Deep Web集成中数据模式映射失效检测方法研究  

Research on Detecting Broken Mappings for Deep Web Integration

作　　者：缪嘉嘉[1] 李爱平[1] 贾焰[1] 吴泉源[1] 

机构地区：[1]国防科学技术大学计算机学院,长沙410073

出　　处：《计算机研究与发展》2008年第z1期222-227,共6页Journal of Computer Research and Development

基　　金：国家"八六三"高技术研究发展计划基金项目(2004AA112020;2005AA112030);国家"九七三"重点基础研究发展规划基金项目(2005CB321804)

摘　　要：查询接口集成是Deep Web数据集成的关键,在动态环境下,Web数据源的变化会引起数据模式映射的失效,使得查询接口集成维护难度增加,因此数据模式映射失效检测是Deep Web数据集成研究中的热点问题.针对目前数据模式映射失效检测方法的局限,在模糊聚集算子的研究基础上,提出一种适用于数据模式映射失效检测的结果融合算法.通过实验对比测试,并对映射失效检测方法的性能和效率进行了分析和实验,结果证明了提出的方法对于失效模型的检测是有效的.The deep Web integration system employs a set of semantic mappings between the mediated schema and the schemas of Web data sources. In this dynamic environment, sources often undergo changes that invalidate the mappings. Such continuous monitoring is extremely labor intensive, and poses a key bottleneck to the widespread deployment of Web data integration systems in practice. The paper describes DBMFR (Detecting Broken Mappings Based on Fuzzy Reasoning) an automatic solution to detecting broken mappings. Fuzzy aggregation operators are leveraged to calculate the score, which implies whether the mapping is broken. The paper provides a new fuzzy reasoning algorithm based on fuzzy aggregation operators. Experiments over real-world sources demonstrate the effectiveness of our fuzzy-based approach over existing solutions, as well as the utility of our improvements.

关 键 词：DEEP WEB集成 模式映射 模糊聚集算子 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]