摘要
选择物联网与人工智能领域为对象,基于专利数据,利用融合的专利申请量、技术距离和技术融合度来判断技术融合的情况;利用CiteSpace构建德温特手工代码共现矩阵,绘制共现图谱呈现融合后的知识结构、规律和分布情况;运用文献计量4个指标,探索技术融合后的技术研究现状和未来发展动向,为技术融合的相关研究拓宽思路。结果显示,2个领域间的技术融合在不断加强,图像、语音识别等相关技术是当前的热点技术,语音分析等相关技术可能成为未来的发展趋势。
The article selects the field of internet of things and artificial intelligence as the object,based on the patent data,using the amount of patent application,technical distance and technology fusion degree to judge the situation of technology fusion.We used CiteSpace to construct the Derwent manual code co-occurrence matrix,draw the co-occurrence map and presenting the knowledge structure,laws and distribution of after fusion,used the four indicators of bibliometric to explore the research status and future development trends after technology fusion,and broadened the thinking for the related research of technology fusion.The results show that the technology fusion between the two fields is constantly strengthening.Related technologies such as image and speech recognition are current hotspot technologies,and related technologies such as speech analysis may become the future development trend.
作者
吕一博
韦明
林歌歌
LYU Yibo;WEI Ming;LIN Gege(Faculty of Management and Economics,Dalian University of Technology,Dalian 116024,China;Theinstitute of Science of Science and S&T Management,Dalian University of Technology,Dalian 116024,China)
出处
《科学学与科学技术管理》
CSSCI
CSCD
北大核心
2019年第4期16-31,共16页
Science of Science and Management of S.& T.
基金
国家自然科学基金资助项目(71572026,71632004)
关键词
技术融合
专利
计量指标
共现分析
CITESPACE
物联网与人工智能
technology fusion
patent
bibliometric index
co-occurrence analysis
CiteSpace
internet of things and artificial intelligence
