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一种高效的用户查询模式匹配算法 被引量:1

Efficient user query schema matching algorithm
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摘要 针对常规模式匹配方法在大规模模式匹配中效率不高无法满足在线应用的问题,提出了一种高效率用户查询模式匹配方法.该方法在常规模式匹配方法中引入查询模式语义环境,使用搜索技术和聚类技术裁减模式匹配的搜索空间,在保证正确率的前提下,能显著提高匹配效率,满足用户在线响应时间要求.实验证明了这种方法的有效性. A technique of clustered user query schema matching is proposed in order to improve the efficiency of large scale schema matching. The techniques of searching and clustering are used to prune the areas of the search space in which there is no chance of finding a good solution. This mothed is tested and verified to be efficiency and effectiveness.
出处 《陕西师范大学学报(自然科学版)》 CAS CSCD 北大核心 2008年第1期22-25,共4页 Journal of Shaanxi Normal University:Natural Science Edition
基金 国家自然科学基金资助项目(60672156)
关键词 模式匹配 DEEP WEB 查询模式 聚类 schema matching Deep Web query schema clustering
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参考文献7

  • 1Chang K C, He B, Li C. Structured databases on the Web: Observations and Implications[J ]. SIGMOD Record, 2004, 33(3): 61-70.
  • 2Rahm E, Bernstein P A. A survey of approaches to automatic schema matching [ J ]. The VLDB Journal: The International Journal on Very Large Data Bases, 2001,10 (4) :334-350.
  • 3Dhamankar R, Lee Y,Doan A. iMAP: discovering complex semantic matches between database schemas[C] //Paris: In Proceedings of the 2004 ACM SIGMOD International Conference on Management of Data, 2004: 383-394.
  • 4Wu W, Yu C T, Doan A. An interactive clustering-based approach to integrating source query interfaces on the Deep Web [ C] //Paris. In Proceedings of the 2004 ACM SIGMOD International Conference on Management of Data, 2004. 95-106.
  • 5He B, Chang K C. Discovering complex matchings across Web query interfaces: A correlation mining approach[ C] //Seattle. In Proceedings of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004. 148-157.
  • 6Bilke A, Naumann F. Schema matching using duplicates [ C]//Tokyo: In Proceedings of ICDE'05, 2005 : 69-80.
  • 7Chang K C, He B. The UIUC Web integration repository [DB/OL]. 2007-02-05. http: //metaquerier. cs. uiuc. edu/repository.

同被引文献5

  • 1Chang K C, He B, Li C. Structured databases on the Web : Observations and Implications. SIGMOD Record ,2004,33 ( 3 ) :61 - 70.
  • 2He B, Patel M, Zhang Z, et al. Accessing the deep Web. Communications of ACM, 2007,50 ( 5 ) : 94 - 101.
  • 3Chang K C , He B , Zhang Z. Toward large scale integration: Building a MetaQuerier over databases on the Web. Asilomar: Proceedings CIDR 2005:44 - 55.
  • 4Tao Cheng, Chen-Chuan Chang K. Entity search engine: Towards agile best effort information integration over the Web. Asilomar:Proceedings CIDR 2007 : 108 - 113.
  • 5刘伟,孟小峰,孟卫一.Deep Web数据集成研究综述[J].计算机学报,2007,30(9):1475-1489. 被引量:136

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