Directed Research Project Details

Mining Executable Ontology Mappings

Abstract

The ontology-based information integration is a popular topic in the Semantic Web and database community. Even in the same domain, different groups of domain experts define different ontologies to share data. Therefore data integration and query translation between ontologies become main topics. Since fully automatic ontology mapping is an AI-complete problem, my advisor, Prof. Dou, pointed out that we should find an approach to solve this problem with less human involvement to save human effort. My DRP report presents an approach to systematically combine ontology matching, object reconciliation and multi-relational data mining to discover the executable mapping rules in a highly automatic manner. The results show that our approach is highly automatic and the accuracy is satisfying compared with a human-specified golden standard.