Using Faceted Classification To Provide Structure For Information Architecture
Using Faceted Classification To Provide Structure For Information Architecture
复制标题
使用分面分类为信息架构提供结构
DOI：
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发表时间：
2003
期刊：
影响因子：
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通讯作者：
William Washington
中科院分区：
文献类型：
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作者：
Aaron Louie;Eric Maddox;William Washington
有效的信息架构（IA）映射到不断变化的实际人类系统的结构。因此，信息系统的IA也必须适应变化。在图书馆学中，人类实际知识的表示是由分类结构（如叙词表和分类系统）捕获的。一维分类法，如杜威分类法或美国国会图书馆分类法，不适合这种变化。然而，刻面分类系统（FCS），它本质上是一个多维分类法，可以更接近地模仿实际知识的结构。我们已经开发了一个原型工具（基于开源技术，如Linux、MySQL、Python和Zope），它可以管理FCS，使用分类系统管理文档，并在网站上发布这些文档，使用分类系统构建站点地图。FCS还支持同义词库属性，并可用于多种信息检索任务。
Effective information architecture (IA) is mapped to the structure of actual human systems, which are constantly changing. Thus, the IA of an information system must be hospitable to change as well. The representation of actual human knowledge is, in library science, captured by taxonomic structures, such as thesauri and classification systems. One-dimensional taxonomies, such as the Dewey Decimal Classification System or Library of Congress Classification System are inhospitable to such change. However, a faceted classification system (FCS), which is essentially a multi-dimensional taxonomy, can mimic more closely the structure of actual knowledge. We have developed a prototype tool (based on open source technologies, such as Linux, MySQL, Python, and Zope) that can manage a FCS, manage documents using that classification system, and publish those documents on a web site, using the classification system to construct the site map. The FCS also supports thesaurus attributes, and can be used in multiple information retrieval tasks.