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Managing semantic evolution in databases: from theory to implementation
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DOI：10.1016/j.future.2025.108257.png)
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Abstract
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• Semantic evolution in databases occurs mainly because of renaming, grouping, or regrouping. • Changes in cities and disease names are examples of semantic heterogeneity. • Preprocessing semantic heterogeneous data usually outperforms query rewriting. • Models and algorithms to deal with semantic evolution were presented and evaluated. • Common users do not need to be aware of or manually deal with semantic heterogeneity.
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