ABSTRACT
Decision makers in the tourism domain routinely need to combine and compare statistical indicators about tourism and other related areas (e.g., economic). While many organizations offer relevant data sets, their automatic access and reuse is hampered (i) by them being offered as data dumps in non-semantic encodings; (ii) by them assuming some implicit knowledge that is necessary to build applications (e.g., that a city is situated in a certain country) and (iii) by the use of incompatible ways to measure the same indicator without formally specifying the assumptions behind the measurement technique. We explore the use of linked data technologies to solve these issues by triplifying the content of TourMIS, a broadly used data source of European tourism statistics and by building a prototype system using this data.
- Badiee, S. 2012. Open Data at the World Bank: 2 years today. Blogpost. http://blogs.worldbank.org/opendata/open-data-at-the-world-bank-2-years-old-todayGoogle Scholar
- Frechtling, D., C. 2001. Forecasting Tourism Demand: Methods and Strategies. Butterworth Heinemann.Google Scholar
- Stronge, W. B. 1993. Statistical Measurements in Tourism. In VNR's Encycl. of Hospitality and Tourism, pp. 735--745.Google Scholar
- Vrandecic, D., Lange, C., Hausenblas, M., Bao, J. and Ding, L. 2010. Semantics of Governmental Statistics Data. In Proc. of the WebSci.Google Scholar
- Wöber, K. 2003. Information supply in tourism management by marketing decision support systems. Tourism Management. 24:3, pp:241--255.Google ScholarCross Ref
- Zapilko, B., Harth, A. Mathiak, B. 2011. Enriching and analysing statistics with Linked Open Data. In Eurostat Conf. on New Techniques and Technologies for Statistics (NTTS)Google Scholar
- Supporting tourism decision making with linked data
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