@graphiaproject.bsky.socialAt #GRAPHIA’s second Innovation Prototyping Lab, researchers explored emerging interfaces for the Federated Knowledge Graph: from visual and natural-language querying to conversational agents. Key themes: transparency, provenance and usability.
@graphiaproject.bsky.social🎉 #GRAPHIA has received the Award for Maturity in the Data Challenge organised by HERMES & NFDI4Culture!
Thanks to: Harshdeep Singh & Matteo Romanello (Odoma), Polina Proutskova (Industry Commons Foundation) & Olga Velichkina (French Society for Ethnomusicology)
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@graphiaproject.bsky.social🎯 Five days of IPL 2026, and what a week!
From Knowledge Graphs, AI & Quagga to LUMIS, industry use cases, sustainability & governance - we've tested ideas, challenged assumptions and worked together on what's next.
Now: onwards to 2027! 🚀
@graphiaproject.bsky.socialDay 4 of IPL 2026 is focusing on how next-generation instruments, tools, and workflows are reshaping the production, integration, and reuse of data in SSH, with a focus on the heritage science domain.
#GRAPHIA #Sustainability #ResearchInfrastructure #OpenScience
@graphiaproject.bsky.socialToday's IPL 2026 Industry Panel starting just after lunch is exploring existing use cases, new opportunities and what industry partners actually need.
Read more about our use cases here: graphia-ssh.eu/news-blog/we...
@graphiaproject.bsky.socialMeet #Quagga - and imagine what comes next.
Today’s IPL session explores translating Quagga’s competency questions into other languages, drawing on the project’s linguistic diversity to make Quagga data more accessible beyond English.
@graphiaproject.bsky.social🧠 Day 2 of IPL 2026: diving into the GRAPHIA Knowledge Graph!
Today's technical update is paired with UI co-design - asking not just what the technology can do, but how people will actually interact with it.
@graphiaproject.bsky.social
@graphiaproject.bsky.social🚀 Meet Quagga Agent: ask SSH knowledge graphs questions in plain language - no SPARQL required. Get verified answers and the exact query behind them, keeping the process transparent and reproducible.