Title :
Event Element Identify of Internet Context
Author_Institution :
Dept. of Comput. Sci. & Technol., Beijing Foreign Studies Univ., Beijing, China
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;
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
DOI :
10.1109/MINES.2010.26
