Patent Keyword Analysis of Disaster Artificial Intelligence Using Bayesian Network Modeling and Factor Analysis

Patent Keyword Analysis of Disaster Artificial Intelligence Using Bayesian Network Modeling and Factor Analysis

At present, artificial intelligence (AI) contributes to most technological fields. AI has also been introduced in the disaster area to replace humans and contribute to the prevention of disasters and the minimization of damages. So, it is necessary to analyze disaster AI in order to effectively make...

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Main Authors: Sangsung Park, Sunghae Jun
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Sustainability
Subjects:
bayesian statistics
disaster artificial intelligence
technology analysis
factor analysis
patent keyword analysis
Online Access:https://www.mdpi.com/2071-1050/12/2/505
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spelling doaj-2fca0c41849f4116aad15c9b7c2e89de2020-11-25T01:27:50ZengMDPI AGSustainability2071-10502020-01-0112250510.3390/su12020505su12020505Patent Keyword Analysis of Disaster Artificial Intelligence Using Bayesian Network Modeling and Factor AnalysisSangsung Park0Sunghae Jun1Department of Big Data and Statistics, Cheongju University, Chungbuk 28503, KoreaDepartment of Big Data and Statistics, Cheongju University, Chungbuk 28503, KoreaAt present, artificial intelligence (AI) contributes to most technological fields. AI has also been introduced in the disaster area to replace humans and contribute to the prevention of disasters and the minimization of damages. So, it is necessary to analyze disaster AI in order to effectively make use of it. In this paper, we analyze the patent documents related to disaster AI technology. We propose Bayesian network modeling and factor analysis for the technology analysis of disaster AI. This is based on probability distribution and graph theory. It is also a statistical model that depends on multivariate data analysis. In order to show how the proposed model can be applied to a real problem, we carried out a case study to collect and analyze the patent data related to disaster AI.https://www.mdpi.com/2071-1050/12/2/505bayesian statisticsdisaster artificial intelligencetechnology analysisfactor analysispatent keyword analysis
collection DOAJ
language English
format Article
sources DOAJ
author Sangsung Park
Sunghae Jun
spellingShingle Sangsung Park
Sunghae Jun
Patent Keyword Analysis of Disaster Artificial Intelligence Using Bayesian Network Modeling and Factor Analysis
Sustainability
bayesian statistics
disaster artificial intelligence
technology analysis
factor analysis
patent keyword analysis
author_facet Sangsung Park
Sunghae Jun
author_sort Sangsung Park
title Patent Keyword Analysis of Disaster Artificial Intelligence Using Bayesian Network Modeling and Factor Analysis
title_short Patent Keyword Analysis of Disaster Artificial Intelligence Using Bayesian Network Modeling and Factor Analysis
title_full Patent Keyword Analysis of Disaster Artificial Intelligence Using Bayesian Network Modeling and Factor Analysis
title_fullStr Patent Keyword Analysis of Disaster Artificial Intelligence Using Bayesian Network Modeling and Factor Analysis
title_full_unstemmed Patent Keyword Analysis of Disaster Artificial Intelligence Using Bayesian Network Modeling and Factor Analysis
title_sort patent keyword analysis of disaster artificial intelligence using bayesian network modeling and factor analysis
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2020-01-01
description At present, artificial intelligence (AI) contributes to most technological fields. AI has also been introduced in the disaster area to replace humans and contribute to the prevention of disasters and the minimization of damages. So, it is necessary to analyze disaster AI in order to effectively make use of it. In this paper, we analyze the patent documents related to disaster AI technology. We propose Bayesian network modeling and factor analysis for the technology analysis of disaster AI. This is based on probability distribution and graph theory. It is also a statistical model that depends on multivariate data analysis. In order to show how the proposed model can be applied to a real problem, we carried out a case study to collect and analyze the patent data related to disaster AI.
topic bayesian statistics
disaster artificial intelligence
technology analysis
factor analysis
patent keyword analysis
url https://www.mdpi.com/2071-1050/12/2/505
work_keys_str_mv AT sangsungpark patentkeywordanalysisofdisasterartificialintelligenceusingbayesiannetworkmodelingandfactoranalysis
AT sunghaejun patentkeywordanalysisofdisasterartificialintelligenceusingbayesiannetworkmodelingandfactoranalysis
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