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Publication type: Conference paper
Type of review: Peer review (publication)
Title: Building natural language interfaces for databases in practice
Authors: Lehmann, Claude
Gehrig, Dennis
Holdener, Stefan
Saladin, Carlo
Monteiro, João Pedro
Stockinger, Kurt
et. al: No
DOI: 10.1145/3538712.3538744
Proceedings: Proceedings of the 34th SSDBM
Conference details: 34th International Conference on Scientific and Statistical Database Management (SSDBM), Copenhagen, Denmark, 6 - 8 July 2022
Issue Date: 2022
Publisher / Ed. Institution: Association for Computing Machinery
ISBN: 978-1-4503-9667-7
Language: English
Subjects: Natural language interface; User interface; Database querying
Subject (DDC): 005: Computer programming, programs and data
006: Special computer methods
Abstract: Natural language interfaces to databases have recently made substantial progress due to advances in machine learning. Users no longer need technical knowledge to search for insights in their database. However, research is largely focused on increasing the one-shot accuracy, instead of building systems that interact with and guide a user’s search. In this demo, we present Veezoo, an AI-powered data analytics platform that enables users to directly talk to their databases.
Fulltext version: Accepted version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Applied Information Technology (InIT)
Published as part of the ZHAW project: INODE – Intelligent Open Data Exploration (EU Horizon 2020)
NQuest – Natural Language Query Exploration System
Appears in collections:Publikationen School of Engineering

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