Abstract
The paper investigates techniques for extracting data from large set of dynamic web pages. Dynamically generated web pages from a single web site have a common semi structure for all the data objects. A wrapper of these dynamic web pages is defined as a common template for these pages with different data objects embedded in each web page. Information Extraction is done in three steps: (a) Data Rich Section Extraction from each web page (b) Automated generation of wrapper (c) Data extraction from each web page by comparing it with the wrapper. Wrapper generation is the most important part of this process. Our focus was on developing new improved techniques for wrapper generation. Our technique is fully automated and we were able to achieve good increase in accuracy and speed.
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© 2005 Springer-Verlag Berlin Heidelberg
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Jindal, N. (2005). Wrapper Generation for Automatic Data Extraction from Large Web Sites. In: Bhalla, S. (eds) Databases in Networked Information Systems. DNIS 2005. Lecture Notes in Computer Science, vol 3433. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-31970-2_3
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DOI: https://doi.org/10.1007/978-3-540-31970-2_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25361-7
Online ISBN: 978-3-540-31970-2
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