Separating XHTML content from navigation clutter using DOM-structure block analysis

Constantine Mantratzis*, Mehmet Orgun, Steve Cassidy

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

38 Citations (Scopus)

Abstract

This short paper gives an overview of the principles behind an algorithm that separates the core-content of a web document from hyperlinked-clutter such as text advertisements and long links of syndicated references to other resources.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 extract the core-content from 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.

Original languageEnglish
Title of host publicationProceedings of the HT 2005 - Sixteenth ACM Conference on Hypertext and Hypermedia 6-9 Sept. 2005, Salzburg, Austria
EditorsSiegfried Reich, Manolis Tzagarkis
Place of PublicationNew York, NY
PublisherACM
Pages145-147
Number of pages3
ISBN (Print)1595931686, 9781595931689
DOIs
Publication statusPublished - Sep 2005
Event16th ACM Conference on Hypertext and Hypermedia, HT - 2005 - Salzburg, Austria
Duration: 6 Sep 20059 Sep 2005

Other

Other16th ACM Conference on Hypertext and Hypermedia, HT - 2005
CountryAustria
CitySalzburg
Period6/09/059/09/05

Keywords

  • Content extraction
  • DOM tree
  • HTML document
  • Hyperlink lists
  • Information retrieval
  • XHTML document

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