摘要
针对传统地理信息系统(GIS)结构化或半结构化属性查询方法对查询语句输入的精度及查询范围的限制,提出了以哈尔滨工业大学《同义词词林》扩展版文本相关度计算为核心的非结构化文本数据GIS描述性查询方法。基本过程是根据描述性查询语句计算其与地理要素所关联的文本的相关度,进而以相关度值得出概括性查询结果。对比实验结果表明,描述性查询方法不但支持查询语句输入的多样化,而且能够有效地得出与输入的描述性查询相关联的地理要素。
Since the traditional Geographic Information System （GIS） ＇s structured or semi-structured attribute query poses sort of limitation on input accuracy and scope of query sentences, a GIS descriptive query method for text-related nonstructured text data was suggested based on the expanded version of a dictionary of English synonyms, TongYiCi CiLin. compiled by Harbin Institute of Technology. Basic process is to calculate correlation between descriptive query sentence and text connected to the geographic element, then getting general query results according to it. The comparison experiment shows that descriptive query method not only supports diversity of input query sentence, but also effectively gets geographic element related to input descriptive query.
出处
《计算机应用》
CSCD
北大核心
2012年第9期2483-2487,共5页
journal of Computer Applications
基金
国家自然科学基金资助项目(40901197
41161061)
云南省自然科学基金资助项目(2008D032M)
云南省教育厅重点基金资助项目(2001Z006)
关键词
同义词词林
描述性查询
非结构化数据
地理信息系统
TongYiCi CiLin
descriptive query
unstructured data
Geographic Information System （GIS）
