Résumé des résultats (Abstract)
(Anglais)
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Social Sciences and Humanities (SSH) provide essential knowledge to society, informing our shared cultural, economical and ethical
decisions. However, SSH knowledge remains largely disconnected and poorly available, impeding its full potential in research and
societal applications. The GRAPHIA project aims to build the first comprehensive SSH Knowledge Graph (KG) that integrates currently
disconnected data into a single entry point, leveraging existing infrastructure and data resources. GRAPHIA aspires to significantly
improve SSH data visualisation and analysis capacities, pioneer advanced AI solutions tailored for SSH and develop re-usable, cuttingedge
digital tools. GRAPHIA addresses the unique opportunities posed by the qualitative, diverse and context-rich data typical of
SSH research where existing solutions fall short. GRAPHIA's innovative approach, centered around the KG, provides an expansive
representation of SSH knowledge, while leveraging AI for its enrichment, access and deeper analysis, including an LLM4SSH.
GRAPHIA aims to empower researchers to uncover patterns and insights from unstructured data, illuminating social phenomena and
cultural trends with unprecedented clarity. A key component of GRAPHIA is the SSH Citation Index, an innovative framework for citation
data extraction and enrichment across all SSH disciplines that dramatically speeds up access and understanding of previous literature
on any topic. GRAPHIA transcends traditional research approaches by integrating industry partners into a cohesive partnership, which
is pivotal to amplify the project's impact, drive forward innovations that are not only academically significant but also commercially
viable, provide access to new markets and technologies and foster an environment of co-innovation. GRAPHIA is committed to open
science and increasing EU Research Infrastructures capabilities, enhancing global competitiveness, while facilitating broad and longlasting
impact of project results.
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