Go home now Header Background Image
Submission Procedure
share: |
Follow us
Volume 14 / Issue 11

available in:   PDF (237 kB) PS (1 MB)
Similar Docs BibTeX   Write a comment
Links into Future
DOI:   10.3217/jucs-014-11-1877


Structure and Semantics of Data-IntensiveWeb Pages: An Experimental Study on their Relationships

Lorenzo Blanco (Università degli Studi Roma Tre, Italy)

Valter Crescenzi (Università degli Studi Roma Tre, Italy)

Paolo Merialdo (Università degli Studi Roma Tre, Italy)

Abstract: In data-intensive web sites pages are generated by scripts that embed data from a backend database into HTML templates. There is usually a relationship between the semantics of the data in a page and its corresponding template. For example, in a web site about sports events, it is likely that pages with data about athletes are associated with a template that differs from the template used to generate pages about coaches or referees. This article presents a method to classify web pages according to the associated template. Given a web page, the goal of our method is to accurately find the pages that are about the same topic. Our method leverages on a simple, yet effective model to abstract some structural features of a web page. We present the results of an extensive experimental analysis that show the performance of our methods in terms of both recall and precision regarding a large number of real-world web pages.

Keywords: clustering, data extraction, web page classification

Categories: H.3.3, I.2.6