An instance-based result schema matching technique for Deep Web resources

To address the problem of result schema matching in the Deep Web,an instance-based approach of schema matching is presented. The approach can match and verify attributes of result schema for Deep Web sources,and mark the position of data in result pages. Moreover,based on query relaxing,a two-parse schema matching approach is presented to increase the accuracy of schema attributes matching. And the coconcurrence of attribute is invoked to address the problem of increasing the precision and recall of schema attributes. The experimental results demonstrate the instance-based approach effectively extracts result schema of data sources,and improve the precision and recall of schema attributes.