河南农业大学学报2017，Vol.51Issue(3)：396-401,6.
基于关联语义融合的WebGIS数据库优化检索方法研究
Research on WebGIS database optimization retrieval method based on association semantic fusion
摘要
Abstract
By using the traditional fuzzy clustering method to WebGIS database retrieval,the suggested answer would probably fall into local convergence condition,which would result in low retrieval accuracy.In this paper,an optimized method of WebGIS database retrieval based on semantic clustering is proposed for the problem,which improves the retrieval capability of spatial datareleased on Web.Firstly,a digraph is used to construct the distribution model of retrieval node in WebGIS database.Secondly,the data in the information flow of WebGIS database is mined by association semantic character.The mined feature information will be used as a information clue in retrieval.Finally,a global optimal solution of database retrieval in the clustering center is found by using the associated semantic clustering which is achieved by adopting piecewise fusion fuzzy clustering methods.The simulation results show that the proposed method has a high accuracy,strong anti-interference ability and good convergence performance in the WebGIS database retrieval process.关键词
数据库/检索/WebGIS/语义/数据聚类Key words
database/retrieval/WebGIS/semantic/data clustering分类
信息技术与安全科学引用本文复制引用
李浩,李博..基于关联语义融合的WebGIS数据库优化检索方法研究[J].河南农业大学学报,2017,51(3):396-401,6.基金项目
国家自然科学基金资助项目(61501174) （61501174）
