poster

Automatic extraction of structure, content and usage data statistics of web sites

Authors:

Ioannis Paparrizos,

Vassiliki Koutsonikola,

Lefteris Angelis,

Athena VakaliAuthors Info & Claims

HT '10: Proceedings of the 21st ACM conference on Hypertext and hypermedia

Pages 301 - 302

https://doi.org/10.1145/1810617.1810685

Published: 13 June 2010 Publication History

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Abstract

In this paper we present a web mining tool which automatically extracts the structure, content and usage data statistics of web sites. This work inspired by the fact that web mining consists of three axes: web structure mining, web content mining and web usage mining. Each one of those axes is using the structure, content and usage data respectively. The scope is to use the developed multi-thread web crawler as a tool to automatically extract from web pages data that are associated with each one of those three axes in order afterwards to compute several useful descriptive statistics and apply advanced mathematical and statistical methods. A description of our system is provided as well as some experimentation results.

References

[1]

Aitchison J. The Statistical Analysis of Compositional Data. Monographs on Statistics and Applied Probability. Chapman & Hall Ltd, 1986.

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[2]

Osmar Rachid Za. Resource And Knowledge Discovery From The Internet And Multimedia Repositories. Technical report, Phd dissertation, Simon Fraser University, March 1999.

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[3]

Thió-Henestrosa S., Gómez O., Cepero R., CODAPACK 3D. A new version of Compositional Data Package. 3rd Compositional Data Analysis Workshop. Girona, 2008.

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Index Terms

Automatic extraction of structure, content and usage data statistics of web sites
1. Computing methodologies
  1. Symbolic and algebraic manipulation
    1. Symbolic and algebraic algorithms
      1. Nonalgebraic algorithms
2. Information systems
  1. Information systems applications

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Published In

HT '10: Proceedings of the 21st ACM conference on Hypertext and hypermedia

June 2010

328 pages

ISBN:9781450300414

DOI:10.1145/1810617

General Chair:
Mark Chignell
University of Toronto
,
Program Chair:
Elaine Toms
Dalhousie University

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 June 2010

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HT '10: 21st ACM Conference on Hypertext and Hypermedia

June 13 - 16, 2010

Ontario, Toronto, Canada

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Overall Acceptance Rate 378 of 1,158 submissions, 33%

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Web data mining: exploring hyperlinks, contents, and usage data

Information Extraction Using Web Usage Mining, Web Scrapping and Semantic Annotation

Intelligent crawling of web applications for web archiving

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