学术资源挖掘方法研究综述  

A Review on Mining Approaches of Academic Resources

作　　者：王颖[1] Wang Ying(National Science Library,Chinese Academy of Sciences,Beijing 100190,China)

机构地区：[1]中国科学院文献情报中心,北京100190

出　　处：《现代情报》2021年第12期164-177,共14页Journal of Modern Information

基　　金：国家社会科学青年基金项目“基于关联数据的学术资源深度挖掘方法研究”(项目编号:15CTQ006)。

摘　　要：[目的/意义]全面系统地对学术资源挖掘方法进行梳理,对比和分析不同挖掘方法,探讨应用和未来发展方向。[方法/过程]通过国内外文献数据库获取学术资源挖掘相关文献,对研究主题进行分析,从研究对象、挖掘维度、采用技术等角度对学术资源挖掘方法进行分类对比和分析,将现有挖掘方法分为纵向挖掘和横向挖掘两个维度,并进一步,探讨学术资源挖掘在学术检索、学术推荐、科技前沿识别与预测等方面的应用情况。[结果/结论]目前学术资源挖掘的主要研究对象仍为学术论文和专利,有待于加强不同类型资源的综合挖掘和跨领域挖掘,并且知识图谱、深度学习、大数据等技术在学术资源挖掘的应用研究还需要进一步突破。[Purpose/Significance]To make a comprehensive and systematic review of academic resource mining methods,the paper compares and analyzes different mining methods,and discusses their application and future development direction.[Method/Process]Based on the search results of literature database on academic resources mining,research topics of these articles was analysed,mining methods from perspectives of research object,mining dimension and mining technology were compared,existing mining methods were divided into two dimensions:vertical mining and horizontal mining,and then the application in academic search and recommendation,research and technology frontier identification and prediction was discussed.[Result/Conclusion]At present,the main research objects of academic resource mining are still academic papers and patents,which need to strengthen the comprehensive mining and cross-domain mining of academic resources,while the application research of knowledge graph,deep learning,big data and other technologies in academic resource mining needs to be further broken through.

关 键 词：学术资源 横向挖掘 纵向挖掘 知识抽取 关联分析 综述 

分 类 号：G250.76[文化科学—图书馆学]