Redefining Data-Centric Design: A New Approach with a Domain Model and Core Data Ontology for Computational Systems

• URL: http://arxiv.org/abs/2409.09058v1
• Date: Sun, 1 Sep 2024 22:34:12 GMT
• Title: Redefining Data-Centric Design: A New Approach with a Domain Model and Core Data Ontology for Computational Systems
• Authors: William Johnson, James Davis, Tara Kelly,
• Abstract summary: This paper presents an innovative data-centric paradigm for designing computational systems by introducing a new informatics domain model. The proposed model moves away from the conventional node-centric framework and focuses on data-centric categorization, using a multimodal approach that incorporates objects, events, concepts, and actions.
• Score: 2.872069347343959
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: This paper presents an innovative data-centric paradigm for designing computational systems by introducing a new informatics domain model. The proposed model moves away from the conventional node-centric framework and focuses on data-centric categorization, using a multimodal approach that incorporates objects, events, concepts, and actions. By drawing on interdisciplinary research and establishing a foundational ontology based on these core elements, the model promotes semantic consistency and secure data handling across distributed ecosystems. We also explore the implementation of this model as an OWL 2 ontology, discuss its potential applications, and outline its scalability and future directions for research. This work aims to serve as a foundational guide for system designers and data architects in developing more secure, interoperable, and scalable data systems.

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