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

TL;DR

This paper introduces a novel data-centric design paradigm for computational systems, emphasizing a domain model and core ontology to enhance semantic consistency, security, and scalability in data handling.

Contribution

It proposes a new interdisciplinary domain model and ontology that shift from node-centric to data-centric design, promoting interoperability and security.

Findings

Developed an OWL 2 ontology based on the domain model

Demonstrated improved semantic consistency and security

Outlined scalability and future research directions

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.