Abstract
Here we design a semantic trajectory model responding to specific needs expressed by tourism analyst experts. Thus, this model takes into account: (i) the description of sequences of imbricated semantic segments, (ii) the definition of enrichment data integrating spatial, temporal and thematic dimensions and (iii) the association of such data with positions or with trajectory segments. Each of these features is necessary for the processing and analysis of tourist mobility data, which we will detail. For validation purposes, we experiment our model on two outdoor mobility track scenarios computed in a processing chain. We also show that our model is generic and extensible thanks to two other scenarios on different datasets.
Highlights
The Nouvelle Aquitaine DA3T regional project aims at improving the management and the valorization of the coastal tourist territories of Nouvelle Aquitaine by exploiting both indoor and outdoor touristic mobility tracks and contextual data
The model we propose addresses two main challenges concerning the description of raw mobility data, on the one hand, and the description of associated semantic features, on the other hand
We present semantic trajectory models that can be used in the domain of tourism
Summary
The Nouvelle Aquitaine DA3T regional project (in English, Device for the Analysis of Digital Tracks for the Valuation of Touristic Territories) aims at improving the management and the valorization of the coastal tourist territories of Nouvelle Aquitaine by exploiting both indoor and outdoor touristic mobility tracks and contextual data. The representation of computed data (e.g., speed) or contextual data from external resources (e.g., weather) is important to enrich the movement This data will be associated with positions or trajectory segments. We describe a mobility track through different sequences of trajectory segments annotated with semantic features. These segments represent movement characteristics: (i) disjoint semantic segments (e.g., “the tourist walks in the street goes to the museum”); (ii) imbricated semantic segments (e.g., “at the end of their visit, the tourist buys a book in the museum store”).
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