Ontology for Conceptual Modeling: Reality of What Thinging Machines Talk About, e.g., Information
Sabah Al-Fedaghi

TL;DR
This paper develops a diagrammatic-based descriptive ontology for conceptual modeling using philosophical concepts, applied to understanding the nature of information within Thinging Machines methodology.
Contribution
It introduces an interdisciplinary approach to create a practical, diagrammatic ontology for CM, moving away from purely philosophical languages and focusing on real-world applicability.
Findings
Information is about events and existing things.
Information has a subsisting nature carried by other things.
The approach enhances understanding of information in software engineering.
Abstract
In conceptual modeling (CM) as a subdiscipline of software engineering, current proposed ontologies (categorical analysis of entities) are typically established through whole adoption of philosophical theories (e.g. Bunge s). In this paper, we pursue an interdisciplinary research approach to develop a diagrammatic-based ontological foundation for CM using philosophical ontology as a secondary source. It is an endeavor to escape an offshore procurement of ontology from philosophy and implant it in CM. In such an effort, the CM diagrammatic language plays an important role in contrast to dogmatic philosophical languages obsession with abstract entities. Specifically, this paper is about developing a descriptive (in contrast to formal) ontology that a modeler accepts as a supplementary account of reality when using thinging machines (TMs; i.e. a reality that uncovers the ontology of things…
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Taxonomy
TopicsBusiness Process Modeling and Analysis · Service-Oriented Architecture and Web Services · Semantic Web and Ontologies
