Abstract
Most of the existing approaches for trajectory modelling propose to enrich structured spatiotemporal trajectories with semantics. In social sciences, the term of “trajectory” is often used to describe some evolution that is not necessarily related to some geographical movement. In this paper, we propose ontological design patterns that (i) allow modelling multiple spatial or aspatial trajectories and (ii) include explanatory factors for a better understanding of trajectory events. Algorithms for the exploitation of our patterns are also presented. As a case study, we model the multiple trajectories that compose a life trajectory having in mind to focus on and study residential choices. This is an important issue for decision makers and urban planning experts in metropolitan areas who need to better understand choices citizens make. We show how our trajectory model, once instantiated, can be exploited using temporal, spatial and thematic dimensions.
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Notes
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Mobile objects can be of different sorts including people.
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This modelling choice requires to choose carefully the information to represent (i.e. the relevant attributes), but also to determine the relevant degrees of precision. For instance, in our application case, regarding the rent of some accommodation, the precise amount might be less relevant than a range of values.
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Acknowledgment
We would like to thank the Auvergne-Rhône-Alpes Region Council for his support (D. Noël Ph.D. Grant).
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Noël, D., Villanova-Oliver, M., Gensel, J., Le Quéau, P. (2017). Design Patterns for Modelling Life Trajectories in the Semantic Web. In: Brosset, D., Claramunt, C., Li, X., Wang, T. (eds) Web and Wireless Geographical Information Systems. W2GIS 2017. Lecture Notes in Computer Science(), vol 10181. Springer, Cham. https://doi.org/10.1007/978-3-319-55998-8_4
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