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利用语义的多版本网络覆盖服务模式匹配方法 被引量：4

A Semantics Approach for Multi-Version Web Coverage Service Schema Match
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摘要 提出了一种基于节点相似度的语义模式匹配方法,首先对元素标签进行概念化,其次计算元素标签间的语义关系,再次计算节点概念并转化成合取范式CNF,最后利用命题可满足性问题解决器SAT验证节点间的概念关系。实验结果表明,该方法有效提高了匹配的查全率、精度和整体质量。 A schema match approach based on semantics is put forward.Firstly,the concepts at labels is built,and the semantic relationship between labels is computed,then the concepts at labels to concept at a node by a conjunction of all concepts at labels located above the given node are extended,including the node itself,concepts at node are translated into propositional formulas and then into CNF,which allows us to translate the matching problem into a propositional validity problem,which can then be efficiently resolved using SAT.Different versions of WCS schema-matching experiments show that the average recall of the semantic matching for the schemas is above 82%,the average precision reaches 91%,and the average overall achieves 67%.
作者 何杰 陈能成 郑重 王伟
机构地区 宁夏大学资源环境学院 武汉大学测绘遥感信息工程国家重点实验室
出处 《武汉大学学报（信息科学版）》 EI CSCD 北大核心 2012年第2期210-214,共5页 Geomatics and Information Science of Wuhan University
基金 国家973计划资助项目(2011CB707101) 国家863计划资助项目(2011AA010500) 国家自然科学基金资助项目(41171315 41021061)
关键词 模式匹配 网络覆盖服务 语义关系 匹配质量 schema matching Web coverage service semantic relationship matching quality
分类号 P208 [天文地球—地图制图学与地理信息工程]
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参考文献17

  • 1Do H H,Rahm E. COMA A System for Flexible Combination of Schema Matching Approaches[C]. The 28th International Conference on VLDB, Hong Kong, 2002.
  • 2Li W, Clifton C. Semlnt A Tool for Identifying Attribute Correspondences in Heterogeneous Databases Using Neural Network[J]. Data and Knowledge Engineering, 2000, 33(1): 49-84.
  • 3Madhavan J, Bernstein P A, Rahm E. Generic Schema Matching with Cupid[C]. The 27th International Conference on VLDB, San Francisco, CA, USA, 2001.
  • 4Milo T,Zohar S. Using Schema Matching to Simplify Heterogeneous Data Translation[C]. The 24th International Conference on VLDB, San Francisco, CA, USA, 1998.
  • 5Doan A H, Domingos P, Halevy A. Reconciling Schemas of Disparate Data Sources: A Machine Learning Approach[C]. The 2001 ACM SIGMOD International Conference on Management of Data, New York, USA, 2001.
  • 6Rahm E, Do H H, Massmann S. Matching Large XML Schemas[J]. SIGMOD Record , 2004,33(4): 26 31.
  • 7Rahm E,Bernstein P A. A Survey of Approaches "to Automatic Schema Matching[J]. VLDB Journal, 2001, 10(4): 334-350.
  • 8Shvaiko P, Euzenat J. A Survey of Schema-based Matching Approaches[J]. Journal on Data Semantics, 2005,4:146-171.
  • 9Giunchiglia F, Shvaiko P. Semantic Matching[J]. KER Journal, 2003 , 18(3):265-280.
  • 10Giunchiglia F, Shvaiko P, Yatskevich M. S-Match: An Algorithm and an Implementation of Semantic Matching[J]. Semantic Interoperability and Integration, 2005,23(3) :61-75.

二级参考文献17

  • 1[1]Geography Markup Language (GML).http://opengis.net/gml/01-029/GML2.html,2000
  • 2[2]Madhavan J, Bernstein P A, Rahm E. Generic Schema Matching with Cupid. The 27th VLDB Conference, Rome, 2001
  • 3[3]Rahm E, Bernstein P A. A Survey of Approaches to Automatic Schema Matching. The VLDB Journal, 2001(10): 334～350
  • 4[4]Doan A H, Domingos P, Levy A. Learning Source Descriptions for Data Integration. Proc. WebDB Workshop, 2000
  • 5[5]Pottinger R A, Bernstein P A. Creating a Mediated Schema Based on Initial Correspondences. Bulletin of the IEEE Computer Society Technical Committee on Data Engineering, 2002
  • 6[6]Li W S, Clifton C. SemInt: A Tool for Identifying Attribute Correspondences in Heterogeneous Databases Using Neural Network. Data and Knowledge Engineering, 2000, 33(1): 49～84
  • 7[7]Reynaud C, Sirot J P, Vodislav D. Semantic Integration of XML Heterogeneous Data Sources. 2001 Int. Database Engineering Applications Symposium, 2001
  • 8[8]Guan J H, Zhou S G, Chen J P, et al. Ontology-based GML Schema Matching for Information Integration. ICMLC'03, Xi'an, 2003
  • 9Spery L. A Framework for Update Process in GIS [C], The Third International Conference on GeoCoreputation, University of Bristol, Bristol, 1998
  • 10Arnaud B. From the Schema Matching to the Integration of Updating Information into User Geographic Database[C]. The 12th International Conference on Geoinformatics, Geospatial Information Research: Bridging the Pacific and Atlantic, University of Gvle, Sweden, 2004

共引文献36

同被引文献62

引证文献4

二级引证文献3

武汉大学学报（信息科学版）
2012年 第2期

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