Abstract | ||
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On the market there are many commercial web classification services 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 organised 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. |
Year | DOI | Venue |
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2015 | 10.1109/WI-IAT.2015.112 | WI-IAT |
Keywords | Field | DocType |
Internet Domain, Web-Content Classification, HTTP crawling, Web Mining, SVM | Static web page,Web design,Web development,Data mining,World Wide Web,Information retrieval,Web page,Computer science,Web standards,Data Web,Web query classification,Web directory | Conference |
Volume | Citations | PageRank |
1 | 0 | 0.34 |
References | Authors | |
4 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Luca Deri | 1 | 292 | 32.98 |
Maurizio Martinelli | 2 | 20 | 7.36 |
Daniele Sartiano | 3 | 10 | 3.98 |
Michela Serrecchia | 4 | 3 | 2.46 |
Loredana Sideri | 5 | 0 | 0.68 |
Sonia Prignoli | 6 | 0 | 0.34 |