DocumentCode
577632
Title
Intelligent search algorithm for modern tobacco agriculture
Author
Lian Jie ; Wang De-ji ; Hui Xiong
Author_Institution
Henan Radio & Telev. Univ., Zhengzhou, China
fYear
2012
fDate
6-8 July 2012
Firstpage
823
Lastpage
826
Abstract
In this paper, semantic cosine similarity based on tobacco agriculture ontology is introduced into SVM to cluster the web agriculture information. Experiments proof that it is more efficient and powerful. The final comparison between search engine based on the algorithm and general search engines, also proof that the algorithm is effective and accurate.
Keywords
Internet; agriculture; ontologies (artificial intelligence); search engines; support vector machines; SVM; Web agriculture information; intelligent search algorithm; modern tobacco agriculture; search engine; semantic cosine similarity; tobacco agriculture ontology; Agriculture; Clustering algorithms; Electronic mail; Ontologies; Search engines; Semantics; Support vector machines; Modern Tobacco; Ontology; SVM;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location
Beijing
Print_ISBN
978-1-4673-1397-1
Type
conf
DOI
10.1109/WCICA.2012.6357992
Filename
6357992
Link To Document