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Webpage segments classification with incremental knowledge acquisition


Guo, W and Kim, YS and Kang, BH, Webpage segments classification with incremental knowledge acquisition, U- and E-Service, Science and Technology U- and E-Service, Science and Technology, 13-15 December 2010, Jeju Island, Korea, pp. 79-87. ISBN 978-3-642-17643-2 (2010) [Refereed Conference Paper]

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Copyright 2010 Springer-Verlag Berlin Heidelberg

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This 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

Item Details

Item Type:Refereed Conference Paper
Keywords:Information extraction, social networks, knowledge acquisition.
Research Division:Information and Computing Sciences
Research Group:Artificial intelligence
Research Field:Knowledge representation and reasoning
Objective Division:Information and Communication Services
Objective Group:Information services
Objective Field:Electronic information storage and retrieval services
UTAS Author:Guo, W (Mr Wei Guo)
UTAS Author:Kang, BH (Professor Byeong Kang)
ID Code:66916
Year Published:2010
Deposited By:Information and Communication Technology
Deposited On:2011-02-18
Last Modified:2014-12-09

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