基于自适应特征选择的科研论文跨学科性测度方法研究  

Interdisciplinarity Measurement Method of Scientific Research Papers based on Adaptive Feature Selection

作　　者：王晋飞 孙巍[1,2] 张学福 杨璐[1] WANG Jinfei;SUN Wei;ZHANG Xuefu;YANG Lu(Institute of Agricultural Information,Chinese Academy of Agricultural Sciences,Beijing 100081;Key Laboratory of Agricultural Big Data,Ministry of Agriculture and Rural Affairs,Beijing 100081)

机构地区：[1]中国农业科学院农业信息研究所,北京100081 [2]农业农村部农业大数据重点实验室,北京100081

出　　处：《农业图书情报学报》2023年第3期52-70,共19页Journal of Library and Information Science in Agriculture

基　　金：NSTL文献专项任务基金项目“下一代开放知识服务平台关键技术优化集成与系统研发”(2022XM28)子课题“基于专利的领域技术分析与预测系统集成”;中国农业科学院基本科研业务费专项课题“农业研究热点前沿探测及领域技术布局分析研究”(Y2022ZK07)。

摘　　要：[目的/意义]跨学科研究能够通过知识整合和渗透,创造性地解决自然环境和人类社会中的复杂问题。随着跨学科研究成果的大量增长,跨学科性测度评估变得越来越有必要,如何构建有效的跨学科性测度方法,实现对论文跨学科性综合全面的测度是亟待解决的问题。[方法/过程]本研究首先基于跨学科研究的内涵和特点,从学科属性、知识网络拓扑结构和知识整合文本内容3个维度提取科研论文跨学科性特征指标,并给出特征指标的计算方法;其次,对跨学科性特征指标进行自适应计算,构建一种基于机器学习的跨学科性测度方法;最后,以植物纳米生物技术领域为例进行实证研究,对领域中高跨学科性的论文进行识别和筛选。[结果/结论]本文提出的自适应特征选择能够对跨学科性相关特征指标进行有效筛选,提升结果的可靠性,实现全面、深入的科研论文跨学科性测度。该测度方法避免了定性评估可能会出现的主观性缺陷以及不同测度指标可能出现相互矛盾结果的问题,为跨学科性测度提供新的思路与方向。[Purpose/Significance]Interdisciplinary research can creatively solve complex problems in natural environment and human society through knowledge integration and penetration.With the increase of interdisciplinary research results,the evaluation of interdisciplinarity becomes increasingly necessary.How to establish an effective method for interdisciplinarity measurement and achieve a comprehensive measurement of scientific research papers is an urgent problem to be solved.[Method/Process]Based on the above background,this study takes the data of scientific research papers as the analysis source,deconstructs the interdisciplinarity of scientific research papers from multiple dimensions,constructs the feature set of interdisciplinarity of scientific research papers,and on this basis proposes the method for measuring interdisciplinarity based on the adaptive method of machine learning,and conducts a comprehensive measurement of interdisciplinarity.This study has certain positive significance for researchers to understand the interdisciplinary papers in the field.The work process is as follows:First of all,the basic concepts of interdisciplinarity are sorted out and related concepts are discriminated,and the index of interdisciplinarity of different dimensions is analyzed.Based on the connotation and characteristics of interdisciplinary research,the characteristic index of interdisciplinarity of scientific research papers is extracted from three dimensions:subject attribute,knowledge network topology and knowledge integration text content.Secondly,an interdisciplinarity measurement method based on machine learning is constructed.By analyzing information gain and feature similarity of input indexes and data in feature sets,a feature selection calculation method based on adaptive feature selection is proposed,and the accuracy of feature classification is maximized by machine learning classifier.At the same time,the feature subset that can best express the interdisciplinary is selected based on the adaptive selection of

关 键 词：跨学科性 自适应特征选择 论文测度 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术] G353.1[自动化与计算机技术—计算机科学与技术]