Graduate School and Research Center in Digital Sciences

Generating semantic trajectories using a car signal ontology

Klotz, Benjamin; Troncy, Raphaël; Wilms, Daniel; Bonnet, Christian

WWW 2018, The Web conference, April 23-27, 2018, Lyon, France

In this paper, we use semantic technologies for enriching trajectory data in the automotive industry for offline analysis. We proposed to re-use a combination of existing ontologies and we designed a Vehicle Signal Specification ontology to provide an environment in which we developed an application that analyzes the variations of signal values and enables to infer the "driving smoothness" that we represent as additional annotations of semantic trajectories. 

Document Doi Bibtex

Title:Generating semantic trajectories using a car signal ontology
Keywords:Car Signal ; Ontology ; Semantic Trajectories ; VSS ; SOSA ; SSN
Type:Conference
Language:English
City:Lyon
Country:FRANCE
Date:
Department:Data Science
Eurecom ref:5493
Copyright: © ACM, 2018. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in WWW 2018, The Web conference, April 23-27, 2018, Lyon, France http://dx.doi.org/10.1145/3184558.3186962
Bibtex: @inproceedings{EURECOM+5493, doi = {http://dx.doi.org/10.1145/3184558.3186962}, year = {2018}, title = {{G}enerating semantic trajectories using a car signal ontology}, author = {{K}lotz, {B}enjamin and {T}roncy, {R}apha{\"e}l and {W}ilms, {D}aniel and {B}onnet, {C}hristian}, booktitle = {{WWW} 2018, {T}he {W}eb conference, {A}pril 23-27, 2018, {L}yon, {F}rance}, address = {{L}yon, {FRANCE}}, month = {04}, url = {http://www.eurecom.fr/publication/5493} }
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