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Design patterns for modelling life trajectories in the semantic web

Authors :
Jérôme Gensel
Marlène Villanova-Oliver
Pierre Le Quéau
David Noël
Spatio-temporal information systems (STEAMER )
Laboratoire d'Informatique de Grenoble (LIG )
Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])
Pacte, Laboratoire de sciences sociales (PACTE)
Sciences Po Grenoble - Institut d'études politiques de Grenoble (IEPG)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])
Région Rhône-Alpes Auvergne
David Brosset
Christophe Claramunt
Xiang Li
Tianzhen Wang
Source :
15th International Symposium on Web and Wireless Geographical Information Systems (W2GIS 2017), 15th International Symposium on Web and Wireless Geographical Information Systems (W2GIS 2017), May 2017, Shanghai, China, Web and Wireless Geographical Information Systems ISBN: 9783319559971, W2GIS, Lecture Notes in Computer Sciences, International Symposium on Web and Wireless Geographical Information Systems (W2GIS 2017), International Symposium on Web and Wireless Geographical Information Systems (W2GIS 2017), May 2017, Shangai, China. pp.51-65, ⟨10.1007/978-3-319-55998-8_4⟩
Publication Year :
2017
Publisher :
HAL CCSD, 2017.

Abstract

International audience; Most of the existing approaches for trajectory modelling propose to enrich struc-tured 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.

Details

Language :
English
ISBN :
978-3-319-55997-1
ISBNs :
9783319559971
Database :
OpenAIRE
Journal :
15th International Symposium on Web and Wireless Geographical Information Systems (W2GIS 2017), 15th International Symposium on Web and Wireless Geographical Information Systems (W2GIS 2017), May 2017, Shanghai, China, Web and Wireless Geographical Information Systems ISBN: 9783319559971, W2GIS, Lecture Notes in Computer Sciences, International Symposium on Web and Wireless Geographical Information Systems (W2GIS 2017), International Symposium on Web and Wireless Geographical Information Systems (W2GIS 2017), May 2017, Shangai, China. pp.51-65, ⟨10.1007/978-3-319-55998-8_4⟩
Accession number :
edsair.doi.dedup.....7879bbf183aded0c767557ac2dade7d5
Full Text :
https://doi.org/10.1007/978-3-319-55998-8_4⟩