DocumentCode
1700863
Title
Event Element Identify of Internet Context
Author
Chen, Fu
Author_Institution
Dept. of Comput. Sci. & Technol., Beijing Foreign Studies Univ., Beijing, China
fYear
2010
Firstpage
85
Lastpage
88
Abstract
Information on Internet is so huge,and increases quickly. A huge information pool is coming up on the Internet. And much important information can be found on the Internet. Internet is really an important source of information. So extract the key words from the pages on Internet is so important. A page description model based on undirection graph is proposed and then a entity ranking algorithm named ER is proposed too. The inspiration of ER come from the PR algorithm. And the experiment with ACECrop2005 show that the algorithm has a high efficiency.
Keywords
Internet; directed graphs; feature extraction; information retrieval; Internet context; entity ranking algorithm; event element identification; key words extraction; page description model; undirection graph; Algorithm design and analysis; Context; Data mining; Erbium; Internet; Machine learning; Web pages;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Information Networking and Security (MINES), 2010 International Conference on
Conference_Location
Nanjing, Jiangsu
Print_ISBN
978-1-4244-8626-7
Electronic_ISBN
978-0-7695-4258-4
Type
conf
DOI
10.1109/MINES.2010.26
Filename
5670923
Link To Document