A method of fuzzy ontology merging based on fuzzy concept lattice gluing

Ontology is applied to describe information in the Sematic Web. However, the diversity of understanding in the domain knowledge leads to ontology heterogeneity. In order to tackle the bottleneck, ontology should be integrated from distinct sources to achieve sharing and reusing the resource. Ontology merging is viewed as one of the most effective methods of ontology integration. Fuzzy ontology is introduced for better description of information in objective world. Formal concept analysis can help resolving the problem that ontology is poor in the depth of describing information. But the method has its disadvantage in coding and reasoning. In this paper, we propose a fuzzy ontology merging method based on fuzzy concept lattice, and develop a prototype system to indicate the rationality of the method. The experimental results show that the accuracy of our method is high, and the level of semi-automated is improved. Moreover, it can automatically discover the new latent concept, which is significant to self-learning and improving of ontology. © 2014 Binary Information Press.