Research on an improved ontology mapping method
Kai Liu, Shanhong Zheng, Wanlong Li, Kai Li · 2016
In order to improve the accuracy of ontology mapping,an improved ontology mapping method is proposed.Firstly,simplify the process of calculating the conceptual similarity by adopting the candidate set.Then,determine the weight by referencing the rough set condition information entropy aimed at improving the quality of mapping.Last,the test set also called benchmark provided by OAEI is introduced to test the performance of our mapping algorithm.The experimental results display that the mapping efficiency and generality is maintained,the recall and precision of ontology mapping is significantly promoted as well.