可缩放矢量格式地图图层定义及模糊查询模型  

Fuzzy Query for Scalable Vector Graphics Format Map Based on Layer Definition

作　　者：杜庆峰[1] 钱浩然[1] 

机构地区：[1]同济大学软件学院,上海201804

出　　处：《同济大学学报（自然科学版）》2017年第6期922-929,940,共9页Journal of Tongji University:Natural Science

基　　金：国家自然科学基金(41171303)

摘　　要：根据图层定义,提出了针对可缩放矢量图形(SVG)格式地图的模糊查询模型.通过构建模糊查询词库来储存模糊查询相关词和模糊查询匹配模式.在此基础上,提出了分词子算法,将查询语句分解为词串.据此给出了语义分析子算法,将分词子算法产生的词串转化成模糊查询匹配模式,并与SVG格式地图相关层(一层或多层)中的元素关联以实现模糊查询.最后实验验证证明了该模型的有效性.A fuzzy query model for scalable vector graphics （SVG） format maps with layer definitions is proposed in this paper. In the model, a word repository is constructed to store the related words and fuzzy query patterns. When users execute queries, a word segmentation sub-algorithm decomposes the query statement into words according to the word repository. Then a semantic analysis sub-algorithm converts the words to the fuzzy query patterns. The fuzzy query patterns are connected with the elements on a related layer or layers in an SVG format map. These elements will be highlighted as query results. Experiments are conducted to validate the effectiveness of the proposed model.

关 键 词：可缩放矢量图形(SVG)格式地图 图层 词库 分词 语义分析 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]