Daniel Mietchen
Daniel Mietchen is a biophysicist interested in integrating open research and education workflows with the web. His research spans multiple scales and disciplines: from subcellular processes to whole organisms, from fossils to developing embryos, and from biodiversity informatics to mathematics and data science. He is particularly interested in how these diverse perspectives connect with sustainable development. With experience across many stages of the research cycle, Daniel has explored a wide range of practices in collaboration, sharing, and reproducibility. Beyond that, he has been an active contributor to Wikipedia and other Wikimedia projects for nearly twenty years, working to strengthen the ties between the Wikimedia and research communities, particularly through Wikidata.
Sessions
Rewriting scholarly SPARQL queries for the graph split: Tiago Lubiana
Building on a previous presentation at WikiCite 2025, we will show an overview of the process that led to the graph split on Wikidata and walk participants through rewriting SPARQL queries. The session will present some of the tricks for adapting queries to the split, including internal federation and Blazegraph hints. The session will build capacity towards the rewrite of scholarly queries, with a particular focus on supporting the Scholia platform, as well as briefly discuss how queries can be prepared for a future transition (hint: staying as close as the core syntax of the SPARQL standard as possible).
Federating SPARQL queries involving Wikibase instances: Daniel Mietchen
Federated queries make it possible to connect knowledge across different SPARQL endpoints, enabling richer insights than any single dataset can provide. For the Wikibase ecosystem, this is especially powerful, as researchers, institutions, and community projects often maintain their own Wikibase instances, and being able to query across several of them (including Wikidata) opens new opportunities for discovery, reuse, and collaboration.
Scholia has become a central tool for exploring scholarly information in Wikidata, generating profiles for authors, topics, institutions, journals, and more. In this talk, we will provide an overview of Scholia’s current state: how it is used, what has changed in its infrastructure, and where it is headed. A major theme will be the 2025 Wikidata Graph Split, which directly impacts how Scholia retrieves and processes data. We will illustrate how Scholia has adapted to the new split between the main and scholarly graphs, including adjustments to queries and the use of SPARQL federation. Beyond this technical shift, we will also look at ongoing development, community contributions, and future challenges for sustaining and extending Scholia in the evolving Wikidata ecosystem.