Problem
Research questions and friction points this paper is trying to address.
Wikidata
inconsistencies
type constraint violations
taxonomy refinement
WiCleanData: Guaranteeing the Type Consistency of Wikidata by Taxonomy Refinement and Constraint Enforcement
🤖 AI Summary
为解决Wikidata中的错误和不一致性问题，本文通过分类细化和约束强化方法，提出WiCleanData，利用自动化流程清理分类并简化类型约束。
📝 Abstract
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.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Taxonomy Refinement
Constraint Enforcement
Automated Pipeline
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