Olera: Semisupervised web-data extraction with visual support

作     者：Chang, CH Kuo, SC 

作者机构：Natl Cent Univ Dept Comp Sci & Informat Engn Chungli Taiwan 

出 版 物：《IEEE INTELLIGENT SYSTEMS》 (IEEE Intell. Syst.)

年 卷 期：2004年第19卷第6期

页      面：56-64页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：The Ministry of Education Taiwan sponsored this work under grant 92-H-FA07-1-4 

主　　题：Semistructured Data Web Data Extraction Multiple String Alignment Rule Generalization 

摘      要：OLEPA is a semisupervised information-extraction system that produces extraction rules from semistructured Web documents without requiring detailed annotation of the training documents. It performs well for program-generated Web pages with few training pages and limited user intervention.