文章摘要

贾君枝.分众分类法与受控词表的结合研究进展[J].中国图书馆学报,2010,36(5):
分众分类法与受控词表的结合研究进展
Overview of Controlled Vocabulary Linking with Folksonomy
  
DOI:
中文关键词: 分众分类法,受控词表,网络知识组织系统
英文关键词: Folksonomy,Controlled vocabulary,Network knowledge organization system
基金项目:本文系山西省人文社科基地项目“山西省农民信息服务研究”(项目编号:20093004)研究成果之一。
作者单位
贾君枝 山西大学管理学院 太原市 030006 
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中文摘要:
      分众分类法与受控词表作为网络知识组织系统的重要构成,对于有效地组织与管理网络资源具有重要作用。区别于受控词表自上而下的构建方式,分众分类法的自下而上、用户为中心的构建特色成为个人信息资源组织的方法之一。受控词表具有词汇规范性、严格性以及语义关系丰富等优点,分众分类法具有丰富的标签资源及用户数据,但也有标签自由性、随意性、不准确性等不足。如何利用二者的优势及时更新、修改、完善受控词表,最终达到二者优化的目标,是研究人员关注的问题。本文在调查国内外大量研究文献的基础上,对目前围绕受控词表与分众分类法的结合研究现状作了全面综述,预测其发展趋势,旨在推动国内在该方面的研究与应用,以综合发挥传统信息组织方法与现代新型信息组织方法的优点,实现对现有中文网络资源的有效管理。参考文献25。
英文摘要:
As parts of network knowledge organization system, folksonomy and controlled vocabulary play an important role in the organization and management of network resources. Folksonomy is constructed by the user centered ways of bottom up to organize the personal information resources while controlled vocabulary is designed by top down ways. The controlled vocabulary is normative and strict and has rich semantic relations to make up the weakness of Folksonomy whose tags are used freely, randomn, and inaccurate. How to take advantage of rich label resources and user data to complete the update, modification, improvement of controlled vocabulary will cause the attention of researchers in order to optimize them. The paper investigates a large number of rpapers both home and abroad and then conducts a comprehensive review to sum up the characteristics of current research to forecast its trend of development, aiming to promote the development of domestic research and application, integrating the advantages of traditional information organization methods with the modern methods and improving the efficiency of management of Chinese network resources. 25 refs.
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