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利用实例的异构网络服务模式匹配方法

An instance-based web services schema matching method
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摘要 提出了一种利用实例的模式匹配方法,在对网络服务模式元素标签及模式结构匹配基础上,通过对网络服务实例数据的精确匹配来确定模式元素间对应关系,解决了多版本异构网络服务模式间由于结构和语义差异造成的映射丢失问题.最后,以Geoserver不同版本网络要素服务(WFS)和网络覆盖服务(WCS)匹配试验验证了方法的有效性. To solve the problems of mapping lost on schema matching among heterogeneous web service schemas caused by difference in structure and semantics, this paper presents a schema matching method with instance applied. Firstly, a metadata matcher is used to do matching on element tags and schema structure. Then, an instance matching algorithm is designed for exact matching on element instance data to determine the correspondence between schema elements. Finally, schema matching tests are carried on different versions of the Web Feature Service （WFS） and Web Coverage Service （WCS）, demonstrating that the method is feasible.
作者 何杰 王新云 郭艺歌
机构地区 宁夏大学资源环境学院 宁夏大学西北土地退化与生态恢复教育部重点实验室
出处 《华中师范大学学报（自然科学版）》 CAS 北大核心 2015年第6期843-850,共8页 Journal of Central China Normal University：Natural Sciences
基金 国家自然科学基金项目(41201393) 宁夏自然科学基金项目(NZ12110) 武汉大学测绘遥感信息工程国家重点实验室开放基金项目(14I03)
关键词 模式匹配 实例 多版本 网络要素服务 网络覆盖服务 schema matehing instance multi-version web feature service web coverage service
分类号 TP393 [自动化与计算机技术—计算机应用技术] 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16

  • 1SHVAIKO P, EUZENAT J. A survey of schema-based matching approaches[J]. Journal on Data Semantics IV,2005, 4:146-171.
  • 2GIUNCHIGLIA F, SHVAIKO P. Semantic matching[J]. KER Journal, 2003, 18(3) .-265-280.
  • 3GIUNCHIGLIA F, SHVAIKO P, YATSKEVICH M. S- Match: An algorithm and an implementation of Semantic Matching[C]//In: Proceedings of the European Semantic Web Symposium ( ESWS), Springer, Heidelberg, 2004: 61-75.
  • 4GIUNCHIGLIA F, YATSKEVICH M, GIUNCHIGLIA E. Efficient semantic matching[C]//In Proceedings of ESW C, Heraklion,Greece, 2005:272-289.
  • 5王育红,陈军.基于实例的GIS数据库模式匹配方法[J].武汉大学学报（信息科学版）,2008,33(1):46-50. 被引量：15
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  • 9WHITESIDE A, EVANS J D. OGCTM Web Coverage serv- ice implementation specification [S]. In: ()pen Geospatial Consortium(OGC), Document Number: 07-067, Wayland, MA, USA, 2007:133.
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二级参考文献25

  • 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.
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  • 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.

共引文献15

华中师范大学学报（自然科学版）
2015年 第6期

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