发现维基数据中大量不相交约束违规，提出识别与修复方案。
Disjointness Violations in Wikidata
- 用SPARQL查询定位导致不相交冲突的具体条目
- 梳理出多种违规模式并给出修复公式
- 为维基数据未来改进不相交建模提供建议
不相交性检查是知识库中最重要的约束检查之一，可用于检测和纠正错误陈述及内部矛盾。维基数据是一个规模巨大、由社区维护的知识库，由于其体量和构建方式，存在大量错误陈述和内部矛盾。本文分析了维基数据当前的不相交性建模，识别出导致不相交性违规的模式并进行分类。通过SPARQL查询定位每个引发冲突的“罪魁祸首”，并提出公式以识别和修复矛盾信息。最后讨论了未来如何更优地建模和扩展维基数据中的不相交信息。
原文摘要 · Abstract (English)
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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