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Ontological aspects of information modeling

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Abstract

Information modeling (also known as conceptual modeling or semantic data modeling) may be characterized as the formulation of a model in which information aspects of objective and subjective reality are presented (“the application”), independent of datasets and processes by which they may be realized (“the system”).

A methodology for information modeling should incorporate a number of concepts which have appeared in the literature, but should also be formulated in terms of constructs which are understandable to and expressible by the system user as well as the system developer. This is particularly desirable in connection with certain “intimate” relationships, such as being the same as or being a part of.

The conceptual basis for such a methodology, as conventionally approached, seems flavored with notions arising in the systems arena to an inappropriate degree. To counter this tendency it is useful to turn to a discipline not hitherto much involved in technology, namely analytic philosophy.

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  1. Graduate School of Business, University of Chicago, 1101 E. 58th Street, 60637, Chicago, IL, USA

    Robert L. Ashenhurst

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Ashenhurst, R.L. Ontological aspects of information modeling. Mind Mach 6, 287–394 (1996). https://doi.org/10.1007/BF00729802

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