A Method forWeb Content Extraction and Analysis in the Tourism Domain

Ermelinda Oro, Massimo Ruffolo

2017

Abstract

Big data generated across the web is assuming growing importance in producing insights useful to understand real-world phenomena and to make smarter decisions. The tourism is one of the leading growth sectors, therefore, methods and technologies that simplify and empower web contents gathering, processing, and analysis are becoming more and more important in this application area. In this paper, we present a web content analytics method that automates and simplifies content extraction and acquisition from many different web sources, like newspapers and social networks, accelerate content cleaning, analysis, and annotation, makes faster insights generation by visual exploration of analysis results. We, also, describe an application to a real-world use case regarding the analysis of the touristic impact of the Italian Open tennis tournament. Obtained results show that our method makes the analysis of news and social media posts more easy, agile, and effective.

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Paper Citation


in Harvard Style

Oro E. and Ruffolo M. (2017). A Method forWeb Content Extraction and Analysis in the Tourism Domain . In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-247-9, pages 365-370. DOI: 10.5220/0006371103650370


in Bibtex Style

@conference{iceis17,
author={Ermelinda Oro and Massimo Ruffolo},
title={A Method forWeb Content Extraction and Analysis in the Tourism Domain},
booktitle={Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2017},
pages={365-370},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006371103650370},
isbn={978-989-758-247-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - A Method forWeb Content Extraction and Analysis in the Tourism Domain
SN - 978-989-758-247-9
AU - Oro E.
AU - Ruffolo M.
PY - 2017
SP - 365
EP - 370
DO - 10.5220/0006371103650370