research-article

An NLP-based Question Answering Framework for Spatio-Temporal Analysis and Visualization

Authors:

Zhengcong Yin,

Chong Zhang,

Daniel W. Goldberg,

Sathya PrasadAuthors Info & Claims

ICGDA '19: Proceedings of the 2019 2nd International Conference on Geoinformatics and Data Analysis

Pages 61 - 65

https://doi.org/10.1145/3318236.3318240

Published: 15 March 2019 Publication History

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Abstract

A spatio-temporal analysis system is becoming critical in many disciplinaries to acquire, analyze, and visualize data. However, conducting spatio-temporal analysis often requires certain levels of domain knowledge and experience: on one hand, sophisticated and domain-specific software design makes the analysis difficult for public users; on the other hand, conveying findings from the analysis could result in ineffectiveness and inefficiencies. In this work, we present a Natural Language Processing (NLP)-enabled Question Answering (QA) framework for spatio-temporal analysis and visualization. It allows users to conduct spatio-temporal analysis by speaking or typing questions. Interactive visualization component in the framework creates better communication between insights and users. We use a dataset from the domain of climate science as a case study to demonstrate the framework. The case study is evaluated through a mid-size software company, and great feedback was received. With the microservice architecture in it, the framework is general enough to be applied in a variety of applications and domains.

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Asiya Rahima AAmalraj AShanofer GTamizharasan SGanapathy DArun Rathnaraj C(2024)Geo Spatial Query System Using Quantum NLPReal-World Applications of Quantum Computers and Machine Intelligence10.4018/979-8-3693-3601-4.ch008(105-120)Online publication date: 30-Jun-2024
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Li DZhao YWang ZJung CZhang Z(2024)Large Language Model-Driven Structured Output: A Comprehensive Benchmark and Spatial Data Generation FrameworkISPRS International Journal of Geo-Information10.3390/ijgi1311040513:11(405)Online publication date: 10-Nov-2024
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An NLP-based Question Answering Framework for Spatio-Temporal Analysis and Visualization

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Published In

ICGDA '19: Proceedings of the 2019 2nd International Conference on Geoinformatics and Data Analysis

March 2019

156 pages

ISBN:9781450362450

DOI:10.1145/3318236

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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Department of Informatics, University of Oslo

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 March 2019

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ICGDA 2019

ICGDA 2019: 2019 2nd International Conference on Geoinformatics and Data Analysis & 2019 2nd International Conference on Software and Services Engineering

March 15 - 17, 2019

Prague, Czech Republic

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Cited By

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Asiya Rahima AAmalraj AShanofer GTamizharasan SGanapathy DArun Rathnaraj C(2024)Geo Spatial Query System Using Quantum NLPReal-World Applications of Quantum Computers and Machine Intelligence10.4018/979-8-3693-3601-4.ch008(105-120)Online publication date: 30-Jun-2024
https://doi.org/10.4018/979-8-3693-3601-4.ch008
Li DZhao YWang ZJung CZhang Z(2024)Large Language Model-Driven Structured Output: A Comprehensive Benchmark and Spatial Data Generation FrameworkISPRS International Journal of Geo-Information10.3390/ijgi1311040513:11(405)Online publication date: 10-Nov-2024
https://doi.org/10.3390/ijgi13110405
Mansourian AOucheikh R(2024)ChatGeoAI: Enabling Geospatial Analysis for Public through Natural Language, with Large Language ModelsISPRS International Journal of Geo-Information10.3390/ijgi1310034813:10(348)Online publication date: 1-Oct-2024
https://doi.org/10.3390/ijgi13100348
Gu ZLi WZhou BWang YChen YYe SWang KGu HKang Y(2024) GISphere Knowledge Graph for Geography Education: Recommending Graduate Geographic Information System/Science Programs Transactions in GIS10.1111/tgis.13283Online publication date: 3-Dec-2024
https://doi.org/10.1111/tgis.13283
Li DZhang ZAlizadeh BZhang ZDuffield NMeyer MThompson CGao HBehzadan A(2023)A reinforcement learning-based routing algorithm for large street networksInternational Journal of Geographical Information Science10.1080/13658816.2023.227997538:2(183-215)Online publication date: 11-Dec-2023
https://doi.org/10.1080/13658816.2023.2279975
Tyagi NBhushan B(2023)Natural Language Processing (NLP) Based Innovations for Smart Healthcare Applications in Healthcare 4.0Enabling Technologies for Effective Planning and Management in Sustainable Smart Cities10.1007/978-3-031-22922-0_5(123-150)Online publication date: 26-Feb-2023
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Papadakis GMandilaras GMamoulis NKoubarakis M(2022)Static and Dynamic Progressive Geospatial InterlinkingACM Transactions on Spatial Algorithms and Systems10.1145/35100258:2(1-41)Online publication date: 22-Apr-2022
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Franciscatto MFabro MTrois CCabot JGonçalves LHong JBures MPark JCerny T(2022)Querying multidimensional big data through a chatbot systemProceedings of the 37th ACM/SIGAPP Symposium on Applied Computing10.1145/3477314.3507692(381-384)Online publication date: 25-Apr-2022
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Stock KJones CTenbrink T(2022)Speaking of location: a review of spatial language researchSpatial Cognition & Computation10.1080/13875868.2022.209527522:3-4(185-224)Online publication date: 19-Jul-2022
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Habib MFaris MAlomari AFaris H(2021)AltibbiVec: A Word Embedding Model for Medical and Health Applications in the Arabic LanguageIEEE Access10.1109/ACCESS.2021.31156179(133875-133888)Online publication date: 2021
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