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一种基于部分已验证匹配关系的模式匹配模型

DOI: 10.3724/SP.J.1004.2013.01642, PP. 1642-1652

Keywords: 模式匹配,模式集成,相似度矩阵,候选匹配

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Abstract:

?模式匹配是模式集成、语义WEB及电子商务等领域的重点及难点问题.为了有效利用专家知识提高匹配质量,提出了一种基于部分已验证匹配关系的模式匹配模型.在该模型中,首先,人工验证待匹配模式元素间的少量对应关系,进而推理出当前任务下部分已知的匹配关系及单独匹配器的缺省权重;然后,基于上述已收集到的先验知识对多种匹配器所生成的相似度矩阵进行合并及调整,并在全局范围内进行优化;最后,对优化矩阵的选择性进行评估,从而为不同匹配任务推荐最合理的候选匹配生成方案.实验结果表明,部分已验证匹配关系的使用有助于模式匹配质量的提高.

References

[1]  Bernstein P A, Madhavan J, Rahm E. Generic schema matching, ten years later. Proceedings of the VLDB Endowment, 2011, 4(11): 695-701
[2]  Melnik S, Garcia-Molina H, Rahm E. Similarity flooding: a versatile graph matching algorithm and its application to schema matching. In: Proceedings of the 18th International Conference on Data Engineering. San Jose, California: IEEE, 2002. 117-128
[3]  Do Hong-Hai, Rahm E. COMA—A system for flexible combination of schema matching approaches. In: Proceedings of the 28th International Conference on Very large Data Bases. Hong Kong, China: VLDB, 2002. 610-621
[4]  Doan A, Domingos P, Halevy A Y. Reconciling schemas of disparate data sources: a machine-learning approach. In: Proceedings of the 2001 ACM SIGMOD International Conference on Management of Data. Santa Barbara, USA: ACM, 2002. 509-520
[5]  Zhang M H, Hadjieleftheriou M, Ooi B C, Procopiuc C M, Srivastava D. Automatic discovery of attributes in relational databases. In: Proceedings of the 2011 ACM SIGMOD International Conference on Management of Data. New York, USA: ACM, 2011. 109-120
[6]  Li Guo-Hui, Du Xiao-Kun, Du Jian-Qiang. A structure matching method based on partial functional dependencies. Chinese Journal of Computers, 2010, 33(2): 240-250(李国辉, 杜小坤, 杜建强. 基于部分函数依赖的结构匹配方法. 计算机学报, 2010, 33(2): 240-250)
[7]  Aumueller D, Do H H, Massmann S, Rahm E. Schema and ontology matching with COMA++. In: Proceedings of the 2005 ACM SIGMOD International Conference on Management of Data. New York, USA: ACM, 2005. 906-908
[8]  Peukert E, Rahm E. Restricting the overlap of top-n sets in schema matching. In: Proceedings of the 1st Workshop on New Trends in Similarity Search. New York, USA: ACM, 2011. 20-25
[9]  Peukert E, Eberius J, Rahm E. Rule-based construction of matching processes. In: Proceedings of the 20th ACM International Conference on Information and Knowledge Management. New York, USA: ACM, 2011. 2421-2424
[10]  Madhavan J, Bernstein P A, Rahm E. Generic schema matching with cupid. In: Proceedings of the 27th International Conference on Very Large Data Bases. San Francisco, USA: Morgan Kaufman Publishers, 2001. 49-58
[11]  Kang J, Naughton J F. Schema matching using interattribute dependencies. IEEE Transactions on Knowledge and Data Engineering, 2008, 20(10): 1393-1407
[12]  Li W S, Clifton C. SEMINT: a tool for identifying attribute correspondences in heterogeneous databases using neural networks. Data and Knowledge Engineering, 2000, 33(1): 49-84
[13]  Bilke A, Naumann F. Schema matching using duplicates. In: Proceedings of the 21st International Conference on Data Engineering. Tokyo, Japan: IEEE, 2005. 69-80
[14]  Shen De-Rong, Yu En-Yun, Zhang Xu, Kou Yue, Nie Tie-Zheng, Yu Ge. SKM: a schema matching model based on schema structure and known matching knowledge. Journal of Software, 2009, 20(2): 327-338(申德荣, 余恩运, 张旭, 寇月, 聂铁铮, 于戈. SKM: 一种基于模式结构和已有匹配知识的模式匹配模型. 软件学报, 2009, 20(2): 327-338)
[15]  Bellahsene Z, Bonifati A, Rahm E. Schema Matching and Mapping. Berlin: Springer-Verlag, 2011. 29-52
[16]  Wang G L, Goguen J, Nam Y K, Lin K. Critical points for interactive schema matching. In: Proceedings of the 6th Asia-Pacific Web Conference. Hangzhou, China: Springer-Verlag, 2004. 654-664
[17]  Kim W, Seo J. Classifying schematic and data heterogeneity in multidatabase systems. IEEE Computer, 1991, 24(12): 12-18

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