An Object-oriented Approach to Ontological Engineering of Complex Cyber-physical systems Based on Meta-associative Graphs

This article delves into the pivotal role of cyberphysical systems in the fabric of modern digital and automated environments, serving as a cornerstone of the Industrial Internet of Things and the Industry 4.0 revolution. These systems represent a synthesis of computational algorithms and physical processes, resulting in intelligent, autonomous systems equipped for self-correction and adaptation. The ability of cyber-physical systems to monitor environmental changes, adapt to the physical world, and manage complex tasks marks a significant leap in automating production and ensuring safety in intelligent transportation, among other applications. At the heart of developing and deploying cyber-physical systems is the ontological approach, which employs structured frameworks to delineate the interactions between cyber and physical elements. Ontologies, by categorizing and organizing knowledge, are vital for modeling relationships within cyber-physical systems, enhancing interoperability and communication across various domains. The quasi-hierarchical structure of cyber-physical systems ontologies, where a child node may link to multiple parents, introduces a nuanced representation of complex system interdependencies, surpassing the capabilities of traditional hierarchical models. Ontological engineering for cyber-physical systems merges object-oriented and structural analysis methodologies, focusing on key entity classes and their interrelations to dictate system evolution and behavior. The object-oriented approach divides into structuring data and knowledge, organizing system data, and developing user interfaces that support cyber-physical systems business processes, culminating in a coherent, functional system model. The article posits meta-associative graphs as a superior ontological engineering tool for cyber-physical systems compared to the Web Ontology Language (OWL) and frames, particularly due to their flexibility in representing quasi-hierarchical structures and dynamic relationships. An ontological framework enables developers to create a software instrumental environment where domain experts can independently construct ontologies and business processes, bridging the semantic gap between experts and developers.