Project Summary
GRAPHIA aims to create the first comprehensive Social Science and Humanities (SSH) Knowledge Graph designed to integrate fragmented data into a unified entry point. The focus will be on disciplines within SSH, which contribute essential knowledge to society influencing culture, economics and ethical decisions among other factors. The project is expected to run from January 2025 to December 2027.
OPERAS coordinates the project with the purpose of significantly improving SSH data visualisation and analysis capacities through pioneering artificial intelligence (AI) solutions. The project addresses gaps in provision that leaves SSH knowledge disconnected and poorly available. This will be accomplished by leveraging AI to create a Knowledge Graph that will deliver an expansive representation of knowledge in the diverse disciplines within SSH. GRAPHIA will empower researchers to uncover patterns and insight from unstructured data, illuminating social phenomena and cultural trends with clarity that is not available in current solutions.
A major highlight of GRAPHIA will be an SSH Citation Index, an innovative framework for citation data extraction and enrichment to accelerate access to previous literature across the range of SSH disciplines. GRAPHIA integrates industry partners into this project to amplify the project’s impact by gaining the perspective and expertise from a range of stakeholders, reflecting the influence of SSH disciplines on society. Such collaboration will motivate innovations that apply to academics while being commercially viable, opening SSH disciplines and solutions to new markets and technologies. GRAPHIA is the signal of its partner organisations commitment to open science and increasing EU research infrastructures capabilities, enhancing global competitiveness, while facilitating broad and long-lasting impact of project results.
GGP is a use case partner in the GRAPHIA project, working alongside GESIS to integrate survey-based social science data into the SSH Knowledge Graph (SSH KG). Our role focuses on:
- Serving as a real-world use case to explore how survey data can be better linked and reused in digital research infrastructures.
- Testing AI-driven tools to track and extract references to GGP datasets and variables in scholarly publications.
- Contributing to metadata standardization, ensuring survey data is more interoperable with other SSH resources.
By participating in GRAPHIA, GGP is helping shape new ways to connect and enhance survey data in the broader digital research ecosystem.
