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支持空间数据集成的GML模式匹配器 被引量:1

A GML Schema Matching Processor Supporting Spatial Information Integration
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摘要 GML是一种基@XML的标记性语言,包含有大量的空间信息,不同GML可能来源于不同的数据源,并且它们的模式也很可能不同,因此我们经常需要对GML文档进行数据集成处理。因而模式匹配就是其数据集成环节中必不可少的一步。该文设计了GML的模式匹配器,其方法是首先把GML模式转化为GML模式树,然后计算两个GML模式树的结构和语义的相似度来判断两个GML模式的相似程度,该系统在界面上也着重体现了这两个部分。 The complexity and richness of spatial data models and geographic information systems(GISs)together with the popularity of WWW have led to an increasing number of heterogeneous and autonomous geo-referenced information sources that spread over Internet. To integrate and publish geographic information, a challenge is to match schemas between two arbitrary GML documents. In this paper, An GML schema matching processor supporting spatial information integration is designed, in which document schema is first transformed to a tree. and then a similarity formula is introduced to measure the semantic and structural matching degrees of two documents based on the transformed trees.
作者 王向峰 陈辉 WANG Xiang-feng, CHEN Hui (Department of Computer Science and Technology, Tongji University, Shanghai 201804, China)
出处 《电脑知识与技术》 2012年第3期1496-1499,共4页 Computer Knowledge and Technology
关键词 GML 空间数据集成 模式匹配器 GML spatial information integration schema matching processor
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参考文献9

  • 1Geography Markup Language (GML)[EB/OL].http://opengis.net gml/01-029 GML2.html.
  • 2Madhavan J,Bernstein P A,Rahm E.Generic Schema Matching with Cupid[C]//The 27th VLDB Conference,Rome,2001.
  • 3Rahm E,Bernstein P A.A Survey of Approaches to Automatic Schema Matching[J].The VLDB Journal,2001(10):334-350.
  • 4Doan A H,Domingos P,Levy A.Learning Source Descriptions for Data Integration[C]//Proc. WebDB Workshop,2000.
  • 5Pottinger R A,Bernstein P A.Creating a Mediated Sctlema Based on Initial Correspondences[C]//Bulletin of the IEEE Computer Society Technical Committee on Data Engineering,2002.
  • 6Li W S,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.
  • 7Reynaud C,Sirot J P,Vodislav D.Semantic Integration of XML tteterogeneous Data Sources[C]//International Database Engineering & Applications Symposium (IDEAS'01),2001.
  • 8Guan J H,Zhou S G,Chen J P,et al.Ontology-based GML Schema Matching for Information Integration[C]//ICMLC '03,Xi'an,2003.
  • 9关佶红,虞为,安扬.GML模式匹配算法[J].武汉大学学报(信息科学版),2004,29(2):169-174. 被引量:24

二级参考文献8

  • 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

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