期刊文献+

农业领域技术分类体系自动构建研究

Research on Automatic Construction of Technology Classification System in Agricultural Field
下载PDF
导出
摘要 [目的/意义]当今农业科技领域发展迅速,农业领域学科变化多样,现有传统经典的分类体系不适用于当前呈现交叉性融合性发展趋势的农业领域。构建适用于农业发展现状的农业技术分类体系值得关注。[方法/过程]在经典传统分类的基础上,综合多种数据来源,从定性和定量两个视角,结合主题词共现、引文耦合,以及人工调整的方法,构建了一套农业技术分类体系。并从规模、方法、农业学科布局现状和农业领域发展趋势等四个方面阐述了分类的合理性。[结果/结论]本研究提出的农业技术分类方法较为合理,在农业领域有一定的适用性,并就当今农业领域研究发展趋势和分类体系的构建提出了相关建议。 [Purpose/significance]Nowadays,the field of agricultural science and technology is developing rapidly,and the disciplines in the field of agriculture are diverse.However,the existing traditional classic classification system is not suitable for the current agricultural field,which shows the trend of interdisciplinary and integrated development.It is worthy of attention to construct an agricultural technology classification system suitable for the current situation of agricultural development.[Method/process]On the basis of classic traditional classifications,this paper integrates a variety of data sources,and constructs a set of agricultural technology classification system from both qualitative and quantitative perspectives,combined with the methods of subject word co-occurrence,citation coupling,and manual adjustment.This paper further expounds the rationality of classification from four aspects:scale,method,current situation of agricultural discipline layout and development trend of agricultural field.[Result/conclusion]The classification method of agricultural technology proposed in this study is reasonable and has certain applicability in the field of agriculture,and puts forward relevant suggestions on the development trend of current agricultural research and the construction of classification system.
作者 陈欣宇 孙艺伟 贵淑婷 任妮 郭婷 罗瑞 Chen Xinyu;Sun Yiwei;Gui Shuting;Ren Ni;Guo Ting;Luo Rui(Jiangsu Academy of Agriculture Sciences,Nanjing Jiangsu 210014)
出处 《情报探索》 2024年第6期72-78,共7页 Information Research
基金 江苏省农业科学院基本科研业务专项“农业技术分类方法及其对应的技术创新团队结构规律研究”(项目编号:ZX(21)1146)成果。
关键词 学科分类 自动分类 主题词共现 引文耦合 disciplinary classification automatic classification the co-occurrence of subject terms citation coupling
  • 相关文献

参考文献13

二级参考文献180

共引文献213

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部