Bridging the gap between users and data

logo created by Vassiliki Siafaka

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 machine (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 23, 2022 Our work has been accepted at the 4th Summit on Gender Equality in Computing, where we will be presenting 4 posters!
Feb 24, 2022 The 1st Greek ACM-W Chapter Winter School on Fairness in AI, co-organized by DARE Lab, starts today!
Jan 12, 2022 Our tutorial on deep learning text-to-SQL systems has been accepted at TWC ‘22!
Dec 24, 2021 Welcome to our new website!

selected publications

    A Deep Dive into Deep Learning Approaches for Text-to-SQL Systems
    In Proceedings of the 2021 International Conference on Management of Data 2021
  2. VLDB
    DatAgent: the imminent age of intelligent data assistants
    Proceedings of the VLDB Endowment 2021