Multi-Level and Multiple Aspect Semantic Trajectory Model: Application to the Tourism Domain

Cécile Cayèré (1) , Christian Sallaberry (2) , Cyril Faucher (1) , Marie-Noelle Bessagnet (2) , Philippe Roose (2) , Maxime Masson (3) , Jérémy Richard (1)

1 L3I - Laboratoire Informatique, Image et Interaction - EA 2118
2 LIUPPA - Laboratoire Informatique de l'Université de Pau et des Pays de l'Adour
3 UPPA - Université de Pau et des Pays de l'Adour

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.

Domaines: Informatique [cs]

Cécile Cayèré, Christian Sallaberry, Cyril Faucher, Marie-Noelle Bessagnet, Philippe Roose, et al.. Multi-Level and Multiple Aspect Semantic Trajectory Model: Application to the Tourism Domain. ISPRS International Journal of Geo-Information, 2021, 10 (9), pp.592. ⟨10.3390/ijgi10090592⟩. ⟨hal-03390858⟩