Recent times have seen a growing demand for natural language querying (NLQ) interfaces to retrieve information from the structured data sources such as knowledge bases. Using this interface, business users can directly interact with a database without the knowledge of the query language or the data schema. Our earlier work describes a natural language query engine called ATHENA which has several shortcoming around ease of use and compatibility with data stores, formats and flows. In this demonstration paper, we present a tooling framework to address these challenges so that one can instantiate an NLQ system with utmost ease. Our framework makes it easy and practically applicable to all NLIDB scenarios involving different sources of structured data, file formats, and ontologies to enable natural language querying on top of them with minimal human configuration. We present the tool design and the solution to the challenges towards building such a system and demonstrate its applicability in the medical domain.

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Cited By

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Özcan FLei CQuamar AEfthymiou VBoehm MStoyanovich JWhang S(2021)Semantic enrichment of data for AI applicationsProceedings of the Fifth Workshop on Data Management for End-To-End Machine Learning10.1145/3462462.3468881(1-7)Online publication date: 20-Jun-2021
https://dl.acm.org/doi/10.1145/3462462.3468881
Hao JLei CEfthymiou VQuamar AÖzcan FSun YWang WZhu FChin Ooi BMiao CWang HSkrypnyk IHsu WChawla S(2021)MEDTO: Medical Data to Ontology Matching Using Hybrid Graph Neural NetworksProceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining10.1145/3447548.3467138(2946-2954)Online publication date: 14-Aug-2021
https://dl.acm.org/doi/10.1145/3447548.3467138
Mittal ASaha DJain PSen JJammi MSankaranarayanan K(2021)Bootstrapping Chatbot Interfaces to DatabasesProceedings of the 3rd ACM India Joint International Conference on Data Science & Management of Data (8th ACM IKDD CODS & 26th COMAD)10.1145/3430984.3431011(47-55)Online publication date: 2-Jan-2021
https://dl.acm.org/doi/10.1145/3430984.3431011
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Tooling framework for instantiating natural language querying system
1. Information systems
  1. Data management systems

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Published In

cover image Proceedings of the VLDB Endowment

Proceedings of the VLDB Endowment Volume 11, Issue 12

August 2018

426 pages

ISSN:2150-8097

Editors:
Sihem Amer-Yahia
University of Grenoble Alpes, CNRS
,
Jian Pei
Simon Fraser University

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VLDB Endowment

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Published: 01 August 2018

Published in PVLDB Volume 11, Issue 12

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Özcan FLei CQuamar AEfthymiou VBoehm MStoyanovich JWhang S(2021)Semantic enrichment of data for AI applicationsProceedings of the Fifth Workshop on Data Management for End-To-End Machine Learning10.1145/3462462.3468881(1-7)Online publication date: 20-Jun-2021
https://dl.acm.org/doi/10.1145/3462462.3468881
Hao JLei CEfthymiou VQuamar AÖzcan FSun YWang WZhu FChin Ooi BMiao CWang HSkrypnyk IHsu WChawla S(2021)MEDTO: Medical Data to Ontology Matching Using Hybrid Graph Neural NetworksProceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining10.1145/3447548.3467138(2946-2954)Online publication date: 14-Aug-2021
https://dl.acm.org/doi/10.1145/3447548.3467138
Mittal ASaha DJain PSen JJammi MSankaranarayanan K(2021)Bootstrapping Chatbot Interfaces to DatabasesProceedings of the 3rd ACM India Joint International Conference on Data Science & Management of Data (8th ACM IKDD CODS & 26th COMAD)10.1145/3430984.3431011(47-55)Online publication date: 2-Jan-2021
https://dl.acm.org/doi/10.1145/3430984.3431011
Sen JLei CQuamar AÖzcan FEfthymiou VDalmia AStager GMittal ASaha DSankaranarayanan K(2020)ATHENA++Proceedings of the VLDB Endowment10.14778/3407790.340785813:12(2747-2759)Online publication date: 14-Sep-2020
https://dl.acm.org/doi/10.14778/3407790.3407858
Őzcan FQuamar ASen JLei CEfthymiou VMaier DPottinger RDoan ATan WAlawini ANgo H(2020)State of the Art and Open Challenges in Natural Language Interfaces to DataProceedings of the 2020 ACM SIGMOD International Conference on Management of Data10.1145/3318464.3383128(2629-2636)Online publication date: 11-Jun-2020
https://dl.acm.org/doi/10.1145/3318464.3383128

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