Title :
Intelligent search algorithm for modern tobacco agriculture
Author :
Lian Jie ; Wang De-ji ; Hui Xiong
Author_Institution :
Henan Radio & Telev. Univ., Zhengzhou, China
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;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
DOI :
10.1109/WCICA.2012.6357992
