Semantic technologies have been successful in solving challenges associated with interoperability and machine intelligence. In the new wave of Internet of Things (IoT) devices, it is difficult to galvanize movement such as schema.org to standardize linked data annotation models for various vaguely defined subsections such as health care, wearable device, smart home, industrial internet and others. Among these subdomains, automotive industry has really well defined properties and data models for the components being used and their relationships. Therefore in the IoT domain, it is a comparatively convenient task to define the concept of “Software Defined Car” platform that utilizes linked data and other semantic technologies. The platform should enable interoperability and reasoning between components of the car while also providing accessibility to the external internet technologies such as web services, software applications, big data analytic and artificial intelligence. This presentation will include detailed description of the following milestones to achieve the greater goal, mentioned above: Identify major properties and relationships to create default ontologies for a car Develop tools for manufacturer to create individual linked data models from the default Repository that store and provide access to the linked data models through APIs Platform the enables access of the physical components of the car to other services through the URIs Security layer to restrict authentication and access of the different properties of the model - See more at: http://smartdata2015.dataversity.net/sessionPop.cfm?confid=91&proposalid=7811#sthash.NAVU8j64.dpuf

1. Semantic
Repository
of
Linked
Data
for
Interoperability
of
Software
Defined
Car
Pratik
Desai,
PhD
Movimento Group
@chheplo

2. It’s
a
“Software
Defined”
world

4. • 100+
year
old
• Focused
on
optimizing
the
manufacturing
process
• Different
DNA
• Highly
regulated
• 90M
cars
a
year

5. 0
100
200
300
400
500
600
700
1975 1980 1985 1990 1995 2000 2005 2010 2015 2020
50k
lines
of
codes
for
the
first
software
controlled
cars
1981
100M
lines
of
codes
controlling
70-­‐100
ECUs
2010
200-­‐300M
lines
of
codes
for
a
modern
vehicle
2015
Exponential
growth
in
software
complexity
towards
the
autonomous
car
2020+
IEEE
Spectrum:
This
Car
Runs
on
Code
Connected Car Services forecast to
grow from 31 billion euros today to
115 billion euros in 2020. PwC

7. “Proactively-managing-vehicle-software-will-be-a-defining-characteristic-of-tomorrow’s-
successful-automotive-company”
Our$vision:$
the$SOFTWARE$DEFINED$CAR

8. SDC
defines
Virtual
boundaries
for
car
components

9. Hacker’s
take
control
of
Jeep
FCA
recalls
1.4
million
cars
Fined
105M
$

10. • 150+
ECUs
• Different
architecture
• Different
computation
capabilities
• Each
ECU
• Firmware
versions
• Firmware
dependencies
• Inter-­‐ECU
dependencies
• 100+
vendors
• 100M+
lines
of
code
Over
The
Air
(OTA)
updates

11. Vehicle-­‐to-­‐Vehicle
Vehicle-­‐to-­‐Infrastructure
Big
Data
SDC
Ecosystem
More
than
OTA
updates

12. Hierarchy
Vehicle
Knowledge
graph
Vehicle
model
graphs
Vehicle
Class
graphs
Vehicle
Object
graphs
Vehicle
Instance
graphs
Public
Repository
OEM
Repository

13. Public
Vehicle
repositories
• Provides
• base
knowledge
graph
that
defines
a
car,
called
Vehicle
Object
graph
• knowledge
graph
for
different
classes
of
vehicles
• Openly
accessible
knowledge
graph
ends
of
the
vehicle
model
graphs
• Enables
• V2V
and
V2I
application
• Eco
system
• Big
Data
applications

14. Private
(OEM)
Repository
• Provides
• Access
to
proprietary
end
of
the
vehicle
model
graphs
• Access
to
individual
vehicle
instance
through
URIs
associated
with
VIN
• Enables
• OTA
updates
• Vehicle
specific
applications
• Layered
access
control
to
3rd party
applications

15. Software
Defined
Car

16. QnA