Prospects for a New General Classification

Author:

Austin Derek

Abstract

In traditional classification schemes, the universe of knowledge is brokeii down into self- contained disciplines which are further analysed to the point at which a particular concept is located. This leads to problems of: (a) currency: keeping the scheme in line with new discoveries. (b) hospitality: allowing room for insertion of new subjects (c) cross-classification: a concept may be considered in such a way that it fits as logically into one discipline as another. Machine retrieval is also hampered by the fact that any individual concept is notated differently, depending on where in the scheme it appears. The approach now considered is from an organized universe of concepts, every concept being set down only once in an appropriate vocabulary, where it acquires the notation which identifies it wherever it is used. It has been found that all the concepts present in any compound subject can be handled as though they belong to one of two basic concept types, being either Entities or Attributes. In classing, these concepts are identified, and notation is selected from appropriate schedules. Subjects are then built according to formal rules, the final class number incorporating operators which convey the fundamental relationships between concepts. From this viewpoint, the Rules and Operators of the proposed system can be seen as the grammar of an IR language, and the schedules of Entities and Attributes as its vocabulary.

Publisher

SAGE Publications

Subject

General Medicine

Reference4 articles.

Cited by 21 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Phenomenon‐based classification: An Annual Review of Information Science and Technology (ARIST) paper;Journal of the Association for Information Science and Technology;2024-01-09

2. The Systems Approach;KNOWLEDGE ORGANIZATION;2022

3. Fiction in a Phenomenon-Based Classification;Cataloging & Classification Quarterly;2021-07-04

4. PRECIS I: Preserved Context Indexing System;Documentation et bibliothèques;2019-01-17

5. Mentefacts as a missing level in theory of information science;Journal of Documentation;2018-08-13

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3