The Word Wide Web has become one of the most important information repositories. However, information in web pages is free from standards in presentation and lacks being organized in a good format. It is a challenging work to extract appropriate and useful information from Web pages. Currently, many web extraction systems called web wrappers, either semi-automatic or fully-automatic, have been developed. In this paper, some existing techniques are investigated, then our current work on web information extraction is presented. In our design, we have classified the patterns of information into static and non-static structures and use different technique to extract the relevant information. In our implementation, patterns are represented with XSL files, and all the extracted information is packaged into a machine-readable format of XML. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Lam, M. I., Gong, Z., & Muyeba, M. (2008). A method for web information extraction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4976 LNCS, pp. 383–394). https://doi.org/10.1007/978-3-540-78849-2_39
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