Graduate School and Research Center in Digital Sciences

VSSo - A vehicle signal and attribute ontology

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

SSN 2018, 9th International Semantic Sensor Networks Workshop, 9 October 2018, Monterey, CA, USA

Application developers in the automotive domain have to deal with thousands of different signals, represented in highly heterogeneous formats, and coming from various car architectures. This situation prevents the development and connectivity 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, would improve interoperability. In this paper, we propose VSSo, a car signal ontology that derives from the automotive standard VSS, and that follows the SSN/SOSA pattern for representing observations and actuations. This ontology 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 under the VSSo ontology pattern available at 

Document Bibtex

Title:VSSo - A vehicle signal and attribute ontology
Keywords:ontology, automotive, signal, sensor, VSS
Department:Data Science
Eurecom ref:5691
Copyright: CEUR
Bibtex: @inproceedings{EURECOM+5691, year = {2018}, title = {{VSS}o - {A} vehicle signal and attribute ontology}, author = {{K}lotz, {B}enjamin and {T}roncy, {R}apha{\"e}l and {W}ilms, {D}aniel and {B}onnet, {C}hristian}, booktitle = {{SSN} 2018, 9th {I}nternational {S}emantic {S}ensor {N}etworks {W}orkshop, 9 {O}ctober 2018, {M}onterey, {CA}, {USA}}, address = {{M}onterey, {UNITED} {STATES}}, month = {10}, url = {} }
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