| 基于知识图谱的机器学习研究前沿探析 |
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| 引用本文： | 赵玉鹏.基于知识图谱的机器学习研究前沿探析[J].情报杂志,2012,31(4):28-31,13. |
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| 作者姓名： | 赵玉鹏 |
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| 作者单位： | 右江民族医学院社科部 百色533000 |
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| 摘 要： | 机器学习是人工智能的一个前沿分支学科,同时也是实现人工智能的一个重要途径.以机器学习领域内的著名期刊《机器学习》(Machine Learning)和《机器学习研究杂志》(Journal of Machine Learning Research)作为样本,运用多视角引文网络分析CiteSpaceⅡ软件绘制的知识图谱显示出国际机器学习研究的前沿领域是以“数据挖掘”为代表的9个知识群；通过对知识图谱的深度解读,进一步揭示出机器学习研究的前沿演化路径.
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| 关 键 词： | 机器学习 人工智能 知识图谱 CiteSpaceⅡ |
Probing into the Front of Machine Learning Research Based on Knowledge Domain Mapping |
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| ZHAO Yupeng.Probing into the Front of Machine Learning Research Based on Knowledge Domain Mapping[J].Journal of Information,2012,31(4):28-31,13. |
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| Authors: | ZHAO Yupeng |
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| Institution: | ZHAO Yupeng(Department of Social Science,Youjiang Medicine College for Nationality,Baise 533000) |
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| Abstract: | Being the research frontier of artificial intelligence,machine learning is also an important way to realize it.This article selects Machine Learning and Journal of Machine Learning and applies the principle of knowledge domain mapping using the software of CiteSpaceII,then presents the visual patterns of machine learning.The findings reveal the research frontiers and evolutionary path of machine learning. |
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| Keywords: | machine learning artificial intelligence knowledge domain mapping CiteSpaceII |
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