Disjointness Violations in Wikidata

October 17, 2024 Β· Declared Dead Β· πŸ› Iberoamerican Conference on Knowledge Graphs and Semantic Web

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Authors Ege Atacan Doğan, Peter F. Patel-Schneider arXiv ID 2410.13707 Category cs.AI: Artificial Intelligence Cross-listed cs.IR Citations 2 Venue Iberoamerican Conference on Knowledge Graphs and Semantic Web Last Checked 4 months ago
Abstract
Disjointness checks are among the most important constraint checks in a knowledge base and can be used to help detect and correct incorrect statements and internal contradictions. Wikidata is a very large, community-managed knowledge base. Because of both its size and construction, Wikidata contains many incorrect statements and internal contradictions. We analyze the current modeling of disjointness on Wikidata, identify patterns that cause these disjointness violations and categorize them. We use SPARQL queries to identify each ``culprit'' causing a disjointness violation and lay out formulas to identify and fix conflicting information. We finally discuss how disjointness information could be better modeled and expanded in Wikidata in the future.
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