DocumentCode
2262703
Title
Web object information extraction based on generalized hidden Markov model
Author
Wang, Jing ; Yao, Yong ; Liu, Zhijing
Author_Institution
Xidian Univ., Xi´´an
fYear
2007
fDate
17-19 Oct. 2007
Firstpage
1520
Lastpage
1523
Abstract
Due to the differences between Web page and plain text document, the concept of Web object is introduced in this paper. Besides, the supposed state transition and the emission symbol conditions are improved based on generalized hidden Markov model (GHMM), and a novel web objects information extraction method is proposed. Finally, through an example, it shows that the proposed method has a very high precision for Web objects information extraction.
Keywords
Internet; hidden Markov models; information retrieval; Web object information extraction; Web page; emission symbol condition; generalized hidden Markov model; plain text document; state transition; Data mining; Hidden Markov models; Information technology; Generalized Hidden Markov Model (GHMM); Hidden Markov Model; Information Extraction; Web Object;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications and Information Technologies, 2007. ISCIT '07. International Symposium on
Conference_Location
Sydney,. NSW
Print_ISBN
978-1-4244-0976-1
Electronic_ISBN
978-1-4244-0977-8
Type
conf
DOI
10.1109/ISCIT.2007.4392257
Filename
4392257
Link To Document