Abstract
Tourism is a growing industry which needs accurate management and planning. Photography and tourism are inseparable; Photographs play the role of tourists’ footprints during their visit to a touristic city. Nowadays, the large deployment of mobile devices and digital cameras has led to a massive increase in the volume of records of where people have been and when they were there. In this paper, we introduce a new method to automatically discover the touristic attractions of every single city with the use of two open-source platforms, Flickr and OpenStreetMap. We applied techniques to convert raw metadata of geotagged photos downloaded from Flickr to information about popular Points of Interest with the help of additional information retrieved from OpenStreetMap.
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Acknowledgements
The work and results reported in this paper are part of broader research in tourist movement analysis that I did during my Ph.D. at the University of Pisa, Italy. I want to thank Prof. Matwin who is one of the co-authors of this paper because of all his support and help alongside my own supervisors (Dr. Nanni and Prof. Pedreschi) to finish my Ph.D. and finalize this research.
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Vaziri, F., Nanni, M., Matwin, S., Pedreschi, D. (2020). Discovering Tourist Attractions of Cities Using Flickr and OpenStreetMap Data. In: Rocha, Á., Abreu, A., de Carvalho, J., Liberato, D., González, E., Liberato, P. (eds) Advances in Tourism, Technology and Smart Systems. Smart Innovation, Systems and Technologies, vol 171. Springer, Singapore. https://doi.org/10.1007/978-981-15-2024-2_21
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DOI: https://doi.org/10.1007/978-981-15-2024-2_21
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