GRAPHIA Project

Thrilled to share that one of our #GRAPHIA partners, Odoma, contributed to an exciting event this September — and the result is now publicly available: the Cultural Heritage AI Cookbook! https://lnkd.in/dsP_bEqV From 8–12 September, Pelagios partners hosted the workshop “Enriching Digital Heritage with LLMs and Linked Open Data” in Leiden, funded by the e-Lorentz Center. The workshop brought together experts exploring how LLMs and Linked Open Data can support cultural heritage institutions in enriching their metadata at scale. The CHAI Cookbook offers a set of practical, adaptable “recipes” that guide users through data preparation, relationship extraction, evaluation workflows, and more. Huge thanks to Odoma's Matteo Romanello for representing GRAPHIA in this valuable event for the cultural heritage community. #CulturalHeritage #AI #LinkedOpenData #LLM #DigitalHeritage #Metadata #CHAI #Pelagios #EInfrastructure #OpenScience

The #GRAPHIA knowledge graph survey closes soon! ⏳ With the 1 December deadline just 5 days away, now is the perfect time to share your perspective. If you’re an SSH researcher (no KG or query-language experience needed!), your input will directly shape how GRAPHIA supports natural-language and structured exploration of research data. Take 15 minutes and help co-design the future of research interaction: https://lnkd.in/dX-F4sEt #KnowledgeGraphs #LLMs #SSHResearch #DigitalHumanities #OpenScience #CoDesign #ResearchTools #GraphTechnologies

How can Large Language Models (LLMs) support qualitative research? One direction is using #LLMs to analyse interview data and help researchers turn insights into clear, meaningful narratives. A new article by Stefano De Paoli from Abertay University, a partner in the #GRAPHIA project, explores how LLMs can help in the process of generating personas, scenarios, and functional requirements directly from interview data. 📄 Read the full article: https://lnkd.in/ehDDfTKw Stefano also collaborated with colleagues (Crystal Silver, Alex Fawzi) on developing the GRAPHIA user personas & scenarios, which you can explore here: https://lnkd.in/dJ-wrVcA This work opens new possibilities for researchers working at the intersection of AI, qualitative analysis, and design. #AIResearch #QualitativeResearch #ThematicAnalysis #UXResearch

We’re excited to share that #GRAPHIA will join forces with our partners in OPERAS Research Infrastructure and LUMEN for the next GraspOS webinar on 3 December, 11:00 CET! As #GoTriple continues to evolve as a multilingual discovery platform for #SSH, several European projects (including GRAPHIA, LUMEN, and others) are contributing new features that support more responsible and Open Science-aligned research assessment. We’re proud that Julien Homo (Foxcub/GRAPHIA) will speak alongside colleagues from OPERAS, GraspOS, and the University of Coimbra. 🔗 Registration and more info here: https://lnkd.in/d9YCXMHD We hope you’ll join us to discover how collaborative European efforts are shaping the future of SSH research assessment. #OpenScience #ResearchAssessment #KnowledgeGraphs #ResponsibleMetrics #EUProjects

📣 How Do You Interact with #KnowledgeGraphs? We Want to Hear from You! The #GRAPHIA team at Abertay University is running a short survey to understand how researchers, especially those in the Social Sciences and Humanities (SSH), work with knowledge graphs when supported by Large Language Models (#LLMs). Your perspective is essential. GRAPHIA is being co-designed with its users, and your input will directly shape future features and interaction styles. We’re particularly interested in how you explore and query research data, whether through natural language tools (like chatbots) or more structured interfaces (like dropdown menus). 🕒 Time commitment: ~15 minutes 🎓 Who can take part: SSH researchers at any career stage, including those with little or no experience with knowledge graphs or query languages By participating, you’ll help guide the next phase of GRAPHIA’s co-design process and ensure it continues to grow around real user needs. 👉 Take the survey by 1 December 2025: https://bit.ly/485FbeN Thank you for contributing to the future of research data interaction! #SSHResearch #DigitalHumanities #OpenScience #CoDesign #AcademicResearch #ResearchTools #GraphTechnologies 

