Intelligent geospatial information retrieval for agricultural ezperts — a knowledge-based method
Increasing online geospatial data bring agriculture experts more available data resource and puzzles at the same time. One reason of puzzles comes from their lack of geoinformatic professional knowledge, by which people can understand and gather appropriate geospatial information for spatial analysis. The paper analyzes such knowledge insufficiency of agricultural experts and develops an intelligent method to help them 剈nderstand. and search geospatial information. The method suggests a model termed geography area that exists in analyzers. mind; it outlines and models the interested geospatial information with 9 factors of 3 dimensions. The essential of the method is to supplement the insufficiency by adding geoinformatic professional knowledge and a spatial reasoner on the knowledge and geography area into spatial analysis. The reasoner can help agricultural experts “understand geospatial data and calculates their relevance to a geography area for a given spatial analysis. Finally a proof-of-concept experiment is undertaken to valid the proposal method.
geospatial information retrieval spatial cognition geoinformatics knowledge.
Jian Wang Bing-bo Gao Zhi-qiang Wang Fang-qu Niu
National Engineering Research Center for Information Technology in Agriculture (NERCITA),Beijing 100 Institute of Geography Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 1
国际会议
北京
英文
1-7
2009-10-14（万方平台首次上网日期，不代表论文的发表时间）