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This special issue examines challenges of semantic heterogeneity in data exchange and integration, suggesting solutions.
Semantic heterogeneity is one of the key challenges in integrating and sharing data across disparate sources, data exchange and migration, data warehousing, model management, the Semantic Web and peer-to-peer databases. Semantic heterogeneity can arise ...
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Uhrmacher et al. (2025) studied this question.
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