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Philosophical reflections on conceptual modeling as communication
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AI
DOI：10.1016/j.datak.2025.102453.png)
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Abstract
En 中文
Conceptual modeling is a complex and demanding task. It is a task centered around the challenge of representing a portion of the world in a way that is objective, understandable, shareable, and reusable by a community of practitioners, who rely on models to design and implement software or to clarify the concepts within a given domain. The difficulty of conceptual modeling stems from the inherent limitations of human representation abilities, which cannot fully capture the infinite richness and diversity of the world, nor the endless possibilities for description enabled by language. Significant effort has been invested in addressing these challenges, particularly in the creation of effective and reusable conceptual models, which have presented numerous difficulties. This paper explores conceptual modeling from a philosophical standpoint, proposing that conceptual models should not be viewed merely as the static representational output of an a priori activity, subject to modification only during a preliminary design phase. Instead, they should be seen as dynamic artifacts that require continuous design, adaptation, and evolution from their inception to their application, which may account for multiple purposes. The paper seeks to highlight the importance of understanding conceptual modeling primarily as an act of communication, rather than just a process of information transmission. It also aims to clarify the distinction between these two aspects and to examine the potential implications of adopting a communicative approach to modeling. These implications extend not only to the tools and methodologies used in modeling but also to the ethical considerations that arise from such an approach.
Keywords:
Conceptual modeling
Information systems design
Conceptual modeling foundations
Philosophical foundations
Journal
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116
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