DocumentCode :
2833581
Title :
Intelligent search engine model based on similarity computation
Author :
Mai Fanjin ; Yue Xiaoguang ; Zhao Ziqiang
Author_Institution :
Modern Educ. Technol. Center, Guilin Univ. of Technol., Guilin, China
Volume :
1
fYear :
2010
fDate :
21-24 May 2010
Abstract :
Similarity computation is the idea that integrates knowledge of semantic similarity computation and contrary degree calculation into a unifying concept in this paper. An intelligent search engine model is designed based on the similarity computation and DotLucene. The new intelligent search engine model can understand the natural language of user, and gives the right answers to user. Finally, all those theories are demonstrated with the feasibility and validity by the experiment of the intelligent search engine model.
Keywords :
natural language processing; search engines; word processing; DotLucene; contrary degree calculation; intelligent search engine model; semantic similarity computation; user natural language; Displays; Educational institutions; Educational technology; Internet; Natural languages; Registers; Search engines; Software systems; DotLucene; contrary degree calculation; semantic similarity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Future Computer and Communication (ICFCC), 2010 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5821-9
Type :
conf
DOI :
10.1109/ICFCC.2010.5497851
Filename :
5497851
Link To Document :
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