软件导刊2025，Vol.24Issue(3)：86-91,6.DOI:10.11907/rjdk.241092
基于研究领域的论文相似性评估方法
Similarity Evaluation Method for Papers Based on Research Fields
摘要
Abstract
Every year,a large number of papers spanning different fields are published,some of which delve into specific areas for in-depth analysis,while others involve interdisciplinary fields.Although the research areas of these papers provide guidelines for understanding their topics,many researchers mainly rely on natural language processing techniques to evaluate the similarity of papers,ignoring the inherent im-portance of the research areas.To this end,an innovative method for quantifying paper similarity is proposed based on the utilization of re-search fields and their interrelationships.Firstly,describe a paper using a set of 4-level vectors constructed from relevant research fields;Next,introduce a correlation matrix to clarify the interrelationships between these fields,and finally evaluate the similarity between the paper representation vector and other paper representation vectors to calculate the paper similarity.The experiment shows that the proposed method has significant advantages in the dataset of open academic graph,providing a new method for the similarity of research papers in the field.关键词
研究领域/论文相似度/关系矩阵/论文表示Key words
field of study/paper similarity/relevance matrix/paper representation分类
信息技术与安全科学引用本文复制引用
马健兵,陈柯..基于研究领域的论文相似性评估方法[J].软件导刊,2025,24(3):86-91,6.基金项目
四川省重点研发计划项目(2021YFG0345) （2021YFG0345）
