Towards cross-domain data analytics in tourism: a linked data based approach

Marta Sabou (), Irem Onder (), Adrian M. P. Brasoveanu and Arno Scharl
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Marta Sabou: Technical University of Vienna
Irem Onder: MODUL University Vienna
Adrian M. P. Brasoveanu: MODUL University Vienna
Arno Scharl: MODUL University Vienna

Information Technology & Tourism, 2016, vol. 16, issue 1, No 5, 101 pages

Abstract: Abstract The complexity of the social, political and economical settings in which tourism enterprises operate, increasingly require them to perform data analytics tasks that rely on data from various domains (e.g., economy, environmental sustainability). A survey of tourism practitioners performed in this study showed that although such cross-domain analytics are important, they are primarily performed by relying on manual data collection and aggregation, which is both time-consuming and error-prone. This paper investigates the suitability of Linked Data technologies to support data aggregation tasks needed for establishing such complex analytics systems. To that end, a prototypical implementation is developed that relies on Linked Data as a technological platform for integrating data from three major tourism data sources: TourMIS, World Bank and Eurostat. Enabled by this integrated data, the ETIHQ Dashboard for data analytics was implemented, the first visual data analytics system that supports cross-domain analytics over tourism, economic and sustainability indicators. An exploratory evaluation performed with practitioners shows that this Linked Data enabled system could potentially bring important improvements in terms of execution times and answer quality when compared to current manual approaches typically used by tourism practitioners in daily practice.

Keywords: Data analytics; Information integration; Linked data; Statistical data; Visual dashboard (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (4)

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DOI: 10.1007/s40558-015-0049-5

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