Abstract
Evidence-based Health Tourism (EHT) is a branch of general tourism foreseeing tourists to travel with the aim of receiving healing treatments or enhancing a specific mental, physical or spiritual health condition through medically-proven offers. EHT competitiveness is increasingly linked to the sustainability and exploitation of unique natural resources of tourism destinations, which often lack the access to knowledge and networks of stakeholders to improve their offerings, even by the use of digital tools. This study illustrates a Collaborative Design approach for the development of an ontology-based Decision Support System for modelling the relationships between the available natural resources, the value offerings and the target groups of EHT destinations in the Alpine region. The Collaborative Design approach foresees the involvement of end-users (i.e. EHT destinations, stakeholders and tourists) as both sources of knowledge and validators of the ontology and its outputs, aiming to inform decision-making processes in a shared knowledge model.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Chang, L., Beise-Zee, R.: Consumer perception of healthfulness and appraisal of health-promoting tourist destinations. Tourism Rev. 68(1) (2013). https://www.emerald.com/insight/content/doi/10.1108/16605371311310066/full/html
Steckenbauer, G.C., Tischler, S., Hartl, A., Pichler, C.: Destination and product development rested on evidence-based health tourism. The Routledge handbook of health tourism, pp. 315–331 (2017)
Grafetstätter, C., et al.: Does waterfall aerosol influence mucosal immunity and chronic stress? A randomized controlled clinical trial. J. Physiol. Anthropol. 36, 1–12 (2017)
Pieroni, A., Giusti, M.E.: Alpine ethnobotany in Italy: traditional knowledge of gastronomic and medicinal plants among the Occitans of the upper Varaita valley piedmont. J. Ethnobiol. Ethnomed. 5, 1–13 (2009)
Prossegger, J., et al.: Effects of moderate mountain hiking and balneotherapy on community-dwelling older people: a randomized controlled trial. Exp. Gerontol. 122, 74–84 (2019)
Pessot, E., Spoladore, D., Zangiacomi, A., Sacco, M.: Natural resources in health tourism: a systematic literature review. Sustainability 13, 2661 (2021)
Wong, B.K.M., Hazley, S.A.S.: The future of health tourism in the industrial revolution 4.0 era. J. Tourism Futures 7(2) (2020). https://www.emerald.com/insight/content/doi/10.1108/JTF-01-2020-0006/full/html
Spoladore, D., Pessot, E., Sacco, M.: HEALPS 2: tourism based on natural health resources for the development of alpine regions. ERCIM News 123, 41 (2020)
Spoladore, D.: Ontology-based decision support systems for health data management to support collaboration in ambient assisted living and work reintegration. In: Working Conference on Virtual Enterprises, pp. 341–352. Springer (2017). https://doi.org/10.1007/978-3-319-65151-4_32
Spoladore, D., Sacco, M.: Towards a collaborative ontology-based decision support system to foster healthy and tailored diets. In: Working Conference on Virtual Enterprises, pp. 634–643. Springer (2020). https://doi.org/10.1007/978-3-030-62412-5_52
Chantrapornchai, C., Choksuchat, C.: Ontology construction and application in practice case study of health tourism in Thailand. SpringerPlus 5(1), 1–31 (2016). https://doi.org/10.1186/s40064-016-3747-3
Khallouki, H., Abatal, A., Bahaj, M.: An ontology-based context awareness for smart tourism recommendation system. In: Proceedings of the International Conference on Learning and Optimization Algorithms: Theory and Applications, pp. 1–5 (2018)
Frikha, M., Mhiri, M., Gargouri, F., et al.: A semantic social recommender system using ontologies based approach for Tunisian tourism (2015)
Lee, H.J., Park, S.Y., Jin, H.R., Sohn, M.: A smart orchestrator of ecosystem in medical tourism. In: Proceedings of the 18th Annual International Conference on Electronic Commerce: e-Commerce in Smart connected World, pp. 1–8 (2016)
Spoladore, D., Pessot, E.: Collaborative ontology engineering methodologies for the development of decision support systems: case studies in the healthcare domain. Electronics 10, 1060 (2021)
Kotis, K.I., Vouros, G.A., Spiliotopoulos, D.: Ontology engineering methodologies for the evolution of living and reused on-tologies: status, trends, findings and recommendations. Knowl. Eng. Rev. 35, 1–34 (2020). https://www.cambridge.org/core/journals/knowledge-engineering-review/article/ontology-engineering-methodologies-for-the-evolution-of-living-and-reused-ontologies-status-trends-findings-and-recommendations/7A2D8D844EE0369C24967E156910AB50
Simperl, E., Luczak-Rösch, M.: Collaborative ontology engineering: a survey (2014)
De Nicola, A., Missikoff, M.: A lightweight methodology for rapid ontology engineering. Commun. ACM 59, 79–86 (2016)
Pan, J.Z.: Resource description framework. In: Handbook on Ontologies, pp. 71–90. Springer (2009). https://doi.org/10.1007/978-3-540-92673-3_3
Antoniou, G., Van Harmelen, F.: Web ontology language: OWL. In: Handbook on Ontologies, pp. 67–92. Springer (2004). https://doi.org/10.1007/978-3-540-24750-0_4
Horrocks, I., Patel-Schneider, P.F., Boley, H., Tabet, S., Grosof, B., Dean, M., et al.: SWRL: a semantic web rule language combining OWL and RuleML. W3C Member Submission 21, 1–31 (2004)
Tudorache, T., Noy, N.F., Tu, S., Musen, M.A.: Supporting collaborative ontology development in protégé. In: Sheth, A., et al. (eds.) ISWC 2008. LNCS, vol. 5318, pp. 17–32. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-88564-1_2
Sirin, E., Parsia, B., Grau, B.C., Kalyanpur, A., Katz, Y.: Pellet: a practical OWL-DL reasoner. J. Web Semant. 5, 51–53 (2007)
Acknowledgments
Acknowledgments. HEALPS2 started in October 2019 and will run until June 2022 and is co-financed by the European Regional Development Fund through the Interreg Alpine Space Programme.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 IFIP International Federation for Information Processing
About this paper
Cite this paper
Spoladore, D., Pessot, E., Bischof, M., Hartl, A., Sacco, M. (2021). Collaborative Design Approach for the Development of an Ontology-Based Decision Support System in Health Tourism. In: Camarinha-Matos, L.M., Boucher, X., Afsarmanesh, H. (eds) Smart and Sustainable Collaborative Networks 4.0. PRO-VE 2021. IFIP Advances in Information and Communication Technology, vol 629. Springer, Cham. https://doi.org/10.1007/978-3-030-85969-5_59
Download citation
DOI: https://doi.org/10.1007/978-3-030-85969-5_59
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-85968-8
Online ISBN: 978-3-030-85969-5
eBook Packages: Computer ScienceComputer Science (R0)