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An Ontology based Dialog Interface to Database

Authors:

Ashish Mittal,

Jaydeep Sen,

Diptikalyan Saha,

Karthik SankaranarayananAuthors Info & Claims

SIGMOD '18: Proceedings of the 2018 International Conference on Management of Data

Pages 1749 - 1752

https://doi.org/10.1145/3183713.3193551

Published: 27 May 2018 Publication History

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Abstract

In this paper, we extend the state-of-the-art NLIDB system and present a dialog interface to relational databases. Dialog interface enables users to automatically exploit the semantic context of the conversation while asking natural language queries over RDBMS, thereby making it simpler to express complex questions in a natural, piece-wise manner. We propose novel ontology-driven techniques for addressing each of the dialog-specific challenges such as co-reference resolution, ellipsis resolution, and query disambiguation, and use them in determining the overall intent of the user query. We demonstrate the applicability and usefulness of dialog interface over two different domains viz. finance and healthcare.

References

[1]

Raquel Fernández, Jonathan Ginzburg, and Shalom Lappin. 2007. Classifying non-sentential utterances in dialogue: A machine learning approach. Computational Linguistics Vol. 33, 3 (2007), 397--427.

Digital Library

Google Scholar

[2]

Matthew Henderson, Blaise Thomson, and Jason D Williams. 2014. The third dialog state tracking challenge. In Spoken Language Technology Workshop (SLT), 2014 IEEE. IEEE, 324--329.

Crossref

Google Scholar

[3]

Fei Li and HV Jagadish. 2014. Constructing an interactive natural language interface for relational databases. Proceedings of the VLDB Endowment Vol. 8, 1 (2014), 73--84.

Digital Library

Google Scholar

[4]

Christopher D Manning, Mihai Surdeanu, John Bauer, Jenny Rose Finkel, Steven Bethard, and David McClosky. 2014. The stanford corenlp natural language processing toolkit. ACL (System Demonstrations). 55--60.

Google Scholar

[5]

Vincent Ng. 2010. Supervised noun phrase coreference research: The first fifteen years Proceedings of the 48th annual meeting of the association for computational linguistics. Association for Computational Linguistics, 1396--1411.

Digital Library

Google Scholar

[6]

Dinesh Raghu, Sathish Indurthi, Jitendra Ajmera, and Sachindra Joshi. 2015. A Statistical Approach for Non-Sentential Utterance Resolution for Interactive QA System 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue, Vol. Vol. 335.

Google Scholar

[7]

Diptikalyan Saha, Avrilia Floratou, Karthik Sankaranarayanan, Umar Farooq Minhas, Ashish R. Mittal, and Fatma Özcan. 2016. ATHENA: An Ontology-driven System for Natural Language Querying over Relational Data Stores. Proc. VLDB Endow. Vol. 9, 12 (Aug. 2016), 1209--1220.

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Google Scholar

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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
Tapsai C(2018)Information Processing and Retrieval from CSV File by Natural Language2018 IEEE 3rd International Conference on Communication and Information Systems (ICCIS)10.1109/ICOMIS.2018.8644947(212-216)Online publication date: Dec-2018
https://doi.org/10.1109/ICOMIS.2018.8644947

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An Ontology based Dialog Interface to Database

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SIGMOD '18: Proceedings of the 2018 International Conference on Management of Data

May 2018

1874 pages

ISBN:9781450347037

DOI:10.1145/3183713

General Chairs:
Gautam Das
University of Texas at Arlington, USA
,
Christopher Jermaine
Rice University, USA
,
Philip Bernstein
Microsoft Research, USA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 27 May 2018

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Ashish Rakeshkumar Mittal

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SIGMOD/PODS '18

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SIGMOD

SIGMOD/PODS '18: International Conference on Management of Data

June 10 - 15, 2018

TX, Houston, USA

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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
Tapsai C(2018)Information Processing and Retrieval from CSV File by Natural Language2018 IEEE 3rd International Conference on Communication and Information Systems (ICCIS)10.1109/ICOMIS.2018.8644947(212-216)Online publication date: Dec-2018
https://doi.org/10.1109/ICOMIS.2018.8644947

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A multimodal dialogue interface for mobile local search

Dialog behaviors across culture and group size

Study on Text-based and Voice-based Dialogue Interfaces for Human-Computer Interactions in a Blocks World

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A multimodal dialogue interface for mobile local search

Dialog behaviors across culture and group size

Study on Text-based and Voice-based Dialogue Interfaces for Human-Computer Interactions in a Blocks World

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