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Integrating linked data through RDFS and OWL: some lessons learnt

Published: 29 August 2011 Publication History
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  • Abstract

    In this paper, we summarise the lessons learnt from the PhD Thesis Exploiting RDFS and OWL for Integrating Heterogeneous, Large-Scale, Linked Data Corpora where we looked at three use-cases for reasoning over Linked Data: (i) translating data between different vocabulary terms; (ii) identifying and repairing noise in the form of inconsistency; and (iii) detecting and processing coreferent identifiers (identifiers which refer to the same thing). We summarise how we overcome the challenges of scalability and robustness faced when reasoning over Linked Data. We validate our methods against an open-domain corpus of 1.1 billion quadruples crawled from 4 million Linked Data documents, discussing the applicability and utility of our reasoning methods in such scenarios.

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    • (2012)Dealing with inconsistencies in linked data mashupsProceedings of the 16th International Database Engineering & Applications Sysmposium10.1145/2351476.2351496(175-180)Online publication date: 8-Aug-2012

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    Published In

    cover image Guide Proceedings
    RR'11: Proceedings of the 5th international conference on Web reasoning and rule systems
    August 2011
    305 pages
    ISBN:9783642235795

    Sponsors

    • DERI
    • Siemens AG
    • VULCAN Inc.
    • Office of Naval Research Global Science & Technology
    • Storm Technology: Storm Technology

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    Springer-Verlag

    Berlin, Heidelberg

    Publication History

    Published: 29 August 2011

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    • (2012)Dealing with inconsistencies in linked data mashupsProceedings of the 16th International Database Engineering & Applications Sysmposium10.1145/2351476.2351496(175-180)Online publication date: 8-Aug-2012

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