摘要
[目的/意义]探讨基于本地学位论文进行数据挖掘和增值服务的可行方式。[方法/过程]以厦门大学学位论文数据和日志数据为基础,结合ECharts可视化组件,开发B/S架构的学位论文数据分析系统,个别项目分析采用Python编程实现。[结果/结论]基于本地学位论文系统可以进行历年研究生入学和毕业人数趋势分析、各专业学制时长对比分析、各专业和院系研究生人数对比分析、学科研究热点分析、学科发展趋势分析、学科发展横向对比分析、学位论文浏览/下载与区域分布分析等。基于本地学位论文系统的各项分析服务可以作为图书馆学科服务和读者服务内容的拓展,为其他本地信息系统拓展服务提供参考模式。
[Purpose/significance]The paper is to explore the ways of data mining and value-added services based on local electronic thesis and dissertations system(LETDS).[Method/process]Based on the backend data and log data of Xiamen University LETDS and combined the ECharts visual component the LETDS of browser/server architecture is developed and individual fields analysis is implemented with Python.[Result/conclusion]The result shows that the following analyses can be done including the trend analysis of the number of postgraduate entrance/graduate over the years the comparative analysis of the length of obtain degree the comparative analysis of the number of graduates in each discipline/faculty research focus analysis of the discipline the trend analysis of the discipline the horizontal comparative analysis of the discipline development and the browsing/downloading number and regional distribution analysis of the thesis and dissertations.The results of the various analyses can be used as an extension of library subject services and reader service and the ways of the various analyses can be referenced to the design and development of next-generation LETDS.
作者
陈和
王爽
许妙娟
Chen He;Wang Shuang;Xu Miaojuan(Xiamen University Library,Xiamen Fujian 361005)
出处
《情报探索》
2020年第4期64-75,共12页
Information Research
基金
福建省中青年教师教育科研基金项目“基于本地博硕士学位论文系统的数据挖掘与可视化模式研究”(项目编号:JZ170312)成果之一。
关键词
本地学位论文
文献计量
数据挖掘
知识图谱
数据可视化
知识服务
local electronic thesis and dissertations
bibliometric
data mining
knowledge graph
data visualization
knowledge services
