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Hjoerland, B.: ¬The methodology of constructing classification schemes : a discussion of the state-of-the-art (2003)
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- Abstract
- Special classifications have been somewhat neglected in KO compared to general classifications. The methodology of constructing special classifications is important, however, also for the methodology of constructing general classification schemes. The methodology of constructing special classifications can be regarded as one among about a dozen approaches to domain analysis. The methodology of (special) classification in LIS has been dominated by the rationalistic facet-analytic tradition, which, however, neglects the question of the empirical basis of classification. The empirical basis is much better grasped by, for example, bibliometric methods. Even the combination of rational and empirical methods is insufficient. This presentation will provide evidence for the necessity of historical and pragmatic methods for the methodology of classification and will point to the necessity of analyzing "paradigms". The presentation covers the methods of constructing classifications from Ranganathan to the design of ontologies in computer science and further to the recent "paradigm shift" in classification research. 1. Introduction Classification of a subject field is one among about eleven approaches to analyzing a domain that are specific for information science and in my opinion define the special competencies of information specialists (Hjoerland, 2002a). Classification and knowledge organization are commonly regarded as core qualifications of librarians and information specialists. Seen from this perspective one expects a firm methodological basis for the field. This paper tries to explore the state-of-the-art conceming the methodology of classification. 2. Classification: Science or non-science? As it is part of the curriculum at universities and subject in scientific journals and conferences like ISKO, orte expects classification/knowledge organization to be a scientific or scholarly activity and a scientific field. However, very often when information specialists classify or index documents and when they revise classification system, the methods seem to be rather ad hoc. Research libraries or scientific databases may employ people with adequate subject knowledge. When information scientists construct or evaluate systems, they very often elicit the knowledge from "experts" (Hjorland, 2002b, p. 260). Mostly no specific arguments are provided for the specific decisions in these processes.
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Hjoerland, B.; Christensen, F.S.: Work tasks and socio-cognitive relevance : a specific example (2002)
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- Date
- 21. 7.2006 14:11:22
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Hjoerland, B.: Theories of knowledge organization - theories of knowledge (2017)
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- Pages
- S.22-36
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Hjoerland, B.: ¬The importance of theories of knowledge : indexing and information retrieval as an example (2011)
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- Date
- 17. 3.2011 19:22:55
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Hjoerland, B.: User-based and cognitive approaches to knowledge organization : a theoretical analysis of the research literature (2013)
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- Date
- 22. 2.2013 11:49:13
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Hjoerland, B.: Classical databases and knowledge organisation : a case for Boolean retrieval and human decision-making during search (2014)
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- Source
- Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
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Hjoerland, B.: Table of contents (ToC) (2022)
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- Date
- 18.11.2023 13:47:22
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Hjoerland, B.: ¬The controversy over the concept of information : a rejoinder to Professor Bates (2009)
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- Date
- 22. 3.2009 18:13:27
