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, cutting-edge 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 long-lasting impact of project

results.