摘要
[目的/意义]旨在为企业创新提供参考。[方法/过程]利用知识图谱和内容分析法,对专利数据研究的年度变化、国家分布、机构类型、核心作者群等进行分析。[结果/结论]发现专利数据研究主题主要集中在管理对策、技术方法、应用吸纳等方面。管理对策主要从制度、政策、与企业运营的契合以及专利所带来效益等方面进行宏观规制和微观引导;技术方法主要关注超大规模数据处理技术和基于语义本体的数据关联技术;应用吸纳主要研究相关专利在企业应用场景、路径和模式等。
[Purpose/significance]The paper aims to provide references for enterprise innovation.[Method/process]The paper uses mapping knowledge domain and content analysis to analyze the annual number of patent data research,country,organization,core author,etc.[Result/conclusion]The results show that the research topics focus on management and countermeasures,technology and methods,application absorption and so on.Management and countermeasures mainly are carried out based on macro regulation and micro guidance from the aspects of system,policy,and business operation and the benefits brought by patents.The technology and methods focus on ultra-large-scale data processing technology and data association technology based on semantic ontology.The application of the research focus on related patents in enterprise application scenarios,paths and models.
作者
罗贤春
余波
袁冰洁
文庭孝
Luo Xianchun;Yu Bo;Yuan Bingjie;Wen Tingxiao(Law and Public Management School,Jishou University,Jishou Hunan 416000;School of Information Management,Wuhan University,Wuhan Hunan 430000;Jishou University Library,Jishou Hunan 416000;School of Life Science,Central South University,Changsha Hunan 410013)
出处
《情报探索》
2020年第9期109-115,共7页
Information Research
基金
国家社科基金重点项目“面向企业技术创新的专利大数据挖掘与分析研究”(项目编号:16ATQ008)
湖南省教育厅科学研究项目“武陵山民族文化知识图谱研究”(项目编号:17C1338)成果。
关键词
国际专利
专利数据
研究动向
知识图谱
foreign patent
patent data
research trends
subject area
knowledge map