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R-DEVICE: A Deductive RDF Rule Language

  • Conference paper
Rules and Rule Markup Languages for the Semantic Web (RuleML 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3323))

Abstract

In this paper we present R-DEVICE, a deductive rule language for reasoning about RDF metadata. R-DEVICE includes features such as normal and generalized path expressions, stratified negation, aggregate, grouping, and sorting, functions. The rule language supports a second-order syntax, where variables can range over classes and properties. Users can define views which are materialized and, optionally, incrementally maintained by translating deductive rules into CLIPS production rules. Users can choose between an OPS5/CLIPS-like or a RuleML-like syntax. R-DEVICE is based on a OO RDF data model, different than the established graph model, which maps resources to objects and encapsulates properties inside resource objects, as traditional OO attributes. In this way, less joins are required to access the properties of a single resource resulting in better inferencing/querying performance. The descriptive semantics of RDF may call for dynamic re-definitions of resource classes and objects, which are handled by R-DEVICE effectively.

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Author information

Authors and Affiliations

  1. Dept. of Informatics, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece

    Nick Bassiliades & Ioannis Vlahavas

Authors
  1. Nick Bassiliades
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  2. Ioannis Vlahavas
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Editor information

Editors and Affiliations

  1. Computer Science Department of University of Crete, Greece

    Grigoris Antoniou

  2. Institute for Information Technology – e-Business, National Research Council of Canada, E3B 9W4, Fredericton, NB, Canada

    Harold Boley

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Bassiliades, N., Vlahavas, I. (2004). R-DEVICE: A Deductive RDF Rule Language. In: Antoniou, G., Boley, H. (eds) Rules and Rule Markup Languages for the Semantic Web. RuleML 2004. Lecture Notes in Computer Science, vol 3323. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30504-0_6

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  • DOI: https://doi.org/10.1007/978-3-540-30504-0_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23842-3

  • Online ISBN: 978-3-540-30504-0

  • eBook Packages: Springer Book Archive

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