi 10.1007/978-3-642-21064-8_45 en
dc.identifier.volume 6643 LNCS en
dc.identifier.issue PART 2 en
dc.identifier.spage 513 en
dc.identifier.epage 517 en


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