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Web Data Quality: Current State and New Challenges

Author

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  • Amrapali Zaveri

    (Institüt für Informatik, Universität Leipzig, Leipzig, Germany)

  • Andrea Maurino

    (Department of Computer Science, University of Milano Bicocca, Milano, Italy)

  • Laure-Berti Equille

    (Qatar Computing Research Institute, Doha, Qatar)

Abstract

The standardization and adoption of Semantic Web technologies has resulted in an unprecedented volume of data being published as Linked Data (LD). However, the “publish first, refine later” philosophy leads to various quality problems arising in the underlying data such as incompleteness, inconsistency and semantic ambiguities. In this article, we describe the current state of Data Quality in the Web of Data along with details of the three papers accepted for the International Journal on Semantic Web and Information Systems' (IJSWIS) Special Issue on Web Data Quality. Additionally, we identify new challenges that are specific to the Web of Data and provide insights into the current progress and future directions for each of those challenges.

Suggested Citation

  • Amrapali Zaveri & Andrea Maurino & Laure-Berti Equille, 2014. "Web Data Quality: Current State and New Challenges," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 10(2), pages 1-6, April.
    • Handle: RePEc:igg:jswis0:v:10:y:2014:i:2:p:1-6
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