SESM: Semantic enrichment of schema mappings

Schema mapping is becoming pervasive in information integration through data exchange and data integration. In this paper, we show that current schema mapping generation and verification techniques are not capable of reconciling some semantic heterogeneity because of ambiguities in interpreting different types of relations. To address this problem, we enrich the mapping generation process using conceptual models to recover the semantics of relations. The technique we propose in this paper not only avoids generating ambiguous mappings, but also generates some new semantic mappings that are neglected in many schema mapping techniques.