VSSo: a Vehicle Signal and Attribute Ontology for the Web of Things

Tracking #: 2085-3298

This paper is currently under review
Authors: 
Benjamin Klotz
Raphael Troncy
Daniel Wilms
Christian Bonnet

Responsible editor: 
Guest Editors Sensors Observations 2018

Submission type: 
Full Paper
Abstract: 
Application developers in the automotive domain have to deal with thousands of different signals and attributes, represented in highly heterogeneous formats, and coming from various car architectures. This situation limits the development of modern applications. We hypothesize that a formal model of car signals, in which the definition of signals are uncorrelated with the physical implementations producing them, as well as a common data layer, would improve interoperability between connected cars and their ecosystem. In this paper, we propose VSSo, a vehicle signal and attribute ontology that builds on the automotive standard VSS, and that follows the SSN/SOSA design pattern for representing observations and actuations. We also describe a more general driving context ontology supporting the description of events. VSSo is comprehensive while being extensible for OEMs, so that they can use additional private signals in an interoperable way. We developed a simulator for interacting with data modeled using VSSo is available at http://automotive.eurecom.fr/simulator/query.
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Under Review