【24h】

The Geographical ontology, LDAP and The Space Information Semantic Grid

机译:地理本体,LDAP和空间信息语义网格

获取原文
获取原文并翻译 | 示例

摘要

The research purpose is to discuss the development trend and theory of the semantic integration and interoperability of Geography Information Systems on the network ages and to point out that the geography ontology is the foregone conclusion of the development of the semantic-based integration and interoperability of Geography Information Systems. After analyzing the effect by using the various new technologies, the paper proposes new idea for the family of the ontology class based on the GIS knowledge built here. They are the basic ontology, the domain ontology and the application ontology and are very useful for the sharing and transferring of the semantic information between the complicated distributed systems and object abstracting. The main contributions of the paper are as follows: 1) For the first time taking the ontology and LDAP (Lightweight Directory Access Protocol) in creating and optimizing the architecture of Spatial Information Gird and accelerating the fusion of Geography Information System and other domain's information systems.2) For the first time, introducing a hybrid method to build geography ontology. This hybrid method mixes the excellence of the independent domain expert and data mining. It improves the efficiency of the method of the domain expert and builds ontology semi-automatically.3) For the first time, implementing the many-to-many relationship of integration ontology system by LDAP's reference and creating ontology-based virtual organization that could provide transparent service to guests.
机译:研究目的是探讨网络时代地理信息系统语义集成和互操作性的发展趋势和理论,指出地理本体论是地理语义集成和互操作性发展的必然结论。信息系统。在使用各种新技术分析效果之后,本文基于在此构建的GIS知识为本体类家族提出了新的思路。它们是基础本体,领域本体和应用程序本体,对于在复杂的分布式系统之间进行语义信息的共享和传递以及对象抽象非常有用。本文的主要贡献如下:1)首次采用本体和LDAP(轻型目录访问协议)创建和优化空间信息网格的体系结构,并加速了地理信息系统与其他领域的信息系统的融合.2)首次引入一种混合方法来构建地理本体。这种混合方法融合了独立领域专家和数据挖掘的卓越能力。 3)首次通过LDAP的参考实现集成本体系统的多对多关系,并创建了基于本体的虚拟组织,该虚拟组织可以提供对客人的透明服务。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号