Lupascian Non-Negativity Applied to Conceptual Modeling: Alternating Static Potentiality and Dynamic Actuality
Sabah Al-Fedaghi

TL;DR
This paper applies Lupascian non-negativity principles to conceptual modeling, introducing a two-level ontological framework that distinguishes static and dynamic aspects, enhancing the understanding of events and their interactions in software engineering models.
Contribution
It introduces a Lupascian-inspired two-level ontological system for conceptual modeling, integrating static and dynamic levels using potentiality and actuality concepts.
Findings
Strengthens the semantics of static versus dynamic levels in models.
Clarifies the nature of events as phenomena alternating between static and dynamic states.
Re-models UML state machines within the TM framework.
Abstract
In software engineering, conceptual modeling focuses on creating representations of the world that are as faithful and rich as possible, with the aim of guiding the development of software systems. In contrast, in the computing realm, the notion of ontology has been characterized as being closely related to conceptual modeling and is often viewed as a specification of a conceptualization. Accordingly, conceptual modeling and ontology engineering now address the same problem of representing the world in a suitable fashion. A high-level ontology provides a means to describe concepts and their interactions with each other and to capture structural and behavioral features in the intended domain. This paper aims to analyze ontological concepts and semantics of modeling notations to provide a common understanding among software engineers. An important issue in this context concerns the…
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Taxonomy
TopicsSemantic Web and Ontologies · Service-Oriented Architecture and Web Services · Business Process Modeling and Analysis
