译 名：
RESEARCH ON CLASSIFICATION METHODS OF WEB INFORMATION EXTRACTION SYSTEMS
作 者：
WANG Zong-liang1,GAO Jing1,AmuGuleng2(1.College of Computer and Information Engineering Inner Mongolia Agricultural University,Huhhot 010018,China; 2.College of Science Inner Mongolia Agricultural University,Huhhot 010018,China)
关键词：
Information extraction;Web information extraction system;ACME;DOM;Hypertree;ILP;Template
摘 要：
How to obtain accurate and efficient information from the web has been a hot spot in information extraction field.This paper summarizes the classification method of the existing web information extraction,and classifies these web information extraction systems according to user's participation level,divides these web information extraction systems into Manual-created systems,User-supervised systems and Un-supervised systems,and this paper analyzes and compares these web information extraction systems from seven aspects.
