地球信息科学学报 ›› 2012, Vol. 14 ›› Issue (5): 584-591.doi: 10.3724/SP.J.1047.2012.00584

• 地球信息科学理论方法 • 上一篇    下一篇

基于本体的网络地理空间数据集成

赵彦庆1,2, 肖如林3   

  1. 1. 中国科学院遥感应用研究所遥感科学国家重点实验室,北京 100101;
    2. 解放军61139部队,北京 100091;
    3. 环境保护部卫星环境应用中心,北京 100094
  • 收稿日期:2012-08-02 修回日期:2012-09-25 出版日期:2012-10-25 发布日期:2012-10-25
  • 作者简介:赵彦庆(1975-),男,在职博士生,高级工程师,主要从事网络地理信息系统及地理空间数据库方面的研究。 E-mail:chxyzyq@126.com
  • 基金资助:

    国家海洋局"908"专项基金资助项目(908-03-01-09); 中国科学院创新项目(KZCX1-YW-12-04)。

Integration of Web Geospatial Data Based on Ontology

ZHAO Yanqing1,2, XIAO Rulin3   

  1. 1. Institute of Remote Sensing Applications,CAS,Beijing 100101,China;
    2. Satellite Environmental Application Center, Ministry of Environmental Protection,Beijing 100094,China;
    3. No.61139 Troops of PLA,Beijing 100091,China
  • Received:2012-08-02 Revised:2012-09-25 Online:2012-10-25 Published:2012-10-25

摘要:

随着地理数据深度、广度和复杂度的不断增加,如何集成这些在结构、语法及语义上高度异质性的需求越来越迫切。尽管XML在一定程度上解决了结构异质性问题,OGC标准规范解决了语法异质性问题,但语义异质性问题仍然成为分布式环境下地理空间数据集成与互操作的最大障碍。本文提出了一种基于本体的网络地理空间数据集成方法:以本体思想对数据进行语义组织;结合OGC网络服务标准规范对数据进行服务语义发布;利用支持双向映射的混合本体模式来解决全局本体与各应用本体之间的冲突,实现数据的语义集成。通过海洋海岸带土地利用数据集成试验表明,本文方法不仅能够克服数据间语义异质性问题,并在很大程度上屏蔽了数据底层集成的复杂环节,使得数据集成过程简单、高效。

关键词: 本体, 语义, WFS, 地理空间数据, 语义映射, 集成

Abstract:

At present, semantic heterogeneity still presents challenges for geo-data integration in the open and distributed environment. Existing semantic heterogeneity resolving approaches enable semantic interoperability mostly through superficial semantic annotation of data such as using simple synonyms mapping between fields of different data schema, whereas hardly thinking of semantic data organization from bottom. They not only involve too many complex and trivial procedures for the user, but also require that the user should have enough knowledge. What is worse is that they can not solve problems once for all and not easy to use either. Consequently in this paper, we focus on semantic heterogeneity in geo-data source in open and distributed environment. We present an approach of ontology-based web geo-data integration that contributes to solving problems caused by semantic heterogeneity and hides most of the complexity of required procedures from the user. It reconciles such semantic conflicts by adopting the emerging semantic web technologies. On the basis of ontology-based semantic data organization and Open Geospatial Consortium's (OGC) Web Feature Service (WFS) publishing mechanism, a hybrid ontology approach is used to provide a global unified view. It acts as a semantic mediator among data sets that of each local application level ontologies and makes them interoperable via the global view. In this way, details involved in query mapping, data retrieval and data conversion are hidden and an intelligent retrieval and integration mechanism is provided for user. Its applicability and advantages are illustrated through a prototype application in a coastal land use scenario.

Key words: integration, semantic mapping, WFS, ontology, geospatial data, semantics