The Core Data Ontology (CDO) and the Informatics Domain Model represent a transformative approach to computational systems, shifting from traditional node-centric designs to a data-centric paradigm. This paper introduces a framework where data is categorized into four modalities: objects, events, concepts, and actions. This quadrimodal structure enhances data security, semantic interoperability, and scalability across distributed data ecosystems. The CDO offers a comprehensive ontology that supports AI development, role-based access control, and multimodal data management. By focusing on the intrinsic value of data, the Informatics Domain Model redefines system architectures to prioritize data security, provenance, and auditability, addressing vulnerabilities in current models. The paper outlines the methodology for developing the CDO, explores its practical applications in fields such as AI, robotics, and legal compliance, and discusses future directions for scalable, decentralized, and interoperable data ecosystems.

翻译：核心数据本体论与信息学领域模型代表了一种面向计算系统的变革性方法，将传统以节点为中心的设计范式转向以数据为中心的范式。本文引入了一个框架，将数据划分为四种模态：对象、事件、概念与行动。这种四模态结构增强了分布式数据生态系统中的数据安全性、语义互操作性及可扩展性。核心数据本体论提供了一个全面的本体论，支持人工智能开发、基于角色的访问控制以及多模态数据管理。通过聚焦数据的内在价值，信息学领域模型重新定义了系统架构，将数据安全性、溯源性与可审计性置于优先地位，从而应对现有模型中的脆弱性。本文概述了开发核心数据本体论的方法论，探讨了其在人工智能、机器人学及法律合规等领域的实际应用，并讨论了可扩展、去中心化及可互操作的数据生态系统的未来发展方向。