Quality Analysis and Exploration of Provenance Information Towards Automated Evaluation Methods on Wikidata

Abstract

Wikidata, one of the largest knowledge graphs curated by the worldwide community, has been growing enormously over the years, leading to many concerns about data quality issues. Much factual knowledge of Wikidata lacks references information or insufficient information to support other fact- checking applications. In this paper, we first analyze the provenance status of researchers of Wikidata as a topical Wikidata domain knowledge. Second, we propose a new evaluation method to judge the provenance information of the target domain. Using our new evaluation methods, we found many references in the researcher domain inaccessible or difficult to access.