知识图谱技术最新研究综述

Y. Wu, Xue-feng Fu, Lichen Xu, Z. Jiang
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引用次数: 1

摘要

近年来,随着认知智能技术的深入发展,知识图谱及其相关技术也取得了突破,具体体现在知识图谱的构建、推理和计算技术等方面。本文在全面阐述知识图的定义和讨论知识图技术发展历史的基础上,围绕知识图中的知识表示学习和知识提取两大技术,总结了目前的科学研究进展。本文对两种技术的优缺点进行了辨析,并为该技术的后续研究和改进指明了方向。最后,对知识图谱技术的未来研究方向进行了总结和展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Summary of the Latest Research on Knowledge Graph Technology
In recent years, with the in-depth development of cognitive intelligence technology, knowledge graph and its related technologies have also made breakthroughs, specifically reflected in the construction of knowledge graph, reasoning and computing technology. On the basis of a comprehensive description of the definition of knowledge graph and the discussion of the development history of knowledge graph technology, this paper summarizes their current scientific research progress around the two major technologies of knowledge representation learning and knowledge extraction in knowledge graph. This paper discriminates the advantages and disadvantages of the two technologies, and points out the direction for the follow-up research and improvement of the technology. Finally, the paper makes a summary and prospect of the future research direction of knowledge graph technology.
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