On Modeling and Analyzing Museum Visitor Movements with Semantic Trajectories

Abstract : Traditional museum audio guides have gradually been enhanced with multiple additional functionalities. The implementation of location-based services in particular, has enabled the collection of large volumes of spatiotemporal visitor movement data, from which individual visitor trajectories can be extracted. These trajectories can be studied to enable museums to better " know " their visitors, by means of trajectory mining. In addition, tapping into context data could make such analyses more expressive and revealing, by adding meaning and intention to trajectories. This work discusses important challenges in studying museum visitor movements with the help of context-aware indoor trajectory modeling and mining, and proposes work directions for each challenge.
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Extended abstract of poster and talk in JDSE 2017 - 2nd Junior Conference on Data Science and Eng.. 2017
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https://hal.archives-ouvertes.fr/hal-01698144
Contributeur : Alexandros Kontarinis <>
Soumis le : mercredi 31 janvier 2018 - 21:26:05
Dernière modification le : vendredi 22 juin 2018 - 14:12:42
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Alexandros Kontarinis. On Modeling and Analyzing Museum Visitor Movements with Semantic Trajectories. Extended abstract of poster and talk in JDSE 2017 - 2nd Junior Conference on Data Science and Eng.. 2017. 〈hal-01698144〉

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