Methodology for Schema Matching Based on Ontology and Neural Network in Deep Web
Baoxiang Cao · Journal of University of Jinan · 2011
Towards the difficulty of the schema matching in Deep Web and according to the features of the existing schema matching,we proposes a new approach using different groups of the ontology with the same meaning to establish the relationship between schemas,in this way the complexity can be reduced,at the same time by using the self-study ability of neural network the automation of the matching has been improved too.The experimental results show that this approach can improve the precision ratio and recall ratio of the schema matching obviously,and it can effectively improve the quality of the schema matching.