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China Semantic Web Symposium and Web Science Conference

CSWS 2013: Linked Data and Knowledge Graph pp 106–117Cite as

An Analysis of Data Quality in DBpedia and Zhishi.me

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 406))

Abstract

Linked Data has experienced an accelerating growth since it was launched on 2006. While an increasing amount of RDF data is available on the web, errors also proliferate, thus the quality of Linked Data has drawn more and more public attention. Since the quality of data in some way affects the reliability and efficiency of web applications consuming Linked Data, demand for quality analysis of Linked Data becomes increasingly imperative. In this paper, we present some problems concerning the quality of Linked Data. These problems are discovered through our analysis on two cross-domain RDF datasets: DBpedia and Zhishi.me, both of which are based on automatic extraction of resources from existing encyclopedias. Some of the problems can be detected simply by SPARQL queries, while others cannot. For every problem listed in this paper, we present a method for the detection of it. Besides, we do experiments to demonstrate the validity of our methods.

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Author information

Authors and Affiliations

  1. School of Computer Science and Engineering, Southeast University, Nanjing, 210096, China

    Yanfang Ma & Guilin Qi

Authors
  1. Yanfang Ma
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  2. Guilin Qi
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Editor information

Editors and Affiliations

  1. Southeast University, Jiangning, China

    Guilin Qi

  2. Tsinghua University, Beijing, China

    Jie Tang

  3. Guangdong University of Foreign Studies, China

    Jianfeng Du

  4. Department of Computing Science, University of Aberdeen, AB24 3UE, Aberdeen, UK

    Jeff Z. Pan

  5. Shanghai Jiao Tong University, China

    Yong Yu

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Ma, Y., Qi, G. (2013). An Analysis of Data Quality in DBpedia and Zhishi.me. In: Qi, G., Tang, J., Du, J., Pan, J.Z., Yu, Y. (eds) Linked Data and Knowledge Graph. CSWS 2013. Communications in Computer and Information Science, vol 406. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54025-7_10

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  • DOI: https://doi.org/10.1007/978-3-642-54025-7_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-54024-0

  • Online ISBN: 978-3-642-54025-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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