mlsanityData to 14 Oct 2026

A Study of the Quality of Wikidata

arXiv 2107.00156 ↗First posted 1 Jul 2021cs.AIcited by 35

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Abstract (arXiv)

Wikidata has been increasingly adopted by many communities for a wide variety of applications, which demand high-quality knowledge to deliver successful results. In this paper, we develop a framework to detect and analyze low-quality statements in Wikidata by shedding light on the current practices exercised by the community. We explore three indicators of data quality in Wikidata, based on: 1) community consensus on the currently recorded knowledge, assuming that statements that have been removed and not added back are implicitly agreed to be of low quality; 2) statements that have been deprecated; and 3) constraint violations in the data. We combine these indicators to detect low-quality statements, revealing challenges with duplicate entities, missing triples, violated type rules, and taxonomic distinctions. Our findings complement ongoing efforts by the Wikidata community to improve data quality, aiming to make it easier for users and editors to find and correct mistakes.

Key facts. Cited by 35 papers in the map (data through 14 Oct 2026). Builds on 4 of its 34 references that are in the map. First posted on arXiv 1 Jul 2021.

Builds on

4 of 34 references.

References · 4

  1. 2020Message Passing for Hyper-Relational Knowledge Graphscited by 79
  2. 2020KGTK: A Toolkit for Large Knowledge Graph Manipulation and Analysiscited by 17
  3. 2020Wikidata on MARScited by 2
  4. 2021Typing Errors in Factual Knowledge Graphs: Severity and Possible Ways Outcited by 2

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 4; 2022: 7; 2023: 5; 2024: 8; 2025: 7; 2026: 4.

35 papers.

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  1. 2025KGGen: Extracting Knowledge Graphs from Plain Text with Language Modelscited by 49
  2. 2023YAGO 4.5: A Large and Clean Knowledge Base with a Rich Taxonomycited by 37
  3. 2024SPINACH: SPARQL-Based Information Navigation for Challenging Real-World Questionscited by 27
  4. 2023Construction of Knowledge Graphs: State and Challengescited by 12
  5. 2023Relevant Entity Selection: Knowledge Graph Bootstrapping via Zero-Shot Analogical Pruningcited by 7
  6. 2022WikiDes: A Wikipedia-Based Dataset for Generating Short Descriptions from Paragraphscited by 6
  7. 2022ProVe: A Pipeline for Automated Provenance Verification of Knowledge Graphs against Textual Sourcescited by 5
  8. 2023Using Large Language Models for Knowledge Engineering (LLMKE): A Case Study on Wikidatacited by 5
  9. 2024Uncertainty Management in the Construction of Knowledge Graphs: a Surveycited by 5
  10. 2024Refining Wikidata Taxonomy using Large Language Modelscited by 5
  11. 2025UAQFact: Evaluating Factual Knowledge Utilization of LLMs on Unanswerable Questionscited by 3
  12. 2025Schema Generation for Large Knowledge Graphs Using Large Language Modelscited by 3
23 more
  1. 2025LightKGG: Simple and Efficient Knowledge Graph Generation from Textual Datacited by 3
  2. 2021Wikidated 1.0: An Evolving Knowledge Graph Dataset of Wikidata's Revision Historycited by 2
  3. 2022Statistical and Neural Methods for Cross-lingual Entity Label Mapping in Knowledge Graphscited by 2
  4. 2022Enriching Wikidata with Linked Open Datacited by 2
  5. 2025Diagnosing and Mitigating Semantic Inconsistencies in Wikidata's Classification Hierarchycited by 2
  6. 2021User-friendly Comparison of Similarity Algorithms on Wikidatacited by 1
  7. 2021Language Models As or For Knowledge Basescited by 1
  8. 2021Creating Knowledge Graphs Subsets using Shape Expressionscited by 1
  9. 2022Does Wikidata Support Analogical Reasoning?cited by 1
  10. 2022Leveraging Wikidata's edit history in knowledge graph refinement taskscited by 1
  11. 2024The X Types -- Mapping the Semantics of the Twitter Spherecited by 1
  12. 2024Disjointness Violations in Wikidatacited by 1
  13. 2024Class Order Disorder in Wikidata and First Fixescited by 1
  14. 2022A topic-aware graph neural network model for knowledge base updatingcited by 0
  15. 2023A Knowledge Engineering Primercited by 0
  16. 2024Standardizing Knowledge Engineering Practices with a Reference Architecturecited by 0
  17. 2024Evaluating Class Membership Relations in Knowledge Graphs using Large Language Modelscited by 0
  18. 2025Improving Knowledge Graph Embeddings through Contrastive Learning with Negative Statementscited by 0
  19. 2025Kastor: Fine-tuned Small Language Models for Shape-based Active Relation Extractioncited by 0
  20. 2026OntoKG: Ontology-Oriented Knowledge Graph Construction with Intrinsic-Relational Routingcited by 0
  21. 2026Categorizing Mathematical Concepts with LLM Voting Ensembles in Mathswitchcited by 0
  22. 2026MBA: Multimodal Benchmark and Agents for Real-World Business Ideationcited by 0
  23. 2026WiCleanData: Guaranteeing the Type Consistency of Wikidata by Taxonomy Refinement and Constraint Enforcementcited by 0