WiCleanData: Guaranteeing the Type Consistency of Wikidata by Taxonomy Refinement and Constraint Enforcement
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Abstract (arXiv)
Because of its collaborative nature, Wikidata suffers from errors, in- consistencies, and excessive complexity, such as redundant classes, ambiguity between instances and classes, wrong taxonomic paths, and type constraint violations. The manual curation of these issues is infeasible at scale. To address these challenges, we introduce WiCleanData, a refined version of Wikidata with a consistent tax- onomy and free from type constraint violations. Specifically, we have designed an automated pipeline that first cleans the taxonomy with language model assistance, then simplifies type constraints by hierarchical aggregation, and finally filters facts accordingly. The resulting knowledge graph, free from any type violation, is made publicly available via a Web interface, enabling easy exploration and downstream applications.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 8 of its 32 references that are in the map. First posted on arXiv 17 Sep 2026.
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References · 8
- 2018DeepType: Multilingual Entity Linking by Neural Type System Evolutioncited by 41
- 2023YAGO 4.5: A Large and Clean Knowledge Base with a Rich Taxonomycited by 37
- 2021A Study of the Quality of Wikidatacited by 35
- 2024Are Large Language Models a Good Replacement of Taxonomies?cited by 19
- 2018Triple Trustworthiness Measurement for Knowledge Graphcited by 16
- 2023KGrEaT: A Framework to Evaluate Knowledge Graphs via Downstream Taskscited by 6
- 2024A compendium and evaluation of taxonomy quality attributescited by 6
- 2024Class Order Disorder in Wikidata and First Fixescited by 1
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