关键词: Deep Web, 查询实例, 结果模式, 模式匹配, 属性共现度

Abstract: 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 co-concurrence 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.

Key words: Deep Web, query instance, result schema, schema matching, attribute co-concurrence