Agricultural Market Name Geo-Iocating System Based on Administrative Ontology and Internet Search Engine
This article presents a measure of associating the market names published on agricultural web sites with its location for geographical analysis of the agricultural product prices. It presents algorithms that take advantage of administrative ontology and the statistics of the search results of general search engine in resolving geo-locating of agricultural markets. Experimental evaluation against large corpus of several market names demonstrated that the measure performs better than the traditional human-annotating approach. The experimental results demonstrate their effectiveness in resolving the geolocating problem in practice.
Agriculture Markets Geo-locating ontology Search Engine Pearsons Chi-square Test
HU Yi-min SONG Liang-tu WEI Yuan-yuan Huang He WANG Xue
Institute of Intelligent Machines, Chinese Academy of Science, Hefei 230031, P.R.China School of Inf Institute of Intelligent Machines, Chinese Academy of Science, Hefei 230031, P.R.China
国际会议
2010 International Symposium on Agricultural Ontology Service(农业本体服务2010年国际学术研讨会)
北京
英文
98-106
2010-10-30（万方平台首次上网日期，不代表论文的发表时间）