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基于实例的GIS数据库模式匹配方法 被引量：15

An Instance-Based Approach for Schema Matching Between GIS Databases
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摘要 针对空间数据库的特点,提出了一种改进的基于实例的层次式模式匹配方法,并解决了实体对应关系的自动建立、要素类相似性计算、属性相似性计算等问题。最后,通过实验验证了该方法的有效性。 According to the characteristic of GIS database, an improved instance-based hierarchical approach to schema matching is proposed, some key issues within which are also be resolved such as automatic identification of shared entities, similarity computation between feature classes, attribute similarity computation, etc. Finally, experimental result is present to validate the efficiency of this approach.
作者 王育红 陈军
机构地区 河南理工大学测绘与国土信息工程学院 国家基础地理信息中心
出处 《武汉大学学报（信息科学版）》 EI CSCD 北大核心 2008年第1期46-50,共5页 Geomatics and Information Science of Wuhan University
基金 国家自然科学基金资助项目(40337055)
关键词 模式匹配 相似性 GIS数据库 更新 共同实体识别 schema matching similarity GIS database updating shared entities identification
分类号 P208 [天文地球—地图制图学与地理信息工程]
  • 相关文献

参考文献9

  • 1Spery L. A Framework for Update Process in GIS [C], The Third International Conference on GeoCoreputation, University of Bristol, Bristol, 1998
  • 2Arnaud 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
  • 3Rahm E, Bernstein P A. A Survey of Approaches to Automatic Schema Matching[J]. The VLDB Journal, 2001(10): 334-350
  • 4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
  • 5Fan Weiguo, Lu Hongjun, Madnick S E, et al. Discovering and Reconciling Value Conflicts for Numerical Data integration[J]. Information Systems, 2001, 26:635-656
  • 6ChuaC E H, Chiang R H L, Lim E P. Instance Based Attribute Identification in Database Integration[J]. VLDB Journal, 2003, 12(3):228-243
  • 7Yuan Shuxin, Tao Chuang. Development of Conflation Components[-C]. Geoinformatics' 99, International conference on Geoinformatics and Socioinformatics, Ann Arbor, Michigan, USA, 1999
  • 8Volker W, Dieter F. Matching Spatial Data Sets: a Statistical Approach[J]. International Journal of Geographical Information Science, 1999, 13 (5) : 445-473
  • 9Naphtali R, Rukshan A, Yuan Jun, et al. Semantic Relations: the Key to Integrating and Query Processing in Heterogeneous Databases[C]. The World Multiconference on Systemics, Cybernetics and Informatics, Computer Science and Engineering: Part Ⅰ, USA, 2000

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

共引文献23

同被引文献199

引证文献15

二级引证文献101

武汉大学学报（信息科学版）
2008年 第1期

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