Web Data Quality: Current State and New Challenges

Amrapali Zaveri*, Andrea Maurino, Laure-Berti Equille

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

7 Citations (Web of Science)


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.
Original languageEnglish
Pages (from-to)1-6
JournalInternational Journal on Semantic Web and Information Systems
Issue number2
Publication statusPublished - 2014
Externally publishedYes


  • Adoption
  • Data Quality
  • Linked Data
  • Ontology Quality
  • Quality Assessment

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