Ontology Generation

Ontology generation aims to automatically create structured knowledge representations (ontologies) from unstructured data sources like text, streamlining the resource-intensive manual process. Current research heavily utilizes large language models (LLMs) and retrieval-augmented generation (RAG) techniques, often incorporating knowledge graph construction and refinement steps to improve accuracy and consistency. This automated approach promises to significantly accelerate the development and maintenance of ontologies across various scientific domains, facilitating knowledge sharing and interoperability.