Semantic Data Models for Hiking Trail Difficulty Assessment
| Publicatietype: | In proceedings |
| Citatie: | |
| Boektitel: | ENTER Information and Communication Technologies in Tourism |
| Jaar: | 2020 |
| Pagina's: | 295-306 |
| Uitgever: | Springer |
| DOI: | https://doi.org/10.1007/978-3-030-36737-4_24 |
| Samenvatting: | 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. |
| Trefwoorden: | |
| Auteurs | |
| Toegevoegd door: | [] |
| Totaalscore: | 0 |
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