DL Lite Ontology

DL-Lite ontologies are lightweight knowledge representation formalisms designed for efficient reasoning, primarily focusing on query answering and ontology maintenance. Current research emphasizes improving ontology quality through techniques like axiom weakening and completion to address issues of incompleteness and incorrectness, as well as developing robust methods for handling uncertainty and vagueness using fuzzy extensions. These advancements are crucial for building reliable ontology-based applications in diverse fields, particularly where efficient reasoning over large datasets and handling of imperfect information are critical.