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Article

New directions in linked data fusion

Published: 21 October 2014 Publication History
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  • Abstract

    When consuming Linked Data from multiple sources, or from a data source after deduplication of entities, conflicting, missing or outdated values must be dealt with during data fusion in order to increase the usefulness and quality of the data. In this poster, we argue that the nature of Linked Data in RDF requires a more sophisticated approach to data fusion than the current Linked Data fusion tools provide. We demonstrate where they fall short on a real case of public procurement data fusion when dealing with property dependencies and fusion of structured values, and we propose new data fusion extensions to address these problems.

    References

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    Bleiholder, J., Naumann, F.: Data Fusion. In: ACM Computing Surveys 41.1 (2008).
    [2]
    Mendes, P. N., Mhleisen, H., Bizer, C.: Sieve: Linked Data Quality Assessment and Fusion. In: Proceedings of the 2012 Joint EDBT/ICDT Workshops, ACM (2012).
    [3]
    Knap, T., et al.: UnifiedViews: An ETL Framework for Sustainable RDF Data Processing. In: The Semantic Web: ESWC 2014, Posters and Demos Track (2014).
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    Mynarz, J., Svátek, V.: Towards a Benchmark for LOD-enhanced Knowledge Discovery from Structured Data. In: Proceedings of the Second International Workshop on Knowledge Discovery and Data Mining Meets Linked Open Data (2013).

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    Published In

    cover image Guide Proceedings
    ISWC-PD'14: Proceedings of the 2014 International Conference on Posters & Demonstrations Track - Volume 1272
    October 2014
    480 pages

    Publisher

    CEUR-WS.org

    Aachen, Germany

    Publication History

    Published: 21 October 2014

    Author Tags

    1. RDF
    2. data fusion
    3. data integration
    4. linked data

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