Title :
An Approach of Extracting Web Information Based on HTMLParser
Author :
Lin, Shan ; Hu, Yanzhong
Author_Institution :
Sch. of Comput. Sci. & Technol., Hubei Inst. of Technol., Wuhan, China
Abstract :
Now many applications need to analyze various detail contents of web pages. How to extract web information quickly and effectively becomes very important. Web information is primarily expressed by HTML. HTMLParser is an open project of SourceForge.net and can parse HTML in either a linear or a nested fashion. This paper analyzes the principle of extracting web information based on HTMLParser. In addition, it gives an approach of implementing web information extraction with the classes and methods provided by HTMLParser. At last, we demonstrate the detailed process of web information extraction by an example.
Keywords :
Internet; data handling; program compilers; HTMLParser; SourceForge.net project; Web information extraction; linear parsing; nested parsing; Data mining; Filtering theory; HTML; Information filters; Transforms; Web pages; HTMLParser; filter; visitor; web information extraction;
Conference_Titel :
Information Technology and Computer Science (ITCS), 2010 Second International Conference on
Conference_Location :
Kiev
Print_ISBN :
978-1-4244-7293-2
Electronic_ISBN :
978-1-4244-7294-9
DOI :
10.1109/ITCS.2010.76