会议专题

Research on HRegExp Applied to GML Parsing

In order to parse GML data more effectively and accurately, the homologous regular expression (abbreviated to HRegExp) which is a powerful grammar tool for recognizing strings of text is put forward. HRegExp is generated from the regular expression by rational extension and reconstruction. The syntax structure and elements internal organization of simple data type and complex data type in GML schemas can be described perfectly by using HRegExp. A universal GML parser based on HRegExp, which will provide a public platform for many GIS researches on spatial data issues, is established to implement GML data parsing. An integrative GML grammatical and semantic database, which resolves the problem of how to describe simple data type and complex data type in schemas, is also discussed in this paper. In the end, an example of GML data parsing is shown to illustrate the validity of HRegExp.

GML Parsing IGSD regular expression HRegExp SAX

Xiaoli Gao Haixia Li Shuliang Zhang Yehua Sheng

Information Engineering Department, Shandong Water Polytechnic, Rizhao, China Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Nanjing, China

国际会议

2012 Fifth International Symposium on Computational Intelligence and Design 第五届计算智能与设计国际会议 ISCID 2012

杭州

英文

792-795

2012-10-28(万方平台首次上网日期,不代表论文的发表时间)