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.