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Empirical Methods for Knowledge Evolution across Knowledge Organization Systems

机译：跨知识组织系统的知识演化的经验方法

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摘要

Knowledge organization systems, including classifications, can be evaluated and explained by reference to what is called concept theory, attributing to concepts atomic status as basic elements. There are two ways to test knowledge organization systems; both are means of measuring the efficacy of concept theory in specific situations. These are: 1) analyze how well a system represents its warranted concepts; and, 2) analyze how well individual knowledge organization systems are populated with classified target objects. This paper is an attempt to bring together examples from ongoing research to demonstrate the use of empirical approaches to understanding the evolution of knowledge across time as it is represented in knowledge organization systems. The potential for using knowledge organization as a roadmap for the world of knowledge is revealed in the capability of knowledge organization systems to serve as roadmaps and data-mining tools for the knowledge landscape.
机译：可以通过参考所谓的概念理论来评估和解释包括分类在内的知识组织系统，并将概念原子状态作为基本要素。有两种测试知识组织系统的方法：两者都是衡量概念理论在特定情况下的有效性的手段。它们是：1）分析系统代表其保证概念的程度； 2）分析分类知识目标对象填充个体知识组织系统的情况。本文试图将正在进行的研究中的一些示例放在一起，以证明使用经验方法来理解知识在组织中所代表的时间跨度的演变。知识组织系统用作知识领域的路线图和数据挖掘工具的能力揭示了使用知识组织作为知识世界的路线图的潜力。

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