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Authors: Gavina Baralla 1 ; Simona Ibba 1 and Riccardo Zenoni 2

Affiliations: 1 University of Cagliari, Italy ; 2 Logica Solution srl, Italy

ISBN: 978-989-758-271-4

Keyword(s): Tourism, Complex Network, Sentiment Analysis, Social Semantic Tool, Hotel Revenue Management.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Analytics ; Business Intelligence Applications ; Data Analytics ; Data Engineering ; Data Mining in Electronic Commerce ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Symbolic Systems ; User Profiling and Recommender Systems

Abstract: Tourism business has become competitive and dynamic and it is essential to adapt both customers’ satisfaction and to market’s changing needs. A hotel owner faces three big challenges: he must look to attract new guests to its location, manage his hotel in the best performant way and has to adapt their online marketing strategy using several tools such as online travel agencies (OTA) or meta-search engines website or other players from the sharing economy. All these channels can complicate the hotelier’s life, making the tourism market and by removing in some areas the prices according to the seasons and the availability. In addition, consumer generated content (CGCs) influence the market and the revenue management making the web reputation even more important. This paper presents Aposentu, an innovative tool which integrates all the required components in order to successfully manage the hotel. The platform will be cloud computing technology based and it will show a proper da shboard with a lot of innovative functionalities. By using semantic tools, sentiment analysis, complex network metrics, the platform will allow the hoteliers to become more competitive in the tourism industry. Moreover, administrative complexity will be reduced and that will facilitate the management of accommodation. (More)

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Paper citation in several formats:
Baralla, G.; Ibba, S. and Zenoni, R. (2017). Aposentu: A Social Semantic Platform for Hotels.In Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, ISBN 978-989-758-271-4, pages 269-274. DOI: 10.5220/0006511702690274

@conference{kdir17,
author={Gavina Baralla. and Simona Ibba. and Riccardo Zenoni.},
title={Aposentu: A Social Semantic Platform for Hotels},
booktitle={Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR,},
year={2017},
pages={269-274},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006511702690274},
isbn={978-989-758-271-4},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR,
TI - Aposentu: A Social Semantic Platform for Hotels
SN - 978-989-758-271-4
AU - Baralla, G.
AU - Ibba, S.
AU - Zenoni, R.
PY - 2017
SP - 269
EP - 274
DO - 10.5220/0006511702690274

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