Research On The Knowledge Rules For The Generalization Of Farmland Classification Integration

At present, the knowledge-based generalization have been researched to some extent, but most of them focus on the research of generalization knowledge of topographic data or map, aim at a certain special purpose is rare. The variety of special purpose map and the special needs of expert knowledge restrict the research on this aspect. So it is necessary to establish knowledge rules for generalization of a certain special purpose map one by one, which can accelerate systematization and standardization of special purpose map and development of automatic generalization. At the present time the pro farmland classification integration are spread gradually on a national scale, Under the circumstances, this paper try to establish knowledge rules for generalization of the farmland classification integration.This paper synoptically discusses the conception of farmland classification, characteristic of data, basic theory and methods of generalization and knowledge classification, acquisition and expression firstly. Secondly based on existing practical standard and generalization rules detailed discusses the generalization knowledge for the farmland classification integration, the generalization knowledge is composed of expert knowledge, graphic and topological relationship knowledge, operation knowledge, thematic knowledge etc, and then represent these knowledge with Production-Rule method of artificial intelligence. And then base on the generalization knowledge do experiment with some data of county farmland classification, through the experiment try to prove the knowledge system, at the same time provides an applicable method for automatic generalization of the farmland classification integration.