TY  - CONF
T1  - Semantic Data Models for Hiking Trail Difficulty Assessment
A1  - Calbimonte, Jean-Paul
A1  - Martin, Simon
A1  - Calvaresi, Davide
A1  - Zappellaz, Nancy
A1  - Hilfiker, Roger
A1  - Cotting, Alexandre
TI  - ENTER Information and Communication Technologies in Tourism
Y1  - 2020
SP  - 295
EP  - 306
PB  - Springer
M2  - doi: https://doi.org/10.1007/978-3-030-36737-4_24
N2  - 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.
ER  -