[1]王 婷*,何松泽,杨 川.知识图谱相关方法在脑科学领域的应用综述[J].计算机技术与发展,2022,32(11):1-7.[doi:10. 3969 / j. issn. 1673-629X. 2022. 11. 001]
　WANG Ting*,HE Song-ze,YANG Chuan.An Application Review of Knowledge Graph Related Methods in Field of Human Brain Science[J].,2022,32(11):1-7.[doi:10. 3969 / j. issn. 1673-629X. 2022. 11. 001]
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知识图谱相关方法在脑科学领域的应用综述()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
32
期数:
2022年11期
页码:
1-7
栏目:
综述
出版日期:
2022-11-10

文章信息/Info

Title:
An Application Review of Knowledge Graph Related Methods in Field of Human Brain Science
文章编号:
1673-629X(2022)11-0001-07
作者:
王 婷* ; 何松泽; 杨 川
成都信息工程大学 计算机学院,四川 成都 610225
Author(s):
WANG Ting* ; HE Song-ze; YANG Chuan
School of Computer Science,Chengdu University of Information Technology,Chengdu 610225,China
关键词:
知识图谱; 自然语言处理; 脑科学; 机器学习; 深度学习
Keywords:
knowledge graph; natural language processing; brain science; machine learning; deep learning
分类号:
TP391. 1
DOI:
10. 3969 / j. issn. 1673-629X. 2022. 11. 001
摘要:
随着脑科学相关问题的研究逐年增长,与脑科学领域的相关文本信息越来越多。 由此,如何利用知识图谱技术实现脑科学领域知识的集成、分析、挖掘与再利用受到了研究者们的关注。 为了解目前知识图谱的方法在脑科学领域的应用状况,通过调研现有相关文献,有如下总结:在方法应用上,知识图谱的相关方法在脑科学领域的应用主要集中在实体以及实体关系抽取上,很少被用于后续的数据挖掘与推理;在平台的构建上,存在着平台缺乏良好维护的问题;而在认知功能脑知识图谱上,大多都是与脑灰质相关,未能很好地联系到脑白质,忽略了脑白质所处的作用。 此外,该文简述了现有利用知识图谱相关技术所构建的应用与工具,并对比分析了它们的优缺点。 综合以上调研,针对脑科学领域的知识图谱应用与发展,提出对未来的展望。
Abstract:
As the research on brain science - related issues grows year by year, more and more relevant literature in the field of brainscience. Therefore,how to use knowledge graph technology to realize the integration,analysis,mining and reuse of literature knowledgein the brain science field has attracted the attention of researchers. In order to understand the application status of? ?the current knowledgegraph method in the field of brain science,the following summary is made by investigating the existing relevant literature. First of all,from an application perspective,? ?the application of knowledge graph in the field of brain science mainly focuses on entity and entity relationship extraction,and is rarely used for subsequent data mining and reasoning at? ? ?the current stage. In the construction of the platform,there is a lack of good maintenance of the platform. On the cognitive function brain knowledge map,most of them are related to the graymatter of the brain,and fail to take the white matter into consideration which ignores the role of the white matter in human cognition.Secondly,we briefly describe the current applications and tools constructed by using knowledge graph-related technologies,and analyzeand compare their advantages and disadvantages. Finally,for the construction and development of knowledge graphs in the field of brainscience,we propose a prospect for the future.

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更新日期/Last Update: 2022-11-10