摘要
本文首先介绍了信息过滤的概念及其类型,接着从信息订阅、信息推送、信息阅读几个方面分析了RSS中的信息过滤;从垃圾信息过滤、个人知识管理、个性化主题社区的形成、博客搜索引擎几个方面分析了Blog中的信息过滤;从信息组织体系、信息发布的质量控制、信息向知识的转换几个方面分析了Wiki中的信息过滤;从分众分类、个性化信息聚合、兴趣聚集和共享几个方面分析了社会书签中的信息过滤,最后总结了目前Web2.0环境下信息过滤方式的特点及存在的问题,并提出未来的信息过滤将最终实现语义级的智能信息过滤。
First, this paper introduces conception of the information filtering and it＇s type, and then analyzes information filtering in RSS from information subscription, information push and information read several aspects, meanwhile, it analyzes information filtering in Blog from trash information filtering, Personal knowledge management, the personalized subject community＇s formation and Blog search engine several aspects,and analyzes information filtering in Wiki from system of information organization, The quality control of information dissemination and the conversion from information to knowledge several aspects, and analyzes information filtering in social bookmarks from Folksonomy, personalized information aggregation, Interest gathering and sharing aspects, finally, summarizes characteristics and existing problems of the way of information filtering under Web2.0, and proposes that future＇s information filtering will realize the semantic level intelligent information filtering.
出处
《图书情报知识》
CSSCI
北大核心
2008年第6期100-104,共5页
Documentation,Information & Knowledge
基金
国家社会科学基金项目"基于WEB2.0的企业信息资源组织与集成管理研究"(06BTQ019)的研究成果之一
