矢量图形的知识获取与XML文档的智能生成

提出了一种从矢量图形中抽取出图元关联规则知识,利用正向知识推理来完成整个图形中图元的搜索,并获取各个图元信息智能生成文本信息的方法。这是一种通用的图文转换的智能生成方法,不同类型的矢量图形只需更换图元关联知识,都能利用知识推理方法智能生成XML(ExtensibleMarkupLanguage)文本。通过舰艇编队突击方案图转换成突击方案XML文本的实例进行了说明。

The Knowledge-Extracting of Vector-graph and the Intelligence-Making of XML Document

This thesis puts forward a method which can extract the rule of the relationship between elements in vector-graph, and uses obverse knowledge reasoning to complete the search of elements in whole vector-graph, and acquires the information of elements in vector-graph to make document intelligently. This is a universal and intelligent method of transforming form vector-graph to document. If changes the rule of the relationship between elements in vector-graph, all inhomogeneous vector-graph can make XML document intelligently with knowledge reasoning. This thesis illuminates the method by an example, which transforms the graph of the shock scheme of ship formation to the XML document of shock scheme.