Web Object Block Mining Based on Tag Similarity

Author

Liu, Rui ; Xiong, Rui ; Gao, Kun

Author_Institution

State Key Lab. of Software Dev. Environ., Beihang Univ., Beijing, China

Volume

3

fYear

2010

fDate

11-12 May 2010

Firstpage

1159

Lastpage

1162

Abstract

Currently, a large number of Web information on the Internet is presented in structured objects. Mining object information from Web is of great importance for Web data management. This paper presents a Web object block mining method based on tag similarity. It first constructs a DOM tree for the Web page and calculates the similarity of all possible generalized nodes. Then a pruning method is used to filter the redundant information based on the features of noise data and find the Web object region. Finally the Web objects are identified in the Web object region. The experiment results show that, comparing to IEPAD, our method got a higher precision.

Keywords

Internet; data mining; information retrieval; trees (mathematics); DOM tree; Internet; Web data management; Web information; Web object block mining method; pruning method; tag similarity; Automation; Data mining; HTML; Information filtering; Information filters; Intelligent structures; Internet; Machine learning algorithms; Programming; Web pages; DOM tree; Generalized Node; Information Extraction; Tag Similarity; Web Object Region;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on

Conference_Location

Changsha

Print_ISBN

978-1-4244-7279-6

Electronic_ISBN

978-1-4244-7280-2

Type

conf

DOI

10.1109/ICICTA.2010.684

Filename

5523219