AI RESEARCH

Understanding Wikidata Qualifiers: An Analysis and Taxonomy

arXiv CS.AI

ArXi:2603.11767v1 Announce Type: new This paper presents an in-depth analysis of Wikidata qualifiers, focusing on their semantics and actual usage, with the aim of developing a taxonomy that addresses the challenges of selecting appropriate qualifiers, querying the graph, and making logical inferences. The study evaluates qualifier importance based on frequency and diversity, using a modified Shannon entropy index to account for the "long tail" phenomenon.