DocumentCode
533141
Title
Word similarity computing in semantic retrieval
Author
Li Zhiping ; Ran Jie ; Sun Yu
Author_Institution
Center of Modern Educ. Technol., Yunnan Normal Univ., Kunming, China
Volume
13
fYear
2010
fDate
22-24 Oct. 2010
Abstract
Word similarity computing is a crucial question in information processing technology. In this paper, an integrated word similarity computing method is proposed by analyzing morpheme´s similarity, word order´s similarity and word length´s similarity, and parameters of the method are decided by experiments. The experiments results show that this method has high efficiency.
Keywords
information retrieval; text analysis; morpheme similarity; semantic retrieval; word length similarity; word order similarity; word similarity computing; Computer applications; Computers; Correlation; Libraries; Modeling; Ontologies; Semantics; Ontology; morpheme; semantic retrieval; similarity;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-7235-2
Electronic_ISBN
978-1-4244-7237-6
Type
conf
DOI
10.1109/ICCASM.2010.5622878
Filename
5622878
Link To Document