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