Organization of Complex Topics in Comprehensive Classification Schemes: Case Studies of Disaster and Security

IF 0.6 4区 管理学 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE
Yejun Wu
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引用次数: 0

Abstract

This research investigates how comprehensive classifications and home-grown classifications organize complex topics. Two comprehensive classifications and two home-grown taxonomies are used to examine two complex topics: disaster and security. The two comprehensive classifications are the Library of Congress Classification and the Classification Scheme for Chinese Libraries. The two home-grown taxonomies are AIRS 211 LA County Taxonomy of Human Services – Disaster Services, and the Human Security Taxonomy. It is found that a comprehensive classification may provide many subclasses of a complex topic, which are scattered in various classes. Occasionally the classification scheme may provide several small taxonomies that organize the terms of a subclass of the complex topic that are pulled from multiple classes. However, the comprehensive classification provides no organization of the major subclasses of the complex topic. The lack of organization of the major subclasses of the complex topic may prevent users from understanding the complex topic systematically, and so preventing them from selecting an appropriate classification term for the complex topic. Ideally a comprehensive classification should provide a high-level conceptual framework for the complex topic, or at least organize the major subclasses in a way that help users understand the complex topic systematically.
综合分类方案中复杂主题的组织:灾难与安全案例研究
本研究探讨综合分类法与自创分类法如何组织复杂主题。两个综合分类和两个本地分类法用于检查两个复杂的主题:灾难和安全。《美国国会图书馆分类法》和《中国图书馆分类方案》是两个综合性的分类法。这两个本土分类法是air 211洛杉矶县人类服务分类法-灾难服务分类法和人类安全分类法。研究发现,一个综合的分类可以为一个复杂的主题提供许多子类,这些子类分散在不同的类中。有时,分类方案可能提供几个小的分类法,这些分类法组织从多个类中提取的复杂主题的子类的术语。然而,综合分类没有提供复杂主题的主要子类的组织。复杂主题的主要子类缺乏组织可能会阻碍用户系统地理解复杂主题,从而阻碍他们为复杂主题选择合适的分类术语。理想情况下,全面的分类应该为复杂主题提供高级概念框架,或者至少以帮助用户系统地理解复杂主题的方式组织主要子类。
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来源期刊
Knowledge Organization
Knowledge Organization INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
1.40
自引率
28.60%
发文量
7
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