Extraction and Evaluation of Knowledge Entities from Scientific Documents

作     者：Chengzhi Zhang Philipp Mayr Wei Lu Yi Zhang 

作者机构：Nanjing University of Science and TechnologyChina GESIS-Leibniz-Institute for the Social SciencesGermany Wuhan UniversityChina University of Technology Sydney(UTS)Australia 

出 版 物：《Journal of Data and Information Science》 (数据与情报科学学报（英文版）)

年 卷 期：2021年第6卷第3期

页      面：1-5页

核心收录：

学科分类：1205[管理学-图书情报与档案管理] 12[管理学] 120501[管理学-图书馆学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 120502[管理学-情报学] 

基　　金：EEKE community 

主　　题：knowledge Entities field. 

摘      要：As a core resource of scientific knowledge,academic documents have been frequently used by scholars,especially newcomers to a given *** the era of big data,scientific documents such as academic articles,patents,technical reports,and webpages are *** rapid daily growth of scientific documents indicates that a large amount of knowledge is proposed,improved,and used(Zhang et al.,2021).