| 知识图谱发展与构建的研究进展 |
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| 引用本文： | 朱木易洁,鲍秉坤,徐常胜. 知识图谱发展与构建的研究进展[J]. 南京气象学院学报, 2017, 9(6): 575-582 |
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| 作者姓名： | 朱木易洁 鲍秉坤 徐常胜 |
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| 作者单位： | 中国科学院自动化研究所 模式识别国家重点实验室, 北京, 100190,中国科学院自动化研究所 模式识别国家重点实验室, 北京, 100190,中国科学院自动化研究所 模式识别国家重点实验室, 北京, 100190 |
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| 基金项目： | 国家自然科学基金（61572503、61432019）；北京市自然科学基金（4152053） |
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| 摘 要： | 近年来知识图谱技术引起了广泛的关注和研究，本文介绍了近期知识图谱的发展、构建方法、详细的构建过程，并对知识图谱在交叉学科领域的应用和未来的研究方向做了总结.本文详细介绍了构建文本知识图谱、视觉知识图谱、多模态知识图谱的关键技术，比如信息提取、知识融合、知识表示等.作为知识工程的重要组成部分，知识图谱，尤其是多模态知识图谱的发展对大数据时代的高效知识管理、知识获取、知识共享有着重要的意义.
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| 关 键 词： | 知识图谱 语义网 自然语言处理 视觉知识图谱 多模态 |
| 收稿时间： | 2017-08-28 |
Research progress on development and construction of knowledge graph |
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| ZHU Muyijie,BAO Bingkun and XU Changsheng. Research progress on development and construction of knowledge graph[J]. Journal of Nanjing Institute of Meteorology, 2017, 9(6): 575-582 |
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| Authors: | ZHU Muyijie BAO Bingkun XU Changsheng |
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| Affiliation: | National Lab of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190,National Lab of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190 and National Lab of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190 |
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| Abstract: | Knowledge graph technology is widely concerned and studied during recent years,in this paper we introduce the construction methods,recent development of knowledge graph in details,we also summarize the interdisciplinary applications of knowledge graph and future directions of research.This paper details the key technologies of textual,visual and multi-modal knowledge graph,such as information extraction,knowledge fusion and knowledge representation.As an important part of the knowledge engineering,knowledge graph,especially the development of multi-modal knowledge graph,is of great significance for efficient knowledge management,knowledge acquisition and knowledge sharing in the era of big data. |
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| Keywords: | knowledge graph semantic network natural language processing visual knowledge graph multi-modal |
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