An Ontology Mapping Optimization Algorithm Based on AHP and Entropy Weight Decision

Currently, there are many problems in mapping Semantic Web ontology. For example, Ontology mapping results are inaccurate or time complexity is too high. This paper presents an ontology mapping algorithm based on Firstly, we should analysis the ontology and list the feature vector. Secondly, according to the proposed AHP and entropy weight decision, we map the multi-strategy weights. Finally, the result of the mapping is calculated. The method effectively reduces redundant and improve the efficiency. Experiment result has proved the effectiveness of these proposed methods.