Minds and Machines 6 (3):287-394 (1996)
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.
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Keywords | Information modeling information vs. data knowledge vs. information information systems development semantic data modeling the relational data model the object-oriented paradigm data vs. reality analytic philosophy ontology epistemology |
Categories | (categorize this paper) |
DOI | 10.1007/BF00729802 |
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References found in this work BETA
Naming and Necessity: Lectures Given to the Princeton University Philosophy Colloquium.Saul A. Kripke - 1980 - Cambridge, MA, USA: Harvard University Press.
Individuals: An Essay in Descriptive Metaphysics.Peter Frederick Strawson - 1959 - London, England: Routledge.
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Citations of this work BETA
Ontology-Driven Conceptual Modeling: A Systematic Literature Mapping and Review.Michaël Verdonck, Frederik Gailly, Sergio de Cesare & Geert Poels - 2015 - Applied Ontology 10 (3-4):197-227.
Information Modeling Aspects of Software Development.Timothy R. Colburn - 1998 - Minds and Machines 8 (3):375-393.
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