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@INPROCEEDINGS{,
     author = {Calbimonte, Jean-Paul and Martin, Simon and Calvaresi, Davide and Zappellaz, Nancy and Hilfiker, Roger and Cotting, Alexandre},
      title = {Semantic Data Models for Hiking Trail Difficulty Assessment},
  booktitle = {ENTER Information and Communication Technologies in Tourism},
       year = {2020},
      pages = {295-306},
  publisher = {Springer},
        doi = {https://doi.org/10.1007/978-3-030-36737-4_24},
   abstract = {Hiking is a popular outdoor activity that if practiced regularly, can bring significant health benefits. Moreover, considering that hikers range from expert mountaineers to older adults with limited physical capabilities, it touches a large target audience, and is strategically included in several tourism packages across the globe. Thus, a precise characterization of the tracks, especially regarding their points of difficulty, is crucial to effectively cope with the challenge of identifying the best-suited hiking trails for heterogeneous users. This paper introduces a semantic model for representing and integrating the main characteristics of a track, including their different types of difficulties, using Semantic Web ontologies. The construction of knowledge graphs that use such a model may constitute a first step towards a system for personalized recommendations of trails based on difficulty-classification criteria.}
}