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Auteur Despina Kopanaki |
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Multidimensional Similarity Measuring for Semantic Trajectories / Andre Salvaro Furtado in Transactions in GIS, vol 20 n° 2 (April 2016)
[article]
Titre : Multidimensional Similarity Measuring for Semantic Trajectories Type de document : Article/Communication Auteurs : Andre Salvaro Furtado, Auteur ; Despina Kopanaki, Auteur ; Luis Otavio Alvares, Auteur ; Vania Bogorny, Auteur Année de publication : 2016 Article en page(s) : pp 280 – 298 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] information sémantique
[Termes IGN] itinéraire piétionnier
[Termes IGN] mesure de similitude multidimensionnelle
[Termes IGN] similitude sémantique
[Termes IGN] trajet (mobilité)Résumé : (auteur) Most existing approaches aiming at measuring trajectory similarity are focused on two-dimensional sequences of points, called raw trajectories. However, recent proposals have used background geographic information and social media data to enrich these trajectories with a semantic dimension, giving rise to the concept of semantic trajectories. Only a few works have proposed similarity measures for semantic trajectories or multidimensional sequences, having limitations such as predefined weight of the dimensions, sensitivity to noise, tolerance for gaps with different sizes, and the prevalence of the worst dimension similarity. In this article we propose MSM, a novel similarity measure for multidimensional sequences that overcomes the aforementioned limitations by considering and weighting the similarity in all dimensions. MSM is evaluated through an extensive experimental study that, based on a seed trajectory, creates sets of semantic trajectories with controlled transformations to introduce different kinds and levels of dissimilarity. For each set, we compute the similarity between the seed and the transformed trajectories, using different measures. The results showed that MSM was more robust and efficient than related approaches in the domain of semantic trajectories. Numéro de notice : A2016-452 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12156 En ligne : http://dx.doi.org/10.1111/tgis.12156 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81363
in Transactions in GIS > vol 20 n° 2 (April 2016) . - pp 280 – 298[article]