Semantic integration refers to the process of merging data from different sources in a way that preserves the meaning or semantics of the information. This involves understanding the context and relationships between the data elements in different datasets to ensure that they can be accurately combined and interpreted. Key aspects of semantic integration include: 1. **Ontology**: It often utilizes ontologies, which are formal representations of knowledge within a domain that describe concepts, relationships, and categories.
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