中文摘要：

分众分类法近年来引起了图书情报学界的高度关注。选取Web of Science、SCOPUS、Emerald文献数据库为基础数据源,采用文献计量的方法对国际学术界分众分类法领域的文献进行统计与分析。研究结果表明,计算机科学与图书情报学是分众分类法研究中涉及最多的两个学科,并且开始逐渐向工程应用拓展;学科热点主要由个性化服务与推荐、语义网与本体、知识管理与信息检索三个方面构成,语义网和本体是领域中的骨干线索和核心热点,图书馆是领域中增长最迅速的学科关键词。

英文摘要：

Folksonomy attracts the attention of library and information academia recent years. This article selects Web of Science, SCOPUS, Emerald databases as the basic data sources, international academic literatures in domain of folksonomy are counted and analyzed using bibliometric methods. The results show that computer science and library and information science are two most disciplines in folksonomy study, and extend to engineering application; the hotspots compose of personalized services and recommendation,the Semantic Web and ontology,and knowledge management and information retrieval; Semantic Web and ontology are backbone clues and core hotspot of folksonomy studying; and library is the most rapidly growing keyword of folksonomy studying.