Computer Science – Information Retrieval
Scientific paper
2009-05-30
Computer Science
Information Retrieval
5 pages, Proceeding of the 2009 International Conference on Signal Processing Systems pp. 551-555
Scientific paper
10.1109/ICSPS.2009.86
We propose a new technique to infer the structure and extract the tokens of data from the semi-structured web sources which are generated using a consistent template or layout with some implicit regularities. The attributes are extracted and labeled reversely from the region of interest of targeted contents. This is in contrast with the existing techniques which always generate the trees from the root. We argue and show that our technique is simpler, more accurate and effective especially to detect the changes of the templates of targeted web pages.
Akbar Zaenal
Handoko Laksana Tri
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