Hackathon on Metadata and Provenance for Knowledge Graphs

We invite researchers and practitioners to join a collaborative hackathon focused on improving the quality, context, and traceability of Knowledge Graphs (KGs). This event serves as a hands-on “kick-off” of Task 2.2 (Metadata and Provenance), exploring how new mechanisms like RDF 1.2 and nested triple terms (earlier RDF-star) can address existing limitations in metadata modeling.

While we welcome participants to propose their own topics related to RDF 1.2, we have identified two core challenges to be tackled:

Participants are encouraged to align their contributions with one of these two primary challenges, or to propose a novel challenge they are prepared to lead. Please note that, while we use these proposals to shape the event, the organizers will define the final hackathon topics.

Hackathon Themes

• Wikibase & RDF 1.2: Analyzing the expressiveness of the Wikibase data model (references, qualifiers, etc.) and how RDF 1.2 nested statements can address them.
• Best Practices & Recommendations: Identifying and defining data modeling guidelines for using RDF 1.2 to capture metadata and provenance effectively.
• Introduction & Kick-off: Aligning on goals and finalizing project teams.
• Collaborative Breakout Sessions: The core of the event, where participants work in small groups on technical challenges, modeling, or implementation.

Main organizers

• Katja Hose (TU Wien)
• José Emilio Labra Gayo (Universidad de Oviedo)
• Maxime Jakubowski (TU Wien)

Organizing committee

• Olaf Hartig (Linköping University)
• Dominik Tomaszuk (University of Bialystok)
• Ruben Taelman (Ghent University)