Ontology for the Common-Sense Reasoning

Ontology for common-sense reasoning is a structured way to organize knowledge about the world, including concepts, how they relate, and their properties. It acts like a detailed map that helps computers understand and interpret everyday ideas and relationships, such as "dogs are animals" or "burglary involves stealing." This structure enables machines to simulate human-like understanding, making decisions or answering questions more accurately by applying shared, organized knowledge about common concepts and their connections. In essence, it provides a foundational framework for computers to reason about everyday scenarios reliably.