EQUA: An AI-Based Approach for Accessing Eurostat Open Data Through Natural Language Queries

Access to public open data, particularly European statistical data, represents a significant challenge for many categories of users, from ordinary citizens to research professionals. This paper presents Eurostat Query Assistant (EQUA), an innovative system based on artificial intelligence that enables querying of Eurostat data through natural language. The system implements a specialized multi-agent architecture for thematic domains (such as demographics, economy, climate, health) and customizes responses based on the user’s profile (citizen, journalist, researcher). Thanks to the integration of domain classification techniques, intelligent dataset selection, and automatic SQL query generation, the system effectively interprets natural language requests. The main contribution of this work lies in the democratization of access to Eurostat data, significantly facilitating the use of these resources and promoting greater transparency and civic participation through open data.