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RDF packages: a scheme for efficient reasoning and querying over large-scale RDF data

Published: 08 November 2010 Publication History
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  • Abstract

    When querying RDF and RDFS data, for improving the performance, it is common to derive all triples according to RDFS entailment rules before query processing. An undesirable drawback of this approach is that a large number of triples are generated by the RDFS reasoning, and hence considerable amount of storage space is required if we materialize the RDFS closure. In this paper, we propose RDF packages, which is a time and space efficient format for RDF data. In an RDF package, a set of triples of the same class or triples having the same predicate are grouped into a dedicated node named Package. Using Packages, we can represent any metadata that can be expressed by RDF. An important feature of the RDF packages is that, when performing RDFS reasoning, the same rules can be applied without any modification, thereby allowing us to use existing RDFS reasoners. In this paper, we discuss the model of RDF packages and its rules, followed by the transformation between RDF and RDF packages. We also discuss the implementation RDF packages using an existing RDF framework. Finally, we demonstrate the performance of the proposed scheme in triple size, reasoning speed, and querying speed.

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    iiWAS '10: Proceedings of the 12th International Conference on Information Integration and Web-based Applications & Services
    November 2010
    895 pages
    ISBN:9781450304214
    DOI:10.1145/1967486
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    • IIWAS: International Organization for Information Integration
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    New York, NY, United States

    Publication History

    Published: 08 November 2010

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    Author Tags

    1. RDF
    2. RDFS reasoning
    3. semantic web

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