Analysing the Evolution of Community-Driven (Sub-)Schemas within Wikidata

Wikidata is a collaborative knowledge graph not structured according to predefined ontologies. Its schema evolves in a bottom-up approach defined by its users. In this paper, we propose a methodology to investigate how semantics develop in sub-schemas used by particular, domain-specific communities within the Wikidata knowledge graph: (i) we provide an approach to identify the domain sub-schema from a set of given classes and its related community, considered domain-specific; (ii) we propose an approach for analysing the such identified sub-schemas and communities, including their evolution over time. Finally, we suggest further possible analyses that would give better insights in (i) the communities themselves, (ii) the KG vocabulary accuracy, quality and its evolution over time according to domain areas, raising the potential of Wikidata improvement and its re-use by domain experts.