科研人员画像构建方法研究  

Research on the Researcher Profile Method

作　　者：王东 李青[1] 张志刚[1] 王卓昊 Wang Dong;Li Qing;Zhang Zhigang;Wang Zhuohao(Institute of Scientific and Technical Information of China,Beijing 100038)

机构地区：[1]中国科学技术信息研究所,北京100038

出　　处：《情报学报》2022年第8期812-821,共10页Journal of the China Society for Scientific and Technical Information

摘　　要：在大数据时代,科研人员的各类信息往往分散在多个“数据孤岛”上,导致信息的利用程度不高。因此,本文将用户画像技术引入科研管理中,通过对分散的数据进行整合和挖掘,提出科研实体抽取模型以及科研属性标签抽取模型,进而构建出科研人员特有的画像,有助于全面、直观地了解科研人员,在提高科研管理效率和水平、优化科研人员评价机制等方面具有重要意义。In the era of big data,all kinds of information on researchers are often scattered in several so-called isolated da‐ta islands,leading to the low utilization of information.Therefore,this study introduces user profile technology into re‐search management by integrating and mining the scattered data and proposing research entity extraction and research attri‐bute tag extraction models to build a unique profile of research personnel.Such a profile helps in understanding research personnel comprehensively and intuitively and is important for improving efficiency and the level of research manage‐ment,as well as optimizing the evaluation mechanism of research personnel.

关 键 词：科研人员画像 用户画像 自然语言处理 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] G316[自动化与计算机技术—计算机科学与技术]