基于现象的分类:信息科学与技术年度综述》(ARIST)论文

IF 2.8 2区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Claudio Gnoli, Richard P. Smiraglia, Rick Szostak
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引用次数: 0

摘要

虽然书目分类传统上以学科为基础,但合理的替代方法是基于现象的分类。虽然这种方法并不普遍,但 J.D. 布朗、分类研究小组等人在 20 世纪已经对其进行了探索。其原则已在《莱昂宣言》(2007 年)中阐明,目前主要体现在 "基本概念分类法 "和 "综合等级分类法 "等通用方案中。基于现象的分类法列出了现象的类别,包括事物和过程,与研究它们的学科无关(可选择将其指定为附加面)。在基于现象的系统中,面的作用与在学科系统中一样。这种系统将促进识别不同学科研究之间的潜在关系,尤其有利于跨学科工作。本文回顾了基于现象的分类系统的理论、历史、结构、优势、应用和评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Phenomenon-based classification: An Annual Review of Information Science and Technology (ARIST) paper

Phenomenon-based classification: An Annual Review of Information Science and Technology (ARIST) paper

While bibliographic classifications are traditionally based on disciplines, the logical alternative is phenomenon-based classification. Although not prevalent, this approach has been explored in the 20th century by J.D. Brown, the Classification Research Group, and others. Its principles have been stated in the León Manifesto (2007) and are currently represented by such general schemes as the Basic Concepts Classification and the Integrative Levels Classification. A phenomenon-based classification lists classes of phenomena, including things and processes irrespective of the discipline studying them (which can optionally be specified as an additional facet). Facets can work in a phenomenon-based system much as in a disciplinary one. This kind of system will promote the identification of potential relationships between research in different disciplines, and will especially benefit interdisciplinary work. The paper reviews the theory, history, structure, advantages, applications, and evaluation of phenomenon-based classification systems.

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来源期刊
CiteScore
8.30
自引率
8.60%
发文量
115
期刊介绍: The Journal of the Association for Information Science and Technology (JASIST) is a leading international forum for peer-reviewed research in information science. For more than half a century, JASIST has provided intellectual leadership by publishing original research that focuses on the production, discovery, recording, storage, representation, retrieval, presentation, manipulation, dissemination, use, and evaluation of information and on the tools and techniques associated with these processes. The Journal welcomes rigorous work of an empirical, experimental, ethnographic, conceptual, historical, socio-technical, policy-analytic, or critical-theoretical nature. JASIST also commissions in-depth review articles (“Advances in Information Science”) and reviews of print and other media.
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