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Tourism Websites Network: Crawling the Italian Webspace

Authors:
Alessandro Longheu
Giuseppe Mangioni
Marialaura Previti

Keywords: web pages categorization; text classification; Support Vector Machine (SVM); complex networks; tourism management.

Abstract:
The relevance of tourism is increasing more and more in the globalized economy. To improve management of tourism activities, the analysis of tourism related data deserves a major attention. In this work, we investigate on the Italian tourism website network, exploiting crawling and classifying techniques in order to extract and analyze such network, with the final goal of providing useful information for tourism management stakeholders.

Pages: 131 to 136

Copyright: Copyright (c) IARIA, 2016

Publication date: October 9, 2016

Published in: conference

ISSN: 2308-4464

ISBN: 978-1-61208-510-4

Location: Venice, Italy

Dates: from October 9, 2016 to October 13, 2016