2020

Conférence

In The 14th International Baltic Conference on Databases and Information Systems (BalticDB&IS 2020).

Tracking tourists activities at different levels of their journeys provides an overview on their mobility and a comprehension of their behavior and preferences. Most information related to tourism services and tourists are collected and stored through web platforms. In fact, self-drive tourists access touristic information available on the web to plan for their trips. Accordingly, tourism professionals track their requirements in touristic information and then their mobility. Yet, since touristic information is managed at a territorial level, tracking tourists' movement by tourism professionals, out of their territory, is not a straightforward task. Accordingly, the latters do not have a complete overview of tourists movements. Throughout this paper authors will start by discussing mobility data capture through the web and the related challenges. Then, they'll introduce an integrated mobility data model for tracking tourists.

@inproceedings{sakouhi:hal-02869356,
  TITLE = {{A Mobility Data Model for Web-Based Tourists Tracking}},
  AUTHOR = {Sakouhi, Thouraya and Malki, Jamal and Akaichi, Jalel},
  URL = {https://hal.science/hal-02869356},
  BOOKTITLE = {{The 14th International Baltic Conference on Databases and Information Systems (BalticDB\&IS 2020)}},
  ADDRESS = {Tallinn, Estonia},
  YEAR = {2020},
  MONTH = Jun,
  KEYWORDS = {Web-based tracking ; Ontology ; Semantic modeling ; Trajectory ; Mobility data},
  PDF = {https://hal.science/hal-02869356v1/file/paper1.pdf},
  HAL_ID = {hal-02869356},
  HAL_VERSION = {v1},
}