Seite - 51 - in Intelligent Environments 2019 - Workshop Proceedings of the 15th International Conference on Intelligent Environments

demic researchersand the tourist industrystakeholders.The futureworkwillbe focused on refiningsomecoreaspectsof thisproposal andexploringnewmethodsandmeans to enhance thepromotionof tourism-relatedactivities forPeoplewithDisabilities. Acknowledgements Thework has been partly supported byRISEWISE (RISEWomenwith disabilities In SocialEngagement)projectunder theAgreementN690874andbyFCT Fundac¸a˜opara a Cieˆncia e a Tecnologia (Portuguese Foundation for Science and Technology) within theProjectScope:UID/CEC/00319/2019. References [1] J. Pesonen andM.Lampi,Utilizing open data in tourism, in:ENTER2016Conference on Information andCommunicationTechnologies inTourism, 2016. [2] E.Pantano,C.-V.Priporas andN.Stylos,Youwill like it!usingopendata topredict tourists’ response to a tourist attraction,TourismManagement60 (2017), 430–438. [3] D. Labbe´,W.C.Miller andR. Ng, Participatingmore, participating better: Health benefits of adaptive leisure forpeoplewithdisabilities,Disabilityandhealth journal12(2) (2019), 287–295. [4] M. Nitti, D. Giusto, S. Zanda, M. Di Francesco, C. Casari, M.L. Clemente, C. Lai, C. Milesi and V.Popescu,UsingIoTforAccessibleTourisminSmartCities, in:AssistiveTechnologies inSmartCities, IntechOpen,2018. [5] S.O. Lyu,Which accessible travel products are peoplewith disabilities willing to paymore?A choice experiment,TourismManagement59 (2017), 404–412. [6] J.Zhou,G.Cui,Z.Zhang,C.Yang,Z.LiuandM.Sun,Graphneuralnetworks:Areviewofmethodsand applications,arXivpreprintarXiv:1812.08434 (2018). [7] Z. Zhang, P. Cui and W. Zhu, Deep learning on graphs: A survey, arXiv preprint arXiv:1812.04202 (2018). [8] H. Paulheim,Knowledge graph refinement: A survey of approaches and evaluationmethods, Semantic web8(3) (2017), 489–508. M.GomesandP.Novais /AData-DrivenTool toPromoteTourism forPeoplewithDisabilities 51