[目的/意义]引文网络的主路径分析可以对特定领域的重要文献进行识别，并能实现主流研究线索提取。文章旨在利用主路径分析方法，对知识图谱的研究路径进行分析，梳理其研究发展的脉络。[方法/过程]文章首先从Web of Science平台获取知识图谱领域的研究论文，然后利用HistCite软件生成文献的直接引证网络，再将数据导入到Pajek中，生成该数据集的多条主路径，并结合主路径上论文的内容进行定性分析。[结果/结论]通过主路径分析，可以快速识别出知识图谱领域的一些主路径，如知识图谱的构建、知识图谱在推荐和问答等应用场景中的研究、知识图谱在制造业等特定应用领域的应用研究，折射出知识图谱技术的发展脉络和研究方向。综述性研究在知识图谱领域的发展中扮演了重要角色，为领域内的深入研究提供了基础和方向。
Identifying Research Paths Based on Main Path Analysis:A Case Study of Knowledge Graphs
[Purpose/significance]The main path analysis of citation networks can be used to identify important litera-ture in specific fields and can achieve the extraction of mainstream research threads.This paper will use the main path analysis method to analyze the research path of knowledge graphs and sort out the context of their research devel-opment.[Method/process]This paper firstly obtains research papers in the field of knowledge graphs from the Web of Science platform,then uses the HistCite software to generate a direct citation network of the literature,and then im-ports the data into Pajek to generate multiple main paths of the dataset,and combines the content of the papers on the main paths for qualitative analysis.[Result/conclusion]Through main path analysis,some main paths in the field of knowledge graphs can be quickly identified,such as the construction of knowledge graph,research on the application of knowledge graphs in recommendation and question answering and other application scenarios,research on the ap-plication of knowledge graphs in specific application fields such as manufacturing.These paths reflect the develop-ment context and research direction of knowledge graph technology.Review studies have played an important role in the development of the knowledge.
main path analysiscitation networkknowledge graphPajekresearch method
国家科技期刊平台
NSTL
万方数据
