Title :
Research on Clustering for Agriculture Information
Author :
Wang, Deji ; Wang, Rujing ; Wang, Yu ; Zha, Shihong
Author_Institution :
Inst. of Intelligent Machines, Chinese Acad. of Sci., Hefei
Abstract :
"11th Five-Year Plan" regarded the issue of "san nong" (agriculture, rural area and farmer) as the most important thing. Agriculture information is very important to solve the rural poverty. But how to get the value information exactly is very difficult. Joachims has introduced supervised clustering based on SVM. But it is not specific. In this paper, semantic cosine similarity based on agriculture ontology is introduced into SVM to cluster the web agriculture information. Experiments proof that it is efficient and powerful
Keywords :
agriculture; government policies; pattern clustering; support vector machines; SVM; Web agriculture information; agriculture information clustering; agriculture ontology; rural poverty; san nong; supervised clustering; support vector machine; Agricultural engineering; Agriculture; Automation; Intelligent control; Machine intelligence; Ontologies; Power engineering and energy; Support vector machines; Water conservation; SVM; agriculture information; ontology;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1712827
