BITOUR: A Business Intelligence Platform for Tourism Analysis

Autor: Alexander Bustamante, Laura Sebastia, Eva Onaindia
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: ISPRS International Journal of Geo-Information, Vol 9, Iss 11, p 671 (2020)
Druh dokumentu: article
ISSN: 2220-9964
DOI: 10.3390/ijgi9110671
Popis: Integrating collaborative data in data-driven Business Intelligence (BI) system brings an opportunity to foster the decision-making process towards improving tourism competitiveness. This article presents BITOUR, a BI platform that integrates four collaborative data sources (Twitter, Openstreetmap, Tripadvisor and Airbnb). BITOUR follows a classical BI architecture and provides functionalities for data transformation, data processing, data analysis and data visualization. At the core of the data processing, BITOUR offers mechanisms to identify tourists in Twitter, assign tweets to attractions and accommodation sites from Tripadvisor and Airbnb, analyze sentiments in opinions issued by tourists, and all this using geolocation objects in Openstreetmap. With all these ingredients, BITOUR enables data analysis and visualization to answer questions like the most frequented places by tourists, the average stay length or the view of visitors of some particular destination.
Databáze: Directory of Open Access Journals