#GRAPHIA recently launched Quagga, a platform developed by our partner Odoma, designed to gather scattered Social Sciences and Humanities (SSH) #KnowledgeGraph resources into one accessible space. In just over a month, the community has already contributed 40 question/query pairs and dozens of natural-language questions. Quagga now catalogues 7 SSH knowledge graphs across diverse disciplines, with strong representation from cultural heritage and museology. Areas like #Musicology, #PerformingArts, and #Linguistics are still missing, and we welcome suggestions to expand the catalogue. We invite researchers, practitioners, and enthusiasts to collaborate on creating a comprehensive benchmark dataset for knowledge graph question answering, a step toward making SSH knowledge graphs more visible and usable. 👉 Explore Quagga https://lnkd.in/dU4XRcEv 👉 Watch a 2-minute guide on how to contribute https://lnkd.in/d8VcYe4E Join us in strengthening the SSH knowledge graph ecosystem - your contributions matter! #SemanticWeb #LinkedData #OpenData #DigitalHumanities #SocialSciences #HumanitiesResearch #ResearchInfrastructure #ScholarlyCommunication #KGQA

D&D and AI: Not just a game anymore! In this clip from our recent workshops days in Zagreb, Croatia, the presenter Danijel Temraz (Infobip) talks about the example of building a Dungeons & Dragons game engine using LLMs. Watch the video that shows going from building simple structured chatbots all the way to complex, reliable agentic systems. 📽️ https://lnkd.in/dSDBZwrD #DungeonsAndDragons #LLM #AgenticAI #ConversationalAI #AI #GRAPHIA #Infobip

How can large language models (#LLMs) and #KnowledgeGraphs work together to make complex data more accessible and useful? In a recent presentation, #GRAPHIA members Matteo Romanello, Luca De Santis and Yann POMIE explored how knowledge graphs can enhance LLM reasoning and factual grounding through structured, validated, and domain-specific knowledge. And how LLMs, in turn, open new ways to explore and interact with knowledge graphs through natural language. 🎥 Watch the full presentation here: https://lnkd.in/dkfJqbdm #AI #SemanticWeb #OpenScience #SSHData

Why is GRAPHIA building a Knowledge Graph? Social sciences and humanities (SSH) data is rich but fragmented. Archives, surveys, heritage sites, geospatial data, publications… each tells part of the story, yet rarely connect. A Knowledge Graph helps bridge those silos, linking entities and their meanings so knowledge can be discovered, understood, and reused across disciplines. As Julien Homo (FoxCub) puts it: “It’s about removing barriers that currently slow down SSH research: silos, incompatible formats, missing links, and unclear provenance. GRAPHIA doesn’t replace existing resources, it connects them.” You can find out more here: https://lnkd.in/dGUEr3iY If you work with SSH data, or have insights into how data, context, and relationships matter – we’d love to hear your perspective. Let’s turn scattered knowledge into an integrated map of meaning. #KnowledgeGraph #SSH #OpenScience #GRAPHIA #LinkedData

🎥 Exploring Co-creation in Action The conversation around experimental, collaborative, and equitable innovation continues — now you can watch the session video that shares a special issue of the CERN IdeaSquare Journal of Experimental Innovation! 👉 https://lnkd.in/gVcSB9_p The special issue on co-creation invites contributions that explore how openness, trust, and inclusion can shape the future of innovation — from methods and prototypes to policy and practice. 📄 Submit your paper by 1 February 2026: https://lnkd.in/dar66Vg6 A huge thank you to Matteo Vignoli, Editor-in-Chief of CIJ, Andrew Dubber and the editorial team for championing this important call. #Innovation #CoCreation #Research #OpenScience #Collaboration #GRAPHIA #CIJ