Tools and Results
MetriKG: Profiling Static and Evolving Knowledge Graphs
Knowledge graphs are rarely static: their structure and semantics change as data and schemas evolve. MetriKG is an open source Web application that profiles both static and evolving knowledge graphs, computing a comprehensive set of metrics at the data level (ABox) and the schema level (TBox), from RDF files or live SPARQL endpoints.
The tool supports profiling, classification, and monitoring of knowledge graphs over time. Try it out through the live instance below, or explore the source code on GitHub.
Important Links
- Live instance: metrikg.dbai.tuwien.ac.at
- Source code: GitHub repository
Publications
- H. Günes, M. Jovanovik, K. Hose
MetriKG: Profiling Static and Evolving Knowledge Graphs
In: The Web Conference 2026 (pdf)
How is RDF validation really used in practice?
Between December 2024 and March 2025, we asked the global RDF community exactly that. The result is a rich snapshot of today’s validation landscape — covering tools, workflows, challenges, and unmet needs across academia and industry.
Beyond publishing our findings, we go one step further: we open up the survey itself. Through an interactive website, you can explore the raw data, reproduce our analyses, and uncover your own insights. Dive in, query the data, and see how your experiences compare to the broader community.
Important Links
- Interactive website: website
Publications
- M. Jakubowski, D. Tomaszuk, K. Hose
Bridging Gaps in RDF Validation - Insights and Innovation Opportunities in RDF Validation Practicse
In: SEMANTiCS 2025 (pdf)