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农用地分等汇总制图综合知识规则的建立
引用本文:王振宇,周兴华,谢毅.农用地分等汇总制图综合知识规则的建立[J].国土资源科技管理,2006,23(5):83-86.
作者姓名:王振宇  周兴华  谢毅
作者单位:1. 国家海洋局,第一海洋研究所,山东,青岛,266061
2. 青岛市市政工程设计研究院,山东,青岛,266061
摘    要:目前基于知识的地图综合已有一定程度的研究,但大都集中在地形数据或地形图综合知识的研究上,针对某一专题的制图综合知识规则更不多见,主要原因在于专题地图类型的多样性以及对专业知识的特殊要求限制了这方面的研究.因此有必要针对某一领域的专题地图分别建立制图综合知识规则,促进专题地图综合知识的系统化、规范化及专题地图自动综合的发展.因此在现有的各种技术规范和综合规则的基础上,结合农用地分等汇总制图综合的实际工作,较全面的总结农用地分等汇总制图综合过程中需要遵循和运用的知识,包括基于应用的知识、专家知识、图形和拓扑关系知识、语义知识、过程性知识,并用人工智能中的产生式规则进行知识表达.

关 键 词:农用地分等  制图综合  知识规则
文章编号:1009-4210(2006)05-83-04
收稿时间:2006-04-03
修稿时间:2006-07-25

Establishment of Knowledge Rules for Generalization of Farmland Classification Integration
WANG Zhen-yu,HOU Xing-hua,XIE Yi.Establishment of Knowledge Rules for Generalization of Farmland Classification Integration[J].Scientific and Technological Management of Land and Resources,2006,23(5):83-86.
Authors:WANG Zhen-yu  HOU Xing-hua  XIE Yi
Institution:1.First Institute of Oceanography, SOA, Qingdao, 266061, China; 2. Qingdao Institute of Civil Engineering Design and Research, Qingdao, 266061, China
Abstract:Knowledge-based generalization has been studied to some extent, but mostly focused on the research of generalization knowledge of topographic data or map, scarcely for a certain special purpose. The variety of special purpose map and the special needs of expert knowledge restrict the research in this respect. Therefore it is necessary to establish knowledge rules for generalization of a certain special purpose map one by one, which can accelerate the systematization and standardization of special purpose map and the development of automatic generalization. Based on the studies of farmland classification and generalization rules, this paper discusses in detail the generalization knowledge for the farmland classification integration, including expert knowledge, graphic and topological relationship knowledge, operation knowledge, thematic knowledge, and represents these knowledge with Production- Rule method of artificial intelligence.
Keywords:farmland classification  generalization  knowledge rules
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