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A fully automated object extraction system for the World Wide Web

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3 Author(s)
Buttler, D. ; Coll. of Comput., Georgia Inst. of Technol., Atlanta, GA, USA ; Ling Liu ; Pu, C.

This paper presents a fully automated object extraction system Omini. A distinct feature of Omini is the suite of algorithms and the automatically learned information extraction rules for discovering and extracting objects from dynamic Web pages or static Web pages that contain multiple object instances. We evaluated the system using more than 2,000 Web pages over 40 sites. It achieves 100% precision (returns only correct objects) and excellent recall (between 99% and 98%, with very few significant objects left out). The object boundary identification algorithms are fast, about 0.1 second per page with a simple optimization

Published in:
Distributed Computing Systems, 2001. 21st International Conference on.

Date of Conference: Apr 2001

Page(s):
361 - 370
Meeting Date :
16 Apr 2001-19 Apr 2001
Print ISBN:
0-7695-1077-9
INSPEC Accession Number:
6940066
Conference Location :
Mesa, AZ
Digital Object Identifier :
10.1109/ICDSC.2001.918966
Product Type:
Conference Publications

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