[Résumé] Methodological framework for analyzing knowledge organization practices in Wikidata.

is assistant professor at the Faculty of Journalism, Information, and Book Studies, University of Warsaw, Poland. He holds a PhD degree in Library and Information Science. He is a member of the International Society for Knowledge Organization (ISKO) and DARIAH Bibliographical Data Working Group. His research interests include conceptual modeling of bibliographic data, networked knowledge organization systems, and social approaches to knowledge organization.

The goal of this presentation is to introduce the methodological framework for studying knowledge-organization practices in Wikidata—a community-developed knowledge graph. Wikidata is a collaborative, multilingual, secondary knowledge graph that contains facts about reality expressed through the Wikidata Ontology. Its collaborative nature means that both the knowledge base and the ontology are developed and maintained by community members. In this presentation, we will focus on the collaborative development of the Wikidata Ontology— in other words, how the community of anonymous Wikidata members contributes to its evolution.

We consider Wikidata to be the sociotechnical infrastructure in which knowledge organization practices take place under the peer-production model. Therefore, studying these practices requires a methodological framework that reveals their collaborative nature as embedded in the development process of a knowledge organization system. We approach the process of Wikidata ontology evolution using a methodology of ontology engineering. However, we examine each step in that methodology through a conceptual framework of peer-production systems. This allows us to reveal how the institutional structure of Wikidata (e.g., policies, regulations) and its social structure (e.g., division of labor) affect the process of change in the collaboratively developed Wikidata Ontology.