eCite Digital Repository

Webpage segments classification with incremental knowledge acquisition

Citation

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]

Copyright Statement

Copyright 2010 Springer-Verlag Berlin Heidelberg

Official URL: http://www.sersc.org/FGIT2010/

Abstract

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 and Image Processing
Research Field:Expert Systems
Objective Division:Information and Communication Services
Objective Group:Information Services
Objective Field:Electronic Information Storage and Retrieval Services
Author:Guo, W (Mr Wei Guo)
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
Downloads:0

Repository Staff Only: item control page