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| Funder | European Commission |
|---|---|
| Recipient Organization | University of London |
| Country | United Kingdom |
| Start Date | Sep 01, 2025 |
| End Date | Aug 31, 2027 |
| Duration | 729 days |
| Number of Grantees | 1 |
| Roles | Coordinator |
| Data Source | European Commission |
| Grant ID | 101203096 |
AI-BRIDGES: Enhancing Cultural Heritage Impact through Generative AI and Linked Open DataAI-BRIDGES addresses the disconnect between Cultural Heritage Institutions (CHIs), Linked Open Data (LOD) platforms like Wikidata, and Generative AI (GenAI), limiting their potential to create a robust, interconnected, responsible and impactful data ecosystem.
The project builds three key bridges to overcome this challenge:1.CHIs and LOD: Developing a low-code/no-code pipeline to streamline CHIs' integration and management of cultural heritage metadata in LOD platforms, reducing technical complexity and improving data accessibility at scale.2.LOD and LLMs: Utilizing Retrieval-Augmented Generation (RAG) to connect LOD platforms with large language models (LLMs), resulting in more accurate, inclusive, and culturally relevant AI outputs aligned with Responsible and Explainable AI practices.3.Users and LOD: Engaging students in participatory data curation to address bias, misinformation, and knowledge gaps in cultural heritage narratives while enhancing digital literacy.AI-BRIDGES will combine interdisciplinary approaches from Digital Humanities (DH), AI, education, and cultural heritage management to create scalable, open-access tools and methodologies that benefit CHIs, researchers, and the public, while advancing the responsible integration of GenAI into the cultural heritage sector.The project is also designed as a career development initiative to help the researcher build interdisciplinary expertise in DH, AI, and cultural heritage data management, facilitating opportunities for significant contributions to the integration of GenAI with LOD platforms.
As an established leader in Open Knowledge and digital education, the fellowship will enable her to make significant contributions to the integration of GenAI with LOD platforms, advancing her career toward founding an innovation center that bridges CHIs, education, and transformative technologies like GenAI.
University of London
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