Knowledge Graph Construction for Intelligent Media Based on Mobile Internet

Mobile Internet-based intelligent media has become a popular academic topic. This study uses the CiteSpace visualisation tool and Scientific Citation Index Expanded database to comb the existing research in the field of intelligent media from a quantitative perspective. A total of 7248 English paper...

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Vydáno v:Wireless communications and mobile computing Ročník 2022; číslo 1
Hlavní autoři: Dai, Jianhua, Xu, Jingxin
Médium: Journal Article
Jazyk:angličtina
Vydáno: Oxford Hindawi 2022
John Wiley & Sons, Inc
Témata:
Accountability
Algorithms
Artificial intelligence
Bibliometrics
Big Data
Cable TV
Citation analysis
Collaboration
Data mining
Discipline
Documents
Filtering systems
Intelligent systems
Internet
Internet of Things
Knowledge
Knowledge representation
Machine learning
News media
Recommender systems
Research methodology
Social networks
Software
Swarming
Transparency
Trends
User behavior
ISSN:1530-8669, 1530-8677
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Abstract Mobile Internet-based intelligent media has become a popular academic topic. This study uses the CiteSpace visualisation tool and Scientific Citation Index Expanded database to comb the existing research in the field of intelligent media from a quantitative perspective. A total of 7248 English papers were published on the topic of “intelligent media” from 2012 to 2021, and 145 highly cited papers refined were analysed. Scientific knowledge graphs were analysed from six dimensions: annual publication quantity, country of publication, institution of publication, author, keywords, and cited references. In the last 10 years, the research literature on intelligent media has been found to increase annually. Presently, the People’s Republic of China and the United States of America have a high proportion of documents in this field. Chinese universities and institutions have achieved significantly in terms of the quantity and quality of documents. From the perspective of the whole intelligent media discipline, the high-yield author group has not been formed, and there is minimal cooperation amongst authors. Popular intelligent media topics include film, social media, machine learning, swarming motility, data mining, and artificial intelligence. Subject words of the main research directions are event recognition, fake news, Cable News Network model, reconfigurable intelligent surface, comprehensive survey, microblog message, strain sensor, and traffic event. Combined with popular topics and time zone maps, the future research frontier in the field of smart media is identified.
AbstractList Mobile Internet-based intelligent media has become a popular academic topic. This study uses the CiteSpace visualisation tool and Scientific Citation Index Expanded database to comb the existing research in the field of intelligent media from a quantitative perspective. A total of 7248 English papers were published on the topic of “intelligent media” from 2012 to 2021, and 145 highly cited papers refined were analysed. Scientific knowledge graphs were analysed from six dimensions: annual publication quantity, country of publication, institution of publication, author, keywords, and cited references. In the last 10 years, the research literature on intelligent media has been found to increase annually. Presently, the People’s Republic of China and the United States of America have a high proportion of documents in this field. Chinese universities and institutions have achieved significantly in terms of the quantity and quality of documents. From the perspective of the whole intelligent media discipline, the high-yield author group has not been formed, and there is minimal cooperation amongst authors. Popular intelligent media topics include film, social media, machine learning, swarming motility, data mining, and artificial intelligence. Subject words of the main research directions are event recognition, fake news, Cable News Network model, reconfigurable intelligent surface, comprehensive survey, microblog message, strain sensor, and traffic event. Combined with popular topics and time zone maps, the future research frontier in the field of smart media is identified.
Author Dai, Jianhua
Xu, Jingxin
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10.1145/3305260
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10.1609/aimag.v26i2.1810
10.1080/21670811.2018.1493936
10.1177/1461444817712086
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Copyright Copyright © 2022 Jianhua Dai and Jingxin Xu.
Copyright © 2022 Jianhua Dai and Jingxin Xu. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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Snippet Mobile Internet-based intelligent media has become a popular academic topic. This study uses the CiteSpace visualisation tool and Scientific Citation Index...
Mobile Internet‐based intelligent media has become a popular academic topic. This study uses the CiteSpace visualisation tool and Scientific Citation Index...
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SubjectTerms Accountability
Algorithms
Artificial intelligence
Bibliometrics
Big Data
Cable TV
Citation analysis
Collaboration
Data mining
Discipline
Documents
Filtering systems
Intelligent systems
Internet
Internet of Things
Knowledge
Knowledge representation
Machine learning
News media
Recommender systems
Research methodology
Social networks
Software
Swarming
Transparency
Trends
User behavior
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