Web classification is used in many security devices for preventing users to access selected web sites that are not allowed by the current security policy, as well for improving web search and for implementing contextual advertising. There are many commercial web classification services available on the market and a few publicly available web directory services. Unfortunately they mostly focus on English-speaking web sites, making them unsuitable for other languages in terms of classification reliability and coverage. This paper covers the design and implementation of a web-based classification tool for TLDs (Top Level Domain). Each domain is classified by analysing the main domain web site, and classifying it in categories according to its content. The tool has been successfully validated by classifying all the registered .it Internet domains, whose results are presented in this paper.

Large Scale Web-Content Classification

L Deri;M Martinelli;L Sideri;
2015

Abstract

Web classification is used in many security devices for preventing users to access selected web sites that are not allowed by the current security policy, as well for improving web search and for implementing contextual advertising. There are many commercial web classification services available on the market and a few publicly available web directory services. Unfortunately they mostly focus on English-speaking web sites, making them unsuitable for other languages in terms of classification reliability and coverage. This paper covers the design and implementation of a web-based classification tool for TLDs (Top Level Domain). Each domain is classified by analysing the main domain web site, and classifying it in categories according to its content. The tool has been successfully validated by classifying all the registered .it Internet domains, whose results are presented in this paper.
2015
Istituto di informatica e telematica - IIT
HTTP crawling
Internet Domain
SVM
Web-Content Classification
Web Mining
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/311697
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