Abstract
Introduction into the structure, contents and specifications (especially the Systematifier) of the Information Coding Classification, developed in the seventies and used in many ways by the author and a few others following its publication in 1982. Its theoretical basis is explained consisting in (1) the Integrative Level Theory, following an evolutionary approach of ontical areas, and integrating also on each level the aspects contained in the sequence of the levels, (2) the distinction between categories of form and categories of being, (3) the application of a feature of Systems Theory (namely the element position plan) and (4) the inclusion of a concept theory, distinguishing four kinds of relationships, originated by the kinds of characteristics (which are the elements of concepts to be derived from the statements on the properties of referents of concepts). Its special Subject Groups on each of its nine levels are outlined and the combinatory facilities at certain positions of the Systematifier are shown. Further elaboration and use have been suggested, be it only as a switching language between the six existing universal classification systems at present in use internationally.
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Notes
For further details see Dahlberg (1974a).
In the UDC with its 10 main classes this lead to subsume e.g. psychology under philosophy—as philosophy had found its position in the system already in 1876 whereas psychology came up by Dilthey only in the nineties of that century.
Translation into German in Dahlberg (1974a, p. 231).
It seems that these differences may be understood by the slow process of revising and developing the system to its full size throughout the years since it was taken over from the DDC by Otlet and LaFontaine in 1895.
For this see my contribution in Dahlberg (1994b).
In this contribution mentioned in Note 5, I distinguished also three other cases of domain interaction, namely (1) Multidisciplinarity, (2) Pluridisciplinarity and (3) Syndisciplinarity. In each case it were not fields which were combined but phenomena, like (1) water, or (2) security, or (3) a nanorobot. In case 1 “water” was looked at from the differing points of view of subject fields, in case 2 “security” was investigated for application in different environments and in case 3 a “nanorobot” was built with the help of experts from differing fields of knowledge.
Editor’s note: These are functionally equivalent to what is called phase relationships in some faceted classification systems.
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Dahlberg, I. The Information Coding Classification (ICC): A Modern, Theory-Based Fully-Faceted, Universal System of Knowledge Fields. Axiomathes 18, 161–176 (2008). https://doi.org/10.1007/s10516-007-9026-8
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DOI: https://doi.org/10.1007/s10516-007-9026-8