Article

DGRC AskCal: natural language question answering for energy time series

Authors:

Andrew Philpot,

Jose Luis Ambite,

Eduard HovyAuthors Info & Claims

dg.o '02: Proceedings of the 2002 annual national conference on Digital government research

Pages 1 - 7

Published: 19 May 2002 Publication History

Abstract

Even quite sophisticated users can experience difficulty navigating large collections of data to locate the answers to their queries. We describe AskCal, a system that employs natural language processing, an ontology, a query planner, and various feedback mechanisms to assist a user in refining his or her query and then in executing and visualizing it. We trace several interactions with AskCal in the domain of energy time series, and show how a combination of modalities, including ATN parsing of free-form natural language questions, user modification of predefined template queries, and fall-back parsing by picking out landmark terms, support a wide variety of user queries while reducing user query formulation effort. We illustrate the use of ontology- and data-based feedback mechanisms to guide the user toward regions of the query space where useful data can be found. We show how organizing and harmonizing the metadata into an overarching domain model supports user navigation as well as query planning.

References

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Cited By

Hovy EPhilpot AKlavans JGermann UDavis PPopper SArens YHovy EAgouris P(2003)Extending metadata definitions by automatically extracting and organizing glossary definitionsProceedings of the 2003 annual national conference on Digital government research10.5555/1123196.1123249(1-6)Online publication date: 18-May-2003
https://dl.acm.org/doi/10.5555/1123196.1123249
Hovy EPhilpot AKlavans JGermann UDavis PArens YHovy EAgouris P(2003)Extending metadata definitions by automatically extracting and organizing glossary definitionsProceedings of the 2003 annual national conference on Digital government research10.5555/1123196.1123248(1-1)Online publication date: 18-May-2003
https://dl.acm.org/doi/10.5555/1123196.1123248
Ambite JArens YBourne WDavis PHovy EKlavans JPhilpot APopper SRoss KShih JSommer PTemiyabutr SZadoff L(2002)A portal for access to complex distributed information about energyProceedings of the 2002 annual national conference on Digital government research10.5555/1123098.1123161(1-7)Online publication date: 19-May-2002
https://dl.acm.org/doi/10.5555/1123098.1123161

Index Terms

DGRC AskCal: natural language question answering for energy time series

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dg.o '02: Proceedings of the 2002 annual national conference on Digital government research

May 2002

1234 pages

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Digital Government Society of North America

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Published: 19 May 2002

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dg.o '02

dg.o '02: Digital government research

May 19 - 22, 2002

California, Los Angeles, USA

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Overall Acceptance Rate 150 of 271 submissions, 55%

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Cited By

Hovy EPhilpot AKlavans JGermann UDavis PPopper SArens YHovy EAgouris P(2003)Extending metadata definitions by automatically extracting and organizing glossary definitionsProceedings of the 2003 annual national conference on Digital government research10.5555/1123196.1123249(1-6)Online publication date: 18-May-2003
https://dl.acm.org/doi/10.5555/1123196.1123249
Hovy EPhilpot AKlavans JGermann UDavis PArens YHovy EAgouris P(2003)Extending metadata definitions by automatically extracting and organizing glossary definitionsProceedings of the 2003 annual national conference on Digital government research10.5555/1123196.1123248(1-1)Online publication date: 18-May-2003
https://dl.acm.org/doi/10.5555/1123196.1123248
Ambite JArens YBourne WDavis PHovy EKlavans JPhilpot APopper SRoss KShih JSommer PTemiyabutr SZadoff L(2002)A portal for access to complex distributed information about energyProceedings of the 2002 annual national conference on Digital government research10.5555/1123098.1123161(1-7)Online publication date: 19-May-2002
https://dl.acm.org/doi/10.5555/1123098.1123161

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