DocumentCode :
1940805
Title :
DOM-Based XHTML Document Structure Analysis Separating Content from Navigation Elements
Author :
Mantratzis, Constantine ; Cassidy, Steve
Author_Institution :
Dept. of Comput., Macquarie Univ., North Ryde, NSW
Volume :
1
fYear :
2005
fDate :
28-30 Nov. 2005
Firstpage :
632
Lastpage :
637
Abstract :
This paper describes an algorithm that attempts to distinguish core content from clutter within a Web document. The end goal is to aid in the separation of the core-content from hyperlinked-clutter such as text advertisements and long links of syndicated references to other Web documents. Its advantage over other approaches is its ability to identify both loosely as well as tightly defined "table-like" or "list-like" structures of hyperlinks (from nested tables to simple, bullet-pointed lists) by operating at various levels within the DOM tree. The resulting data can then be used to "narrow down" the core-content of a Web document for semantic analysis or other information retrieval purposes as well as to aid in the process of "clipping" a Web document to its bare essentials for use with hardware-limited devices such as PDAs and cell phones
Keywords :
Web sites; hypermedia markup languages; information retrieval; text analysis; DOM tree; DOM-based XHTML document structure analysis; Web document; hardware-limited device; information retrieval; list-like hyperlink structure; semantic analysis; table-like hyperlink structure; text advertisement; Advertising; Blogs; Cellular phones; DVD; Information analysis; Information retrieval; Navigation; Personal digital assistants; Text analysis; Web pages;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-7695-2504-0
Type :
conf
DOI :
10.1109/CIMCA.2005.1631334
Filename :
1631334
Link To Document :
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