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Abstract: Hasan Davulcu Guizhen Yang Michael Kifer I.V. Ramakrishnan Department of Computer Science SUNY at Stony Brook Stony Brook, NY 11794-4400, USA fdavulcu,guizyang,kifer,ramg@cs.sunysb.edu ABSTRACT Automatic data extraction from semistructured sources such as HTML pages is rapidly growing into a problem of signi - cant importance, spurred by the growing popularity of the so called "shopbots" that enable end users to compare prices of goods and other services at various web sites without... (Update)
Context of citations to this paper: More
...under a large class of variations in the page layout. Some of the techniques used to create unambiguous resilient expressions are detailed in [7]. To illustrate the idea, consider the second visible table in Figure 1 (below the Component Detail header) This table is actually...
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BibTeX entry: (Update)
H. Davulcu, G. Yang, M. Kifer, and I. Ramakrishnan. Computational aspects of resilient data extraction from semistructured sources. In 19th ACM Symposium on Principles of Database Systems, 136--144, 2000. http://citeseer.ist.psu.edu/davulcu00computational.html More
@inproceedings{ davulcu00computational,
author = "Hasan Davulcu and Guizhen Yang and Michael Kifer and I. V. Ramakrishnan",
title = "Computational Aspects of Resilient Data Extraction from Semistructured Sources",
booktitle = "Symposium on Principles of Database Systems",
pages = "136-144",
year = "2000",
url = "citeseer.ist.psu.edu/davulcu00computational.html" }
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