Title :
The Dynamic Web Pages Information Extraction Algorithm Based on Sequence Alignment
Author :
Guo, Dongwei ; Li, Dan ; Liu, Miao ; Liu, Yanbin ; Chen, Sha
Author_Institution :
Colledge of Comput. Sci. & Technol., Jilin Univ., Changchun, China
Abstract :
In this paper, ´common framework´ is defined as the information which is irrelative to the kernel contents of Web pages and common in Web pages from the same source, such as headers, tails, advertisements, orientations of browsers and flash etc. Sequence alignment is adopted in the information extraction algorithm to detect the common framework. After eliminating the common frameworks from Web pages, the data fields obtained will be more suitable for information extraction. On data-intensive Web pages from real-world Websites, the effects of the alignment parameter on extraction results and the phase of common framework detection on decreasing data quantity and increasing extraction accuracy were tested and evaluated. The experimental results proved the validity of this approach convincingly.
Keywords :
Internet; information retrieval; Websites; data quantity; dynamic Web pages information extraction algorithm; sequence alignment; Classification tree analysis; Computer science; Data mining; HTML; Hidden Markov models; Kernel; Network servers; Tail; Web pages; Web server;
Conference_Titel :
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3605-7
DOI :
10.1109/CSO.2009.200