基于SciVal的人工智能前沿研究课题检测

Liqun Wen, Yao Lu, Hui Li, Suyan Long, Jiayu Li
{"title":"基于SciVal的人工智能前沿研究课题检测","authors":"Liqun Wen, Yao Lu, Hui Li, Suyan Long, Jiayu Li","doi":"10.1145/3421766.3421799","DOIUrl":null,"url":null,"abstract":"The era of intelligence marked by artificial intelligence is coming. Accurate judgment of research front in AI can influence the policy orientation of AI technology. Based on Scopus database, artificial intelligence related papers between January 1, 2012 and July 1, 2018 were retrieved. SciVal analysis tool was used to identify research fronts in artificial intelligence. The results showed that four research fronts are determined according to the value of topic prominence. Based on the distribution of high-frequency keywords in the four research frontiers, and combined with the relevant literature of artificial intelligence research, the key research contents contained in each front topic were analyzed. United States still rank first in terms of both applied and basic research.","PeriodicalId":360184,"journal":{"name":"Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"11 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Detecting of Research Front Topic in Artificial Intelligence Based on SciVal\",\"authors\":\"Liqun Wen, Yao Lu, Hui Li, Suyan Long, Jiayu Li\",\"doi\":\"10.1145/3421766.3421799\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The era of intelligence marked by artificial intelligence is coming. Accurate judgment of research front in AI can influence the policy orientation of AI technology. Based on Scopus database, artificial intelligence related papers between January 1, 2012 and July 1, 2018 were retrieved. SciVal analysis tool was used to identify research fronts in artificial intelligence. The results showed that four research fronts are determined according to the value of topic prominence. Based on the distribution of high-frequency keywords in the four research frontiers, and combined with the relevant literature of artificial intelligence research, the key research contents contained in each front topic were analyzed. United States still rank first in terms of both applied and basic research.\",\"PeriodicalId\":360184,\"journal\":{\"name\":\"Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture\",\"volume\":\"11 2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3421766.3421799\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3421766.3421799","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

摘要

以人工智能为标志的智能时代正在到来。对人工智能研究前沿的准确判断会影响人工智能技术的政策取向。基于Scopus数据库,检索2012年1月1日至2018年7月1日的人工智能相关论文。使用SciVal分析工具确定人工智能的研究前沿。结果表明,根据主题突出值确定了四个研究前沿。基于四个研究前沿的高频关键词分布,结合人工智能研究的相关文献,对各个前沿课题所包含的重点研究内容进行分析。美国在应用研究和基础研究方面仍然排名第一。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Detecting of Research Front Topic in Artificial Intelligence Based on SciVal
The era of intelligence marked by artificial intelligence is coming. Accurate judgment of research front in AI can influence the policy orientation of AI technology. Based on Scopus database, artificial intelligence related papers between January 1, 2012 and July 1, 2018 were retrieved. SciVal analysis tool was used to identify research fronts in artificial intelligence. The results showed that four research fronts are determined according to the value of topic prominence. Based on the distribution of high-frequency keywords in the four research frontiers, and combined with the relevant literature of artificial intelligence research, the key research contents contained in each front topic were analyzed. United States still rank first in terms of both applied and basic research.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Research on Bank Marketing Behavior Based on Machine Learning Formal Description Approach for Agent-Based Mobile Computing The Research on Mobile Robot Path Routing Based on PID Algorithm CCTV News Broadcast Information Mining: Keyword Extraction Based on Semantic Model and Statistics Visualization Feature Point Matching Based on Four-point Order Consistency in the RGB-D SLAM System
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1