Ursula R.

Innovation Prototyping Lab 2026: selected sessions live-streamed Hi everyone! 👋 I'm sharing an upcoming event that may be of interest to the Knowledge Graph community. GRAPHIA and LUMEN are EU-funded projects exploring how Knowledge Graphs, AI and digital research infrastructures can improve the discovery, integration and reuse of research data. GRAPHIA is developing a federated Knowledge Graph for the Social Sciences and Humanities, while LUMEN is working on connected discovery and research services within the EOSC ecosystem. The Innovation Prototyping Lab (IPL) 2026 brings the two communities together in Brussels from 14–18 September for hands-on collaboration and prototyping. The programme includes sessions on Knowledge Graph architecture and UI co-design, conversational interfaces, AI/LLM applications, ontology development, benchmarks, semantic interoperability, data and knowledge discovery, and governance of federated infrastructures. There will also be an industry panel and sessions looking at next-generation tools and workflows for producing and reusing knowledge-graph-ready data. While in-person participation is limited to project partners and invited speakers, selected main-room sessions will be live-streamed publicly. Register for the livestream here: docs.google.com/forms/…/viewform Programme and further details: graphia-ssh.eu/news-blog/innovation-prototyping-lab-2026-where-minds-connect-and-innovation-emerges Given the KGC community's focus on Knowledge Graphs, semantic technologies and AI, I thought this might be particularly relevant to share here.

Hi all, I'm pleased to invite you to an upcoming webinar organised within the GRAPHIA project, taking place on 16 April at 2 PM CET. Title: Beyond SPARQL: towards conversation-based access to knowledge graphs in GRAPHIA SPARQL has long been the standard interface to knowledge graphs but its technical complexity limits access for many audiences. This webinar introduces Quagga, an LLM-based agent developed within GRAPHIA that enables conversational exploration of knowledge graphs using natural language. During the session, we will present how the agent works, including methods to automatically generate metadata from any knowledge graph to support text-to-SPARQL translation. We will also highlight the Quagga benchmark, an ongoing collaborative crowdsourcing effort to build a knowledge graph question-answering dataset focused on the social sciences and humanities. The webinar will be of particular interest to researchers, data stewards, and anyone working with or curious about knowledge graphs in the SSH domain. https://us02web.zoom.us/meeting/register/zv0Kr1JNQeyuiGAFc7z-6g#/registration We hope you can join us and take part in the discussion. Best regards, Ursula P.S. In case you missed our previous webinar focused on LLMs, you can find the recording here.

Just a reminder about the above call for pilots: the deadline is approaching (5th March), if anyone has any questions, feel free to reach out.

WEBINAR: Hi all we have a second free webinar in the GRAPHIA project 2026 series, this time focused on LLMs: 19th March, 2 PM CET. This webinar offers an accessible introduction to how large language models (LLMs) work—and what they can (and cannot) do for research in the social sciences and humanities. Using GRAPHIA as a case study, the session walks participants through the lifecycle of an LLM, from pre-training to domain adaptation, while introducing core concepts such as tokenisation, embeddings, transformer architecture, and prompting. We will also present the ongoing GRAPHIA LLM4SSH initiative, aimed at developing a suite of models tailored to scholarly needs, and demonstrate how researchers can access and experiment with LLMs through the GRAPHIA LLM Gateway. Register here: https://us02web.zoom.us/meeting/register/Tp0tOOV3RS2uyehZ5iyYdA#/registration

As you might have heard, GRAPHIA, an European research project, is building an open knowledge graph to connect Social Sciences and Humanities (SSH) data, making it easier to explore, link, and reuse. We have opened the 1st Call for Pilots for commercial and industry organisations working with Social Sciences and Humanities (SSH) content to join in to explore how the GRAPHIA knowledge graph infrastructure can support real-world products, services, and workflows. Who is this for? Organisations based in the European Research Area such as (but not limited to) scholarly and trade publishers, EdTech providers, data aggregators, SMEs, start-ups, consultancies, or other organisations working with SSH data. Benefits:

Deadline for expressions of interest: 5 March 2026 Full details and the short form to express interest can be found here. In case you are not based in the European Research Area, you can send us your suggestion anyway for consideration.

WEBINAR: Hi all, I’d like to briefly share news about GRAPHIA, an EU-funded project that may be of interest to those engaged in open scholarship, research infrastructure, and scholarly communication. We are building a comprehensive Social Sciences and Humanities (SSH) Knowledge Graph. Its goal is to connect fragmented SSH data (across disciplines, repositories, and formats) to make research outputs easier to discover, understand, and reuse. A knowledge graph structures information as entities and meaningful relationships, embedding context rather than just linking records. For SSH, where data is often dispersed across archives, publications, cultural heritage collections, and datasets, this approach helps overcome silos and supports more open, interoperable, and reusable research. To introduce these ideas, GRAPHIA is hosting a free public webinar: Why a Knowledge Graph for SSH? Concrete Use Cases with GRAPHIA 19 February at 11 AM CET Online (Zoom) Register here: https://us02web.zoom.us/meeting/register/j6TbmDbjSfyetRAT92e5XA#/registration The session will provide an accessible overview of what knowledge graphs are, how they work, and why they matter - particularly for SSH research and open scholarly infrastructures. Best regards, Ursula, on behalf of the GRAPHIA project

Hi all, As a reminder, the GRAPHIA project (https://graphia-ssh.eu/) is inviting researchers in the social sciences and humanities (SSH) to take part in a short survey on how they interact with knowledge graphs, particularly when supported by Large Language Models (LLMs). You have one more week to participate! We are interested in understanding how researchers explore, query, and make sense of structured research data — whether through natural language interfaces (e.g. chat-based tools) or more formal query mechanisms (e.g. menus, filters, or query languages). Your input will directly inform the design of future tools and interaction models within GRAPHIA. Survey details

👉 Take the survey here: https://forms.gle/rna8NcybYri1wft69 GRAPHIA is committed to a co-design approach, ensuring that emerging research infrastructures reflect real user practices and needs. By sharing your perspective, you will help shape how knowledge graphs and AI-supported interfaces evolve for SSH research. Thank you for considering contributing your experience. Kind regards, Ursula, on behalf of the GRAPHIA project

Hi all, many of you work at the intersection of knowledge graphs, linked data, and research infrastructures. At GRAPHIA (a project building an open, interoperable SSH Knowledge Graph - graphia-ssh.eu) we’re working to understand how researchers actually interact with these technologies, especially when supported by LLMs. To support this, the GRAPHIA team is running a short 15-minute survey on how SSH researchers explore and query research data: natural-language interfaces, structured tools, SPARQL, dropdowns, chatbots - whatever reflects your practice. Your input will directly shape GRAPHIA’s co-design process and help us build tools that better match real research workflows. 👉 Survey link: https://forms.gle/MjbqJr6gpMHHEiA58 (deadline 16 January 2026) We would be grateful if you could participate and share within your networks. Thank you - and if you’re interested in GRAPHIA’s work connecting scattered SSH data sources into a shared, usable KG, I’m always happy to chat!