Paper Info
Title
An Evolving Ontology For Vehicle Signals
Abstract
The variety of vehicle data has motivated contributors from the automotive industry to develop and maintain the so-called Vehicle Signal Specification. As the semantics of the specification are limited to a tree-like hierarchy and data types, it has been considered for the foundation of a more expressive model in an ontology form. Since the first definition of the Vehicle Signal Specification Ontology, things have evolved, and assumptions have changed. This paper gives a structural overview of those changes. It introduces an overview of use-cases, which should be addressed by the ontology, and it presents improvements that facilitate the understanding and use of the ontology. We argue that the proposed changes are key to the standardization of a relevant and useful vehicle data model. Our approach defines a core ontology from the main concepts of the Vehicle Signal Specification. The proposed core ontology is accompanied by tools to automate the mapping process and keep a consistent alignment of the ontology with the continuously evolving Vehicle Signal Specification. We evaluate the core ontology against competency questions to show that the model satisfies them with less complexity than the existing solution.
Year
DOI
Venue
2021
10.1109/VTC2021-Spring51267.2021.9448884
2021 IEEE 93RD VEHICULAR TECHNOLOGY CONFERENCE (VTC2021-SPRING)
Keywords
DocType
Citations 
data model, vehicle data, ontology, standardization
Conference
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Daniel Wilms122.76
Daniel Alvarez-Coello200.34
Adnan Bekan300.34