Bridging the gap between users and data

Athena Research Center Athens, Greece
Data is considered the 21st century's most valuable commodity growing at an exponential rate. Despite technological advances both in the data exploration and data management domains, our ability to leverage data still falls behind in bridging the chasm between users and data.

Our research emerges at the intersection of data management, natural language processing and deep learning. We are specifically investigating how AI can help us build tools that enable us to seamlessly access different types of data, starting from the lowest level of how to understand data and queries, and learn how to best process user queries, going up the data stack closer to the user, where the goal is to understand user intention and enable a more natural dialogue with the data.

Research Areas


May 25, 2023 Our tutorial titled “Natural Language Interfaces for Databases with Deep Learning” has been accepted at VLDB’23!
Apr 11, 2023 Congratulations to George Katsogiannis for successfully defending his MSc thesis on “SQL Translation from and to Natural Language”!
Mar 28, 2023 We presented a vision paper on NL Data Interfaces at the BigVis Workshop, held in conjunction with EDBT/ICDT 2023.
Mar 6, 2023 Congratulations to our group’s leader, Georgia Koutrika, on winning the EDBT 2023 Test of Time Award for HIL: a high-level scripting language for entity integration!
Jan 23, 2023 Our paper titled “A Survey on Deep Learning Approaches for Text-to-SQL” has been published at the VLDB Journal!

Selected Publications

  1. VLDBJ
    A survey on deep learning approaches for text-to-SQL
    The VLDB Journal
  2. VLDB
    DatAgent: the imminent age of intelligent data assistants
    Proceedings of the VLDB Endowment