Disjointness Violations in Wikidata
October 17, 2024 Β· Declared Dead Β· π Iberoamerican Conference on Knowledge Graphs and Semantic Web
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Authors
Ege Atacan DoΔan, 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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