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2008 19th International Conference on Database and Expert Systems Application
Text Extraction from the Web via Text-to-Tag Ratio
September 01-September 05
ISBN: 978-0-7695-3299-8
ASCII Text
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Tim Weninger, William H. Hsu, "Text Extraction from the Web via Text-to-Tag Ratio," Database and Expert Systems Applications, International Workshop on, pp. 23-28, 2008 19th International Conference on Database and Expert Systems Application, 2008.
 
 
BibTex
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@article{ 10.1109/DEXA.2008.12,
author = {Tim Weninger and William H. Hsu},
title = {Text Extraction from the Web via Text-to-Tag Ratio},
journal ={Database and Expert Systems Applications, International Workshop on},
volume = {0},
year = {2008},
issn = {1529-4188},
pages = {23-28},
doi = {http://doi.ieeecomputersociety.org/10.1109/DEXA.2008.12},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Database and Expert Systems Applications, International Workshop on
TI - Text Extraction from the Web via Text-to-Tag Ratio
SN - 1529-4188
SP23
EP28
A1 - Tim Weninger,
A1 - William H. Hsu,
PY - 2008
KW - Information Extraction
KW - Web
KW - Histogram
VL - 0
JA - Database and Expert Systems Applications, International Workshop on
ER -
 
We describe a method to extract content text from diverse Web pages by using the HTML document's Text-To-Tag Ratio rather than specific HTML cues that may not be constant across various Web pages. We describe how to compute the Text-To-Tag Ratio on a line-by-line basis and then cluster the results into content and non-content areas. With this approach we then show surprisingly high levels of recall for all levels of precision, and a large space savings.
Index Terms:
Information Extraction, Web, Histogram
Citation:
Tim Weninger, William H. Hsu, "Text Extraction from the Web via Text-to-Tag Ratio," dexa, pp.23-28, 2008 19th International Conference on Database and Expert Systems Application, 2008
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