How structured knowledge models power semantic systems, enterprise platforms, and next-generation AI applications. Introduction In modern software engineering and artificial intelligence, data alone is not enough. Systems need context, structure, and meaning to make reliable decisions. This is where ontology becomes essential. Ontology in computer science is more than an academic concept—it is a practical framework for organizing knowledge so machines can interpret relationships, reason about information, and produce more accurate outputs. Major enterprise technology leaders such as Salesforce emphasize ontology because structured metadata and domain understanding directly improve personalization, explainability, and decision intelligence. ( salesforce.com ) For developers, architects, and AI engineers, understanding ontology is increasingly important. What Is Ontology in Computer Science? In computer science, ontology is a formal representation of knowledge within a domain .…