Automating the use of Shape Expressions for the validation of semantic knowledge in Wikidata

Houcemeddine Turki, Mohamed Ali Hadj Taieb, Khalil Chebil, Mohamed Ben Aouicha, Lane Rasberry, Daniel Mietchen

Research output: Contribution to journalConference articlepeer-review

Abstract

In this position paper, we discuss the semantic alignment-based approach for automating the ShEx-based validation of Wikidata items as proposed by Wikimedia Deutschland in July 2023, and we propose an alternative method that automates the shape-based validation of Wikidata entities and statements based on the conversion of ShEx EntitySchemas into SPARQL queries that identify relevant entities. We explain the advantages and drawbacks of both methods to provide the community with a useful overview of the matter.

Original languageEnglish
JournalCEUR Workshop Proceedings
Volume3640
StatePublished - 2023
Externally publishedYes
Event4th Wikidata Workshop, Wikidata 2023 - Athens, Greece
Duration: 13 Nov 2023 → …

Keywords

  • Data Quality
  • Knowledge Graph Validation
  • Semantic Alignment
  • Shape Expressions
  • SPARQL
  • Wikidata

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