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Proposal nameAuthorReference resourcesMain idea(s)
Transforming from a vehicle centric data model to a domain agnostic information model

View file
nameTransforming from a data model to an information model.pptx
height150

Presented at COVESA AMM 
Porto (April 2023)


Defining the COVESA data modeling strategy and its associated artifacts

View file
nameCOVESA_Ontologies_AMM_04.2023.pptx
height150

Presented at COVESA AMM 
Porto (April 2023)

  • Use the right tool for the job.
    • Do not try to cover multiple domains with only one tree.
    • There are other types of data models that are more expressive than a tree.
  • Use a standard language to express cross-references (e.g., RDF).
  • Use ontologies to handle data integration and the identification of resources.
  • Provide the mechanisms to sync a tree to an ontology, and standardise the steps to follow.
  • Do you need a data model, or are you looking for a use-case specific data schema?
  • For more details, see the extended description.
GraphQL schema as contract

Daniel Wilms

(SPREAD GmbH)

View file
name2023_08_01_vss_presentation.pdf
height150

Presented at VSS data modeling group on  


Integrating Vehicle Signals with VSS and Metadata

Alan Freedman

(Ford)

Passcode: #+wbA5dy

View file
nameVSS Extensions and Ford Signal Ontology.pptx
height250



Vehicle DATA Specification

Daniel Alvarez 

(BMW AG)


Daniel Wilms

(SPREAD GmbH)

  • Uncovering the current limitations of VSS.
  • A proposal that combines the features of the multiple approaches that have been presented so far into one.

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