| 引领江苏发展的未来产业及前沿热点技术研究——以人工智能产业为例 |
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| 引用本文： | 刘媛,杨涛,胡峰,陆丽娜,黄斌.引领江苏发展的未来产业及前沿热点技术研究——以人工智能产业为例[J].科技管理研究,2021(11). |
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| 作者姓名： | 刘媛 杨涛 胡峰 陆丽娜 黄斌 |
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| 作者单位： | 江苏省科学技术情报研究所,河海大学商学院,江苏省科学技术情报研究所,江苏省科学技术情报研究所,江苏省科学技术情报研究所 |
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| 基金项目： | 2019年度江苏省政策引导类计划（软科学研究）“引领江苏发展的未来产业前瞻性技术研究及项目布局建议”（项目编号：BR2019031） |
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| 摘 要： | 本研究通过对发达国家科技发展战略、顶尖咨询机构权威报告、我国重点科技项目布局方向的共词分析遴选出高频词的未来产业领域,根据“对标国际、紧扣国家、立足江苏”的原则将人工智能产业作为引领江苏发展的未来产业。基于2010-2019年WOS核心合集收录的英文文献和CNKI数据库中文核心文献,运用知识图谱方法进行前沿热点技术分析,为江苏下一步发展人工智能产业提供借鉴。结果显示：江苏有基础推动人工智能产业高端化发展;美国和中国成为人工智能领域研究最为活跃的国家;国外人工智能的热点技术为机器人、物联网、特征提取和强化学习,重视对系统、模型和算法的研究,未来向着与大数据、物联网融合的方向发展;国内重视对模糊控制、遗传算法、自然语言处理的研究,未来向教育领域的融合应用、社会治理、5G、人才培养等方向发展。
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| 关 键 词： | 人工智能 知识图谱 前沿热点 |
| 收稿时间： | 2020/6/30 0:00:00 |
| 修稿时间： | 2020/11/8 0:00:00 |
Research on the future industry and hot technology leading the development of Jiangsu Province -- Taking the artificial intelligence industry as an example |
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| Abstract: | This research selects the future industry field of high-frequency words by analyzing the development strategy of science and technology in developed countries, authoritative reports of top consulting agencies, and the layout direction of key science and technology projects in China. According to the principle of "comparing with the international country, keeping close to the country, and based on Jiangsu", the artificial intelligence industry will be the future industry leading the development of Jiangsu. Based on 11846 English documents collected in wos core collection and 4496 Chinese documents in CNKI database, this paper analyzes the hot front technology by using knowledge map method, so as to provide reference for the next development of human intelligence industry in Jiangsu Province.The results show that: Jiangsu has the foundation to promote the high-end development of artificial intelligence industry; the United States and China have become the most active countries in the field of artificial intelligence. The hot technologies of artificial intelligence in foreign countries are robot, Internet of things, feature extraction and reinforcement learningand will develop towards the integration of big data, Internet of things and artificial intelligence in the future; domestic attention to fuzzy control, genetic algorithm, Natural Language Division In the future, the research of science will develop towards the integration and application of education, social governance, 5g, talent training. |
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| Keywords: | Artificial Intelligence Knowledge Map Research Hotspots |
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