DataDazzle: Intelligent Data Exploration through Natural Language
For over five decades, enabling non-technical users to access databases without SQL has been a major research focus. Despite recent advances in Text-to-SQL, the primary focus remains on accuracy, often overlooking real-world deployment challenges. This demo presents DataDazzle, a natural language data exploration system. It allows users to query data, review and verify answers, and benefit from recommendations, offering a comprehensive data exploration experience.
Authors
- Georgia Koutrika (ORCID: https://orcid.org/0000-0002-7377-0116)
- George Katsogiannis-Meimarakis (ORCID: https://orcid.org/0000-0001-8285-5827)
- Antonis Mandamadiotis
- Stavroula Eleftherakis (ORCID: https://orcid.org/0000-0001-9527-6920)
- Mike Xydas (ORCID: https://orcid.org/0000-0002-8057-7023)
- Anna Mitsopoulou
- Chris Tsapelas
Institutions
- National and Kapodistrian University of Athens (GR)
- Athena Research and Innovation Center In Information Communication & Knowledge Technologies (GR)
- Université Grenoble Alpes (FR)
Publication Details
- Published
- 2025-06-17
- DOI
- https://doi.org/10.1145/3722212.3725094
- Primary Topic
- Topic Modeling
- Type
- article
- Field-Weighted Citation Impact
- 0.00