| 基于专利计量的人工智能技术前沿识别及趋势分析 |
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| 引用本文： | 张振刚,黄洁明,陈一华.基于专利计量的人工智能技术前沿识别及趋势分析[J].科技管理研究,2018(5):36-42. |
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| 作者姓名： | 张振刚 黄洁明 陈一华 |
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| 作者单位： | 华南理工大学 |
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| 基金项目： | 广东省科技计划项目“科技革命与技术预见智库建设”(编号：2016B070702001) |
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| 摘 要： | 以德温特专利数据库(DII)收录的人工智能领域相关专利为数据源,运用专利计量法对专利数据进行时间、地域分布和专利权人分析,展示了人工智能领域研究实力的分布情况;利用信息可视化软件Cite Space绘制人工智能的知识图谱,挖掘出人工智能领域的关键技术、技术热点与前沿领域,并对人工智能的发展趋势进行了分析。
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| 关 键 词： | 专利计量 人工智能知识图谱 CITESPACE |
| 收稿时间： | 2017/5/15 0:00:00 |
| 修稿时间： | 2017/6/5 0:00:00 |
Analysis on the Frontier and Trend of Artificial Intelligence Technology Based on Patent Measurement |
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| Abstract: | Recently, artificial intelligence is generally considered to be one of the technology to subvert the future, so that the research on artificial intelligence in various scientific and technological institutions has reached an unprecedented heat. In this study, we analyze the application time, geographical distribution and patentee of patent data by patent measurement based on the patent data in the field of artificial intelligence which is included in the Derwent Innovations Index (DII) , and show the distribution of R D strength in the field of artificial intelligence. Besides, we use the information visualization software, CiteSpace, to draw the knowledge map which shows the key technology, technical hotspot and frontier in the field of artificial intelligence. Finally, we analyze the development trend of artificial intelligence. |
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| Keywords: | Patent Measurement Artificial Intelligence Knowledge Atlas CiteSpace |
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