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

Author

Listed:
  • Marta Sabou

    (Technical University of Vienna)

  • Irem Onder

    (MODUL University Vienna)

  • Adrian M. P. Brasoveanu

    (MODUL University Vienna)

  • Arno Scharl

    (MODUL University Vienna)

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.

Suggested Citation

  • Marta Sabou & Irem Onder & Adrian M. P. Brasoveanu & Arno Scharl, 2016. "Towards cross-domain data analytics in tourism: a linked data based approach," Information Technology & Tourism, Springer, vol. 16(1), pages 71-101, March.
    • Handle: RePEc:spr:infott:v:16:y:2016:i:1:d:10.1007_s40558-015-0049-5
    DOI: 10.1007/s40558-015-0049-5
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    References listed on IDEAS

    as
    1. Christian Bizer & Tom Heath & Tim Berners-Lee, 2009. "Linked Data - The Story So Far," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 5(3), pages 1-22, July.
    2. Marta Sabou & Adrian M. P. Brașoveanu & Irem Önder, 2015. "Linked Data for Cross-Domain Decision-Making in Tourism," Springer Books, in: Iis Tussyadiah & Alessandro Inversini (ed.), Information and Communication Technologies in Tourism 2015, edition 127, pages 197-210, Springer.
    3. Ander García & Maria Teresa Linaza & Javier Franco & Miriam Juaristi, 2015. "Methodology for the Publication of Linked Open Data from Small and Medium Size DMOs," Springer Books, in: Iis Tussyadiah & Alessandro Inversini (ed.), Information and Communication Technologies in Tourism 2015, edition 127, pages 183-195, Springer.
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    Cited by:

    1. Marco Valeri & Rodolfo Baggio, 2021. "A critical reflection on the adoption of blockchain in tourism," Information Technology & Tourism, Springer, vol. 23(2), pages 121-132, June.
    2. Safaa Hussein & Eman Ahmed, 2022. "Mobile Application for Tourism: The Case of Egypt," International Journal of Customer Relationship Marketing and Management (IJCRMM), IGI Global, vol. 13(1), pages 1-29, January.

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