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Webpage segments classification with incremental knowledge acquisition
conference contribution
posted on 2023-05-23, 05:06 authored by Guo, W, Kim, YS, Byeong KangByeong KangThis paper suggests an incremental information extraction method for social network analysis of web publications. For this purpose, we employed an incremental knowledge acquisition method, called MCRDR (Multiple Clas- sification Ripple-Down Rules), to classify web page segments. Our experimen- tal results show that our MCRDR-based web page segments classification system successfully supports easy acquisition and maintenance of information extraction rules
History
Publication title
U- and E-Service, Science and Technology U- and E-Service, Science and TechnologyEditors
T-H Kim, J Ma, W Fang, B Park, BH Kang, D SlezakPagination
79-87ISBN
978-3-642-17643-2Department/School
School of Information and Communication TechnologyPublisher
Springer-VerlagPlace of publication
GermanyEvent title
U- and E-Service, Science and Technology (UNESST), held as part of the Future Generation Information Technology Conference (FGIT)Event Venue
Jeju Island, KoreaDate of Event (Start Date)
2010-12-13Date of Event (End Date)
2010-12-15Rights statement
Copyright 2010 Springer-Verlag Berlin HeidelbergRepository Status
- Restricted
