Facet analysis: The logical approach to knowledge organization
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Dokumenter
- Manus as accepted by IPM
Accepteret manuskript, 183 KB, Word-dokument
The facet-analytic paradigm is probably the most distinct approach to knowledge organization within Library and Information Science, and in many ways it has dominated what has be termed ‘‘modern classification theory’’. It was mainly developed by S.R. Ranganathan and the British Classification Research Group, but it is mostly based on principles of logical division developed more than two millennia ago. Colon Classification (CC) and Bliss 2 (BC2) are among the most important systems developed on this theoretical basis, but it has also influenced the development of other systems, such as the Dewey Decimal Classification (DDC) and is also applied in many websites. It still has a strong position in the field and it is the most explicit and ‘‘pure’’ theoretical approach to knowledge organization (KO) (but it is not by implication necessarily also the most important one). The strength of this approach is its logical principles and the way it provides structures in knowledge organization systems (KOS). The main weaknesses are (1) its lack of empirical basis and (2) its speculative ordering of knowledge without basis in the development or influence of theories and socio-historical studies. It seems to be based on the problematic assumption that relations between concepts are a priori and not established by the development of models, theories and laws.
Originalsprog | Engelsk |
---|---|
Tidsskrift | Information Processing & Management |
Sider (fra-til) | 545-557 |
Antal sider | 13 |
ISSN | 0306-4573 |
DOI | |
Status | Udgivet - 15 jan. 2013 |
Bibliografisk note
This is one in a series of articles analyzing theoretical traditions in Knowledge Organization (or Information Organization)
- Det Humanistiske Fakultet
Forskningsområder
Antal downloads er baseret på statistik fra Google Scholar og www.ku.dk
Ingen data tilgængelig
ID: 47036293