Information Extraction from Semi-structured WEB Page Based on DOM Tree and its Application in Scientific Literature Statistical Analysis System

Author

Li Weidong ; Dong Yibing ; Wang Ruijiang ; Tian Hongxia

Author_Institution

Sch. of Inf. Technol., Hebei Univ. of Econ. & Bus., Shijiazhuang, China

fYear

2009

fDate

11-12 July 2009

Firstpage

124

Lastpage

127

Abstract

To extract information automatically from semi-structured Web pages, this paper puts forward a method named IESS for discovering the record model based on DOM and maximal similar sub tree, to identify records automatically and correctly when there are some differences in expression models of records that belong to the same type. To test the performance of the method, a scientific literature statistical analysis system is designed. The practice shows that users can quickly understand the distribution of papers in their retrieving field and grasp the importance with the help of the system.

Keywords

Web sites; information retrieval; statistical analysis; tree data structures; DOM tree; IESS method; information extraction; maximal similar sub tree; scientific literature statistical analysis system; semistructured Web page; Application software; Conference management; Data mining; Databases; Engineering management; HTML; Information management; Statistical analysis; Technology management; Web pages; Automatic information extraction; DOM; Scientific Literature; Statistical Analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Services Science, Management and Engineering, 2009. SSME '09. IITA International Conference on

Conference_Location

Zhangjiajie

Print_ISBN

978-0-7695-3729-0

Type

conf

DOI

10.1109/SSME.2009.59

Filename

5233332