Abstract
In today’s global economy, tourism managers need to consider a range of factors when making important decisions. Besides traditional tourism indicators (such as arrivals or bednights) they also need to take into account indicators from other domains, for example, economy and sustainability. From a technology perspective, building decision support systems that would allow inspecting indicators from different domains in order to understand their (potential) correlations, is a challenging task. Indeed, tourism (and other indicators), while mostly available as open data, are stored using database centric technologies that require tedious manual efforts for combining the data sets. In this paper we describe a Linked Data based solution to building an integrated dataset as a basis for a decision support system capable of enabling cross-domain decision-making. Concretely, we have exposed tourism statistics from TourMIS, a core source of European tourism statistics, as linked data and used it subsequently to connect to other sources of indicators. A visual dashboard explores this integrated data to offer cross-domain decision support to tourism managers.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Berners-Lee, T., Hendler, J., & Lassila, O. (2001). The semantic Web. The Scientific American, May 2001.
Franke, T. (2006). TourBO: A prototype of a regional tourism advising system in Germany. In H. W. Daniel, R. Fesenmaier, & K. W. Wöber (Eds.), Destination recommendation systems: Behavioural foundations and applications (pp. 257–280). Wallingford: CABI.
Gruber, T. R. (1993). A translation approach to portable ontology specifications. Knowledge Acquisition, 5(2), 199–220.
Isele, R., Jentzsch, A., & Bizer, C. (2010). Silk server – Adding missing links while consuming linked data. COLD Workshop 2010.
Mazanec, J. A. (2006). Building adaptive systems: A neural net approach. In H. W. Daniel, R. Fesenmaier, & K. W. Wöber (Eds.), Destination recommendation systems: Behavioral foundations and applications (pp. 137–170). Wallingford: CABI.
Ricci, F., & Nguyen, Q. N. (2006). MobyRek: A conversational recommender system for on-the-move travellers. In H. W. Daniel, R. Fesenmaier, & K. W. Wöber (Eds.), Destination recommendation systems: Behavioural foundations and applications (pp. 281–294). Wallingford: CABI.
Ricci, F., Cavada, D., Mirzadeh, N., & Venturini, A. (2006). Case-based travel recommendations. In H. W. Daniel, R. Fesenmaier, & K. W. Wöber (Eds.), Destination recommendation systems: Behavioural foundations and applications (pp. 67–93). Wallingford: CABI.
Ricci, F., Fesenmaier, D. R., Mirzadeh, N., et al. (2006). DieToRecs: A case-based travel advisory system. In H. W. Daniel, R. Fesenmaier, & K. W. Wöber (Eds.), Destination recommendation systems: Behavioural foundations and applications (pp. 227–239). Wallingford: CABI.
Sabou, M., Arsal, I., & Brasoveanu, A. M. P. (2013). TourMISLOD: A tourism linked data set. Semantic Web Journal, 4(3), 271–276.
Wöber, K. (2003). Information supply in tourism management by marketing decision support systems. Tourism Management, 24(3), 241–255.
Zins, A., & Grabler, K. (2006). Destination recommendations based on travel decision styles. In H. W. Daniel, R. Fesenmaier, & K. W. Wöber (Eds.), Destination recommendation systems: Behavioural foundations and applications (pp. 94–120). Wallingford: CABI.
Acknowledgements
The work presented in this paper is partly funded by the PlanetData project (FP7:ICT-2009.3.4, #257641). We thank Prof. Karl Wöber and Prof. Arno Scharl for their contribution to the project.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Sabou, M., Brașoveanu, A.M.P., Önder, I. (2015). Linked Data for Cross-Domain Decision-Making in Tourism. In: Tussyadiah, I., Inversini, A. (eds) Information and Communication Technologies in Tourism 2015. Springer, Cham. https://doi.org/10.1007/978-3-319-14343-9_15
Download citation
DOI: https://doi.org/10.1007/978-3-319-14343-9_15
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-14342-2
Online ISBN: 978-3-319-14343-9
eBook Packages: Business and EconomicsBusiness and Management (R0)