Quality Assessment Methodologies for Linked Open Data

  title={Quality Assessment Methodologies for Linked Open Data},
  author={Amrapali Zaveri and Anisa Rula and Andrea Maurino and Ricardo Pietrobon and Jens Lehmann and S{\"o}ren Auer},
The development and standardization of semantic web technologies have resulted in an unprecedented volume of data being published on the Web as Linked Open Data (LOD). However, we observe widely varying data quality ranging from extensively curated datasets to crowd-sourced and extracted data of relatively low quality. Data quality is commonly conceived as fitness of use. Consequently, a key challenge is to determine the data quality wrt. a particular use case. In this article, we present the… CONTINUE READING
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Quality characteristics of linked data publishing datasources

  • Master’s thesis, Humboldt-Universität zu Berlin,
  • 2010
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