 Semantic heterogeneity

Semantic heterogeneity refers to the differences in meaning or interpretation of data or concepts across various systems, contexts, or domains. This phenomenon often arises in environments such as data integration, information retrieval, and knowledge representation, where disparate entities, databases, or datasets might represent similar information in inconsistent ways. Here are a few key points regarding semantic heterogeneity: 1. **Contextual Differences**: The same term or data point may hold different meanings depending on the context in which it is used.