地理研究

地理研究 ›› 2009, Vol. 28 ›› Issue (3): 696-704.doi: 10.11821/yj2009030014

• 地球信息科学 • 上一篇    下一篇

基于地理本体的空间数据集成方法及其实现

王敬贵1, 杜云艳2, 苏奋振2, 周成虎2   

  1. 1. 珠江水利委员会珠江水利科学研究院,广州 510611;
    2. 中国科学院地理科学与资源研究所 资源与环境国家重点实验室,北京 100101
  • 收稿日期:2008-06-17 修回日期:2009-01-05 出版日期:2009-05-25 发布日期:2009-05-25
  • 作者简介:王敬贵(1975-),男,江西赣州人,博士。主要从事水土保持及水利GIS、遥感应用研究。
  • 基金资助:

    国家863项目(2006AA09Z139、2007AA12Z222)、908专项预研(908-03-01-09)和中科院知识创新项目(kzcx2-yw-304)共同支持。

Methodology and implementation of spatial data integration based on geo-ontologies

WANG Jing-gui1, DU Yun-yan2, SU Fen-zhen2, ZHOU Cheng-hu2   

  1. 1. Institute of Sciences Research, Pearl River Water Resources Commission, Guangzhou 510611, China;
    2. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
  • Received:2008-06-17 Revised:2009-01-05 Online:2009-05-25 Published:2009-05-25
  • Supported by:

    国家863项目(2006AA09Z139、2007AA12Z222)、908专项预研(908-03-01-09)和中科院知识创新项目(kzcx2-yw-304)共同支持。

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摘要：

为解决多源空间数据语义集成问题,在已有研究成果基础上,提出了基于地理本体的空间数据集成方法。该方法采用局部本体向标准本体集成的策略,在构建具有公共内涵属性模板的地理本体前提下,通过地理概念语义关系集合运算构建局部本体概念与标准本体概念间的语义映射关系,实现地理本体集成,并以这种语义映射关系及概念与对象类的关联关系为媒介,通过空间数据语义细化和空间对象融合 、分割等过程完成空间数据集成。在此基础上,设计开发了基于地理本体的空间数据集成原型系统,并以某土地利用数据为例进行了实证研究,结果表明:基于地理本体的空间数据集成方法能有效集成具有不同语义的空间数据集。

关键词: 空间数据集成, 地理本体, 本体集成, 系统实现

Abstract:

In order to resolve the problems of semantics integration of multi-source spatial data, based on the latest study results in spatial data and geo-ontology integrating fields, a method of spatial data integrating based on geo-ontologies was presented and a prototype system based on the method was implemented in this paper. The method was based on the hybrid ontology integration architecture and the strategy of local geo-ontologies integrating into standard geo-ontology was used, and all geo-ontologies involved in this method were described by a component called "Common Intension Property Panel" (CIPP) which included the intension properties of all geographic concepts in the concerned fields, and the CIPP was often given by the community specialists. Based on the CIPP, semantic relationships between geographic concepts in different geo-ontologies can be calculated and established, which can complete the integration of different geo-ontologies. Above all, the purpose and the key step of this method was to integrate spatial data which were from different information communities and had different goe-ontologies, and spatial data integration was completed based on semantic relationships between geographic concepts in different geo-ontologies and relationships between geographic concepts and feature classes, and included steps of SQL statements generating, feature sets selecting, geometry shape of selected features copying, and semantic granularity fining, spatial objects merging and splitting, and so on. Through these steps, spatial data having different geo-ontologies and their semantics were integrated successfully into the standard geodatabase, in which all feature classes have the same geo-ontology and semantics. Based on this method, a prototype system of spatial data integration based on geo-ontologies was designed and developed, which can provide users some convenient tools to build formal geo-ontologies automatically and integrate geo-ontologies and spatial datasets semi-automatically after integrating rules selected by users. The result of an example study of land use datasets integration using the prototype system showed that the spatial data integrating method based on geo-ontologies presented in this paper could integrate spatial datasets and their semantics efficiently.

Key words: spatial data integration, geo-ontology, ontology integration, system implementation