Automatic Ontology Mapping in Semantic Web
Liang Bang · Chinese Journal of Computers · 2006
Interoperability over distributed ontologies is one of the six challenges for Semantic Web.Ontology mapping is the key point to each the interoperability.In this paper,based on Bayesian decision theory,the authors propose an approach called RiMOM(Risk Minimization based Ontology Mapping) to automatically discover the mapping between ontologies.RiMOM treats the mapping problem as a decision problem and formalizes mapping discovery as that of risk minimization.Based on multiple strategies,RiMOM deals with not only 1∶1 mapping,but also n∶1 mapping.Experiments on several public data sets show that RiMOM can outperform existing methods in terms of precision and recall.