Description Logic

Description Logics (DLs) are formal knowledge representation languages used to model and reason with ontologies, aiming to efficiently represent and infer knowledge from structured data. Current research focuses on extending DLs' expressiveness while maintaining tractability, exploring novel reasoning methods for handling inconsistencies and uncertainty, and developing efficient algorithms for tasks like ontology learning, query answering, and knowledge base completion. These advancements are crucial for improving the scalability and reliability of knowledge-based systems across diverse applications, including the Semantic Web, bioinformatics, and automated decision-making.