Segmenting the Web document with document object model

Author

Luo, Jianli ; Shen, Jie ; Xie, Cuihua

Author_Institution

Dept. of Comput. Sci., Yangzhou Univ., Jiangsu, China

fYear

2004

fDate

15-18 Sept. 2004

Firstpage

449

Lastpage

452

Abstract

We present a model about DOM-based Web document segmentation using the semistructure information of Web pages. This model builds DOM tree of the Web page by parsing HTML tags which organize structure of the Web page. By improving traditional plain text segmentation algorithms, we expand these algorithms to suit Web text segmentation. Then, with the boundaries between the nodes in the DOM tree, precision of segmentation results can be increased further.

Keywords

Internet; grammars; hypermedia markup languages; information retrieval; text analysis; tree data structures; DOM tree; HTML tag; Web document segmentation; Web page; document object model; text segmentation algorithm; HTML; Image segmentation; Indexing; Information filtering; Information filters; Information retrieval; Internet telephony; Natural language processing; Personal digital assistants; Web pages;

fLanguage

English

Publisher

ieee

Conference_Titel

Services Computing, 2004. (SCC 2004). Proceedings. 2004 IEEE International Conference on

Print_ISBN

0-7695-2225-4

Type

conf

DOI

10.1109/SCC.2004.1358040

Filename

1358040

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1932709