Year: 2009
Type: conference-paper
Abstract: 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.
Authors: Z. Akbar, L.T. Handoko
Institution: Indonesian Institute of Sciences
Language: English
Topic: Web Data Mining and Analysis
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2129136176