(Georgia Institute of Technology, 2000)
Buttler, David John; Liu, Ling; Pu, Calton
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 93% 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.