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Open access 2026

Semantic Interoperability of Heterogeneous Information Systems: A Hybrid Framework for Machine Learning-Assisted Semantic Mapping Recommendation

A hybrid framework to improve the automatic recommendation of semantic mappings by combining lexical, structural, statistical, semantic, and business similarities with a supervised learning model is proposed and confirmed that combining different similarity families significantly improves recommendation quality.

Aicha Koulou, Mohamed Chekour, N. El Hami et al. · 0 citations

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