Ontogenic analysis of knowledge organization systems¶
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Description¶
Ontogenic analysis is the description of how a subject or a set of classes changes in a knowledge organization system over time. The paper identifies it as a research area applied to major systems like the DDC, UDC, and Wikipedia, and illustrates it with visualizations of UDC main-class distributions across editions and of eugenics changing position in the DDC by decade. It states: 'Ontogenic analysis is the description of how a subject changes or a set of classes change a knowledge organization system over time.' The paper observes that such analyses assume a geologic or archaeological time metaphor, treating each edition as a stratum.
Design Implications¶
Context¶
Requirements¶
- A versioned or editioned knowledge organization system whose change history can be traced
Constraints¶
- The paper notes these analyses assume an accretion of meaning and structure over time, a geologic metaphor distinct from Buckland's single-line conception
Target Learners¶
- knowledge organization researchers
Target Learning Goals¶
- understanding semantic change in classification schemes over time
Affordances¶
Claims¶
Related Elements¶
Examples¶
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Key Sources¶
- Tennis, J.T. (2013). Metaphors of time and installed knowledge organization systems: Ouroboros, Architectonics, or Lachesis? Information Research, 18(3) paper C38. http://InformationR.net/ir/18-3/colis/paperC38.html
Page metadata
| Field | Value |
|---|---|
type |
element |
id |
ontogenic-analysis-kos |
title |
Ontogenic analysis of knowledge organization systems |
description |
Ontogenic analysis is the description of how a subject or a set of classes changes in a knowledge organization system over time. |
status |
review |
generated |
by process:wiki-ingest on 2026-09-26 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — tennis-2013 |
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