Description: Ontology-Based Models are structures that use ontologies to represent knowledge in an organized and structured manner. An ontology, in this context, is a formal set of concepts within a domain and the relationships between them. These models enable interoperability between different systems and facilitate understanding and information exchange. By providing a common framework, Ontology-Based Models help disambiguate terms and concepts, which is crucial in environments where multiple data sources and different interpretations are managed. Furthermore, they are fundamental in the development of artificial intelligence applications and natural language processing, as they allow machines to understand and reason about knowledge more effectively. The main characteristics of these models include their ability to represent knowledge hierarchically, their flexibility to adapt to different domains, and their potential to be used in semantic search systems, where the user’s intent can be better understood. In summary, Ontology-Based Models are powerful tools for knowledge representation that facilitate communication and understanding between humans and machines.
