Semantic heterogeneity refers to the challenges that arise when integrating information from different sources that use varying terminologies, structures, or interpretations for the same concepts. It is a crucial issue in fields like data integration, knowledge management, and information retrieval, where consistent and accurate data interpretation is essential.