大数据环境下学位论文价值挖掘与知识服务--以安徽建筑大学为例

Value mining and knowledge service of dissertations under big data environment:taking Anhui Jianzhu University as an example

文章梳理了学位制度的由来,阐述了安徽建筑大学学位论文管理和数据库建设情况,通过分析学位论文数据库建设遇到的问题,提出大数据环境下利用数据挖掘技术增值学位论文的知识服务对策;指出学位论文管理工作重心应向数字化、电子化方向转移,涉密论文应实现流程闭环管理;提出对学位论文内容进行信息挖掘、人才挖掘、热点分析、引文数据分析,对论文写作者进行信息素养提升、写作工具培训等建议。

Reviews the origin of the degree system,expounds the management and database construction of the university’s dissertation system,analyzes the problems encountered in the construction of the dissertation database,and puts forward the countermeasures of using data mining technology to add value to the knowledge of the dissertation system under the environment of Big data.Point out the focus of dissertation management should be shifted to the direction of digitization and electronization,and closed-loop management should be realized for secret-related theses.This paper puts forward some suggestions on information mining,talent mining,hot spot analysis,citation data analysis,information literacy improvement and writing tools training for thesis writers.