应用科学学报 ›› 2004, Vol. 22 ›› Issue (3): 291-297.

• 论文 • 上一篇    下一篇

地理专家系统的知识化数据模式研究

付炜1,2   

  1. 1 燕山大学通信与电子工程系 河北秦皇岛 066004;
    2 新疆大学电子科学与信息工程学院 新疆乌鲁木齐 830046
  • 收稿日期:2003-06-22 修回日期:2003-11-03 出版日期:2004-09-30 发布日期:2004-09-30
  • 作者简介:付炜(1949-),男,山东青岛人,教授,博导.
  • 基金资助:
    乌鲁木齐河流域土地资源动态监测信息系统研究项目(69662001)

Research on the Intellectual Data Model of the Geographic Expert System

FU Wei1,2   

  1. 1. Department of Communication & Electronic Engineering, Yanshan University, Qinhuangdao 066004, China;
    2. College of Electronic Science & Information Engineering, Xinjiang University, Urumqi 830046, China
  • Received:2003-06-22 Revised:2003-11-03 Online:2004-09-30 Published:2004-09-30

摘要: 介绍了地理专家系统的知识化数据模式的设计原理与实现方法,采用知识表示的框架网络结构描述地理环境的实体单元,将各级专家知识的表示以指针链接,形成了由知识到语义的框架网络.采用了基于知识的扩展R-F关系数据模式进行专家知识的表示,并讨论了系统知识库的组织结构和推理机的设计原理.该数据结构可以实现地理实体及其相互关系的完整性描述,并使系统知识库的操作简便易行,保证了推理机的实现.并以乌鲁木齐河流域为试验区,阐述了流域土地合理利用规划决策专家知识的表示方法,以及专家知识表示的基本规则和系统专家知识的组织方式.此外,还讨论了系统推理机推理规则的设计原理与组织方法及推理算法.

关键词: 知识表示, 框架网络结构, 知识化数据结构

Abstract: This paper presents the design principle and realizable approach for the intellectual data model of the geographic expert system. With the frame network structure of knowledge, the author describes the entity units of geo-environment, and links the expression of expert knowledge at different levels with the pointer so that it becomes the frame network from knowledge to semantics. Also, the author expresses expert knowledge with extended R-F relational model based on intelligence, and discusses organizational structure of the knowledge base in the system and the design principle of inference engine. The data structure can be used to realize an integrated description for geographic entities and their interrelations, and the knowledge base of the system can be operated simply and easily with the model, and therefore, the inference mechanism can be assuredly realized. Taking Urumqi river basin as a test region, the author expounds the expression approach of the expert knowledge involved in the planning and decision concerning the rational use of land in the basin as well as the basic rules of expert knowledge expression and the organization models of expert knowledge in the system. Furthermore, the author also discusses the design principles and organization method of the inference rules and the inference algorithms of inference engine in the system.

Key words: knowledge expression, frame network structure, intellectual data model

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