Noy & Musen (for Ontology Merging work)

Noy & Musen are researchers known for their work on ontology merging, which involves combining multiple structured knowledge systems into a unified one. Their approach uses a set of systematic methods to identify similar or related concepts across different ontologies and then align or merge them effectively. This helps create comprehensive knowledge bases that support better data sharing and reasoning across varied domains. Their work provides practical algorithms and frameworks that improve the accuracy and efficiency of integrating disparate information sources into a cohesive, interoperable system.