DCAILGSep 1, 2024

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

arXiv:2409.09058v1h-index: 3
Originality Highly original
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This work addresses the challenge of system design and data architecture for computational systems, aiming to provide a foundational guide for designers and architects, though it appears incremental as it builds on existing informatics concepts.

This paper tackles the problem of designing computational systems by introducing a new data-centric paradigm that replaces conventional node-centric frameworks, focusing on semantic consistency and secure data handling through a domain model and core ontology. The result is a foundational approach that enables more secure, interoperable, and scalable data systems for distributed ecosystems.

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.

Foundations

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