Inconsistent Ontology

Inconsistent ontologies, a common problem in knowledge representation, hinder accurate reasoning and reliable inference due to contradictions within the knowledge base. Current research focuses on developing methods to handle these inconsistencies, including techniques that leverage pre-trained language models to revise or enrich ontologies, embedding-based approaches for inconsistency-tolerant reasoning, and argumentation frameworks for managing conflicting information. These advancements aim to improve the reliability and usability of ontologies across various domains, particularly in knowledge management and applications requiring robust reasoning under uncertainty.