Re-examining Aristotle’s Categories as a Knowledge Organization System

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

Abstract

In his Categories, Aristotle details the kinds of being that exist, along with what can be understood and predicated of existing things. Most notably within this work, Aristotle advances a set of ten, top-level categories that can be used to classify all kinds of being. Even today, the influence of the Categories is felt in many domains, particularly in knowledge organization (KO). Here, Aristotle’s Categories bear deep, long-standing connections with works examining categorization, subject analysis, and theory of classification. Though its relation to ontology might seem obvious, connections to KO perspectives on knowledge organization systems (KOSs) and ontological modeling are curiously lacking. The aim of this work is to offer a re-examination of the Categories as a KOS, particularly through the lens of the KO field’s understandings of ontology. Utilizing Zeng’s classification of KOSs as a theoretical framework, this study draws parallels between the first two sections of the Categories and the defining features of ontologies and offers an initial ontological model of this work. The results of this re-examination stand to offer a new view of a fundamental work in the KO canon, draw further connections between past and present perspectives in KO, and further contribute to the theoretical grounding of contemporary KOS research and practice.
作为知识组织体系的亚里士多德范畴再认识
在《范畴》一书中,亚里士多德详细描述了存在的事物种类,以及对存在事物的理解和描述。最值得注意的是,在这部作品中,亚里士多德提出了一套10个顶级类别,可用于对各种存在进行分类。即使在今天,类别的影响在许多领域,特别是在知识组织(KO)中都能感受到。在这里,亚里士多德的《范畴》与研究分类、主体分析和分类理论的著作有着深刻而长期的联系。虽然它与本体的关系似乎很明显,但奇怪的是,与知识组织系统(KOSs)和本体建模的KO观点之间的联系却很缺乏。这项工作的目的是对作为KOS的类别进行重新检查,特别是通过KO领域对本体论的理解。本研究利用曾的KOSs分类作为理论框架,将《分类》的前两部分与本体的定义特征进行比较,并提出了本研究的初步本体模型。这一重新审视的结果将为KO经典的基础工作提供一个新的视角,在KO的过去和现在的观点之间进一步建立联系,并进一步为当代KO研究和实践的理论基础做出贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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