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基于《知网》的中文Deep Web模式匹配算法研究 被引量:6

Research on schema matching algorithm of Chinese Deep Web based on HowNet
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摘要 随着数据库在Internet中的应用日益广泛,Deep Web集成(即Web数据库集成)成为当前信息领域的研究热点,模式匹配是Deep Web查询接口集成中的一个关键问题。目前大多数这方面的研究都是基于英文的,针对这种情况,探讨了中文Deep Web查询接口的模式匹配方法,并提出了一种基于《知网》、面向中文语义的模式匹配算法,并利用属性在查询接口上的相对位置信息解决语义冲突。手工收集查询表单对算法进行验证,实验表明该方法能使得接口之间属性匹配的正确率达到90%以上。 With the widespread application of database in the Internet , Deep Web integration ( that is, Web database integration) has become the hot research field of information, and schema matching is a key issue. At present, most research in this area are based on English, this article explored the Chinese Deep Web query interface schema matching methods. And pro- posed an approach based on HowNet for Chinese semantic schema matching algorithm and resolved the conflict in semantics making use of the relative location information of attributes in the query interface. The experiments show good performance of the schema matching approach as high accuracy as 90%.
作者 金玉 范学峰
出处 《计算机应用研究》 CSCD 北大核心 2009年第10期3750-3753,共4页 Application Research of Computers
关键词 深网 接口集成 模式匹配 Deep Web interface integration schema matching
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参考文献16

  • 1洪辉,李石君,余伟,田建伟.基于语义的中文Deep Web查询接口集成[J].计算机科学,2008,35(3):61-64. 被引量:7
  • 2LIU Qun, LI Su-jian. Word similarity computing based on How Net [ C ]//Proc of the 6th Chinese Lexical Sematics Workshop. 2002. 被引量:1
  • 3BERGMAN M K. The Deep Web: surfacing hidden value[J]. Journal of Electronic Publishing, 2002,7 (1) :8912-8914. 被引量:1
  • 4HE H, MENG W Y, YU C, et al. WISE-Integrator: an automatic integrator of Web search interfaces for e-commerce [ C]//Proc of the 29th VLDB Conference. 2003:503- 505. 被引量:1
  • 5KABRA G, LI C K, CHANG K C C. Query routing:finding ways in the maze of the Deep Web[ C]//Proc of ICDE-WIRI. 2005. 被引量:1
  • 6WU W S, DOAN A H, YU C. Merging interface schemes on the Deep Web via clustering aggregation[ C]//Proc of ICDM. 2005:801- 804. 被引量:1
  • 7WU W S, DOAN A H, YU C. Learning from the.Web to match Deep-Web query interfaces[ C]//Proc of ICDE. 2006:44. 被引量:1
  • 8HE H, MENG W Y, YU C, et al. WISE-Integrator: a system for extracting and integrating complex Web search interfaces of the Deep Web [ C ]//Proc of the 31 st VLDB Conference. 2005 : 1314 - 1317. 被引量:1
  • 9CAVERLEE J, LIU L, BUTrLER D. Probe, cluster and discover: focused extraction of QA-Pagelets from the Deep Web[ C ] Proc of ICDE. 2004 : 103. 被引量:1
  • 10CHUANG S L, CHANG K C C, ZAI C X. Collaborative wrapping: A turbo framework for Web data extraction [ C ]//Proc of the 23rd International Conference on Data Engineering. 2007. 被引量:1

二级参考文献17

  • 1Bin He, Kevin Chen-Chunan Chang. A Holistic Paradigm for Large Scale Schema Matching [ Z ]. SIGMOD Record, December 2004, 33 (4). 被引量:1
  • 2He B, Chang K C C. Statistical schema matching across Web query inteffaces[ C]//SIGMOD Conference, 2003. 被引量:1
  • 3He B, Chang K C C, Han J. Automatic complex schema matching across Web query interfaces: A correlation mining approach [ R ]. Technical Report UIUCDCS-R-2003-2388, Dept. of Computer Science, UIUC, Dec. 2003. 被引量:1
  • 4Chang K C C, He B, Li C, Patel M, Zhang Z. Structured Databases on the Web:Observations and Implications, SIGMOD Record, 2004,33(3) :61-70. 被引量:1
  • 5Wu W, Doan A, Yu C T. WeblQ: Learning from the Web to Match Deep-Web Query Interfaces. In ICDE, 2006.44. 被引量:1
  • 6He B, Chang K C C. Making holistic schema matching robust: an ensemble approach. In KDD, 2005, 429-438. 被引量:1
  • 7Wu W, Doan A, Yu C T. Merging Interface Schemas on the Deep Web via Clustering Aggregation. In ICDM, 2005, 801-804. 被引量:1
  • 8Madhavan J, Bernstein P A, Doan A. Corpus-based Schema Matching. In ICDE, 2005.57-68. 被引量:1
  • 9Wu W, Yu C T, Doan A. An Interactive Clustering-based Approach to Integrating Source Query interfaces on the Deep Web. In:SIGMOD Conference, 2004. 95-106. 被引量:1
  • 10Wang J, Wen J R, Lochovsky F H. Instance-based Schema Matching for Web Databases by Domain-specific Query Probing. In VLDB, 2004. 408-419. 被引量:1

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