摘要
参照网站IA和网站开发的一般步骤,提出网站信息分类体系优化方法。该方法可分为分析、评价、设计和实现四个阶段,并将设计阶段分为特征优化、粒度和命名优化、结构优化等环节。各环节优化时,分别可采用自顶向下特征优化方法、粗粒度优先的粒度优化方法、基于统计的命名优化方法、自底向上逐层结构优化方法。最后,应用提出的方法对国家林业局网站现有信息分类体系进行优化。
According to the general steps of website＇ s information architechture（IA） and the general steps of website development, the paper puts forward a method for optimizing websites＇ information classification （WIC）. The method has four steps which are analysis, assessing, designing and implementation. The designing step can be divided into four phases which are feature optimizing, granularity optimizing, name optimizing and structure optimizing. For optimizing WIC, the paper brings up a top-down feature optimizing method, a granularity optimizing method which selects the biggest granularity firstly, a name optimizing method which take advantage of statistics, and a structure optimizing method which optimizes the WIC structure level by level. At last, the paper applies the method to optimize Chinese State Forestry Administration website.
出处
《图书情报工作》
CSSCI
北大核心
2010年第10期117-120,共4页
Library and Information Service
基金
徐州师范大学博士学位教师科研支持项目"网络信息分类体系重构方法与系统的研究"(项目编号:09XLR28)
一般项目"网站信息分类体系敏捷重构方法研究"(项目编号:09XLB11)研究成果之一
关键词
优化
信息分类体系
网站
optimizing information classification website
