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

EasyChair Preprint 14654

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.

Keyphrases: Data Security, Data-Centric Design, Semantic Interoperability, distributed data ecosystems, ontology development

@booklet{EasyChair:14654,
  author    = {William Johnson and James Davis and Tara Kelly},
  title     = {Redefining Data-Centric Design: a New Approach with a Domain Model and Core Data Ontology for Computational Systems},
  howpublished = {EasyChair Preprint 14654},
  year      = {EasyChair, 2024}}