Fuzzy FCA Based Ontology Mapping

摘要

In order to handle vague information of ontology mapping, a novel method based on the Fuzzy Formal Concept Analysis (FCA) theory was proposed. The ontology was first defined to model vague data, and then a fuzzy formal context was constructed with the combination of two ontologies. At last, a concept similarity measure model was proposed for improving ontology mapping. Compared with other ontology mapping approaches, the new method can make full use of the structural properties of ontologies and allow users to handle both crisp and uncertain data. Experiment shows the new method can improve the recall and precision of ontology mapping.