摘要
随着大数据时代的到来,学术相关数据呈指数增长趋势。同时,用来刻画用户行为的用户画像,近期在各个领域得到了广泛应用。通过分析挖掘与学者相关的学术数据,可以对学者进行全方位、高精度的画像构建,这对研究学者的学术行为有重要的作用。本文介绍了"智慧校园"学者画像系统及系统的相关技术点与功能特色,并将其与其他主流学者画像系统进行对比分析。结果显示,该系统在研究学者的学术谱系、研究脉络等方面存在一定的优势与特色。
With the arrival of the era of big data, the academic data shows an exponential growth trend. At the same time, as a modeling method of user, user profile has been widely used in various fields recently. By analyzing and mining academic data related to scholars, we can construct a full-scale and accurate profile for scholar, which plays an important role in researching scholars' academic behavior. This paper introduces not only the scholar profile system smart campus, but also its key methods and functional features. And we compare it with other mainstream scholar profile systems. The result shows that the system has certain advantages and characteristics such as the scholars' academic pedigree and relative research.
作者
彭程程
吴斌
PENG ChengCheng;WU Bin(Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing 100876, China)
出处
《数字图书馆论坛》
CSSCI
2019年第2期2-11,共10页
Digital Library Forum
关键词
学者画像
用户画像
学术谱系
六度搜索
Scholar Profile
User Profile
Scholar Genealogy
Six Degree Search
