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©	2016	– The	symbIoTe	Consortium
Semantic	Interoperability	as	Key	to	IoT	
Platform	Federation
Michael	Jacoby	(Fraunhofer	IOSB,	Germany)
Aleksandar	Antonić (FER	University	Zagreb,	Croatia)
Karl	Kreiner	&	Jasmin	Pielorz	(Austrian	Institute	of	Technology,	Austria)
Roman	Łapacz	(Poznan	Supercomputing	and	Networking	Center,	Poland)
InterOSS	Workshop,	7th	November	2016,	Stuttgart
©	2016	– The	symbIoTe	Consortium2
Interoperability
Motivation:	IoT	Platform	Federation
IoT	Platform	A
Native	
Applications	A
Internal	Information	
Model	A
API	Platform	A
IoT	Platform	B
Native	
Applications	B
Internal	Information	
Model	B
API	Platform	B
Different	Information	Models
Incompatible	APIs
©	2016	– The	symbIoTe	Consortium3
Approaches	to	Semantic	Interoperability
Core
Information
Model
Mapping between
Platform-Specific
Information Models
Multiple Pre-Mapped
Best Practice
Information Models
Core Information
Model with
Extensions
Multiple
Pre-Mapped Core
Information Models
©	2016	– The	symbIoTe	Consortium4
Core
Information Model
Mapping between Platform-
Specific Information Models
Multiple Pre-Mapped Best
Practice Information Models
Core Information Model
with Extensions
Multiple Pre-Mapped Core
Information Models
Core	
Information	
Model
IoT	Platform	A IoT	Platform	B
IoT	Platform	CUsage of Information Model
Mapping between Information Models
Approaches	to	Semantic	Interoperability
©	2016	– The	symbIoTe	Consortium5
Core
Information Model
Mapping between Platform-
Specific Information Models
Core Information Model
with Extensions
Multiple Pre-Mapped Core
Information Models
IoT	Platform	A IoT	Platform	B
IoT	Platform	C
Extension	
Platform	A
Extension	
Platform	B
Extension	
Platform	C
Core	
Information	
Model
Usage of Information Model
Mapping between Information Models
Approaches	to	Semantic	Interoperability
Multiple Pre-Mapped Best
Practice Information Models
©	2016	– The	symbIoTe	Consortium6
Core
Information Model
Mapping between Platform-
Specific Information Models
Core Information Model
with Extensions
Multiple Pre-Mapped Core
Information Models
IoT	Platform	A IoT	Platform	B
IoT	Platform	C
Platform-Specific	
Information	
Model	A
Platform-Specific	
Information	
Model	B
Platform-Specific	
Information	
Model	C
Usage of Information Model
Mapping between Information Models
Approaches	to	Semantic	Interoperability
Multiple Pre-Mapped Best
Practice Information Models
©	2016	– The	symbIoTe	Consortium7
Semantic	Interoperability
Interoperability
Platform-Specific	
Information	
Model	B
Platform-Specific	
Information	
Model	A
Core	Information	
Model
Meta	Information	
Model
extends
extends
SPARQL	Query	Re-Writing
uses
mapping between
Syntactic	Interoperability
IoT	Platform	A
Native	
Applications
Internal	
Information	
Model	A
API	
Platform	A
IoT	Platform	B
Native	
Applications
Internal	
Information	
Model	B
API	
Platform	B
Resource	Access	API Resource	Access	API
usesuses uses uses
Interoperability	in	symbIoTe
©	2016	– The	symbIoTe	Consortium8
Semantic	Interoperability	in	symbIoTe
Resource	
Access	API
IoT	Platform	A
Resource	
Access	API
IoT	Platform	B
Register
• platform
• resources
• information model
• mappings
SPARQL query re-writing
Registry
Search
Search for resources
Access resources
PIM	BPIM	A
PIM	C
©	2016	– The	symbIoTe	Consortium9
Semantic	Interoperability	in	symbIoTe
User	/	App	/	Platform Search Registry
SPARQL query against PIM C
find platforms using PIM mapped to PIM C
list of platforms and corresponding mappings
re-write SPARQL query based on mapping
execute re-written SPARQL query
query result
re-write results based on mapping
combined results
combine results
for each mapping in parallel
©	2016	– The	symbIoTe	Consortium10
Conclusion
• Theoretical	analysis	of	possible	approaches	to	
Semantic	Interoperability
– Presented	approaches	with	their	pros	and	cons
– Additional	advices	how	these	approaches	can	be	
implemented	(in	paper)
• Presented	symbIoTe	as	example	realization	
using
– Core	Information	Model	with	Extensions
– Semantic	Mapping
– SPARQL	Query	Re-Writing
©	2016	– The	symbIoTe	Consortium
Thank	you!
Questions?
michael.jacoby@iosb.fraunhofer.de
©	2016	– The	symbIoTe	Consortium12
Semantic	Mapping	&	SPARQL	Query	
Re-Writing	– Example
Predicate relation
Inheritance
Semantic mapping
Symbolic
Location
Conference
Room
xsd:string
hasNumber
Sensor hasLocation Location
Room
xsd:string
roomNumber
symbIoTe Core
Information Model
Platform-Specific Extension A Platform-Specific Extension B
SELECT ?room ?number
WHERE
{
?room a pA:ConferenceRoom.
?room pA:hasNumber ?number.
}
SELECT ?room ?number
WHERE
{
?room a pB:Room.
?room pB:roomNumber ?number.
}
SPARQL	query	re-writing	
based	on	mapping
©	2016	– The	symbIoTe	Consortium13
Core
Information Model
Mapping between Platform-
Specific Information Models
Pre-Mapped Best Practice
Information Models
Core Information Model
with Extensions
Multiple Pre-Mapped Core
Information Models
IoT	Platform	A IoT	Platform	B
IoT	Platform	C
Core	
Information	
Model	1
Core	
Information	
Model	2
Core	
Information	
Model	3
Usage of Information Model
Mapping between Information Models
Semantic	Interoperability:	Approaches
©	2016	– The	symbIoTe	Consortium14
Core
Information Model
Mapping between Platform-
Specific Information Models
Pre-Mapped Best Practice
Information Models
Core Information Model
with Extensions
Multiple Pre-Mapped Core
Information Models
IoT	Platform	A IoT	Platform	B
IoT	Platform	C
Best	Practice	
Information	
Model	1
Best	Practice	
Information	
Model	2
Usage of Information Model
Mapping between Information Models
Semantic	Interoperability:	Approaches
©	2016	– The	symbIoTe	Consortium15
symbIoTe	Information	Model
©	2016	– The	symbIoTe	Consortium16
Core	Information	Model
• Design	principle
– as	abstract	as	possible	(to	avoid	excluding	platforms)	
– as	explicit	as	needed	(to	support	all	symbIoTe	features)
• Why	existing	ontologies	can’t	be	reused	(directly)
– wrong	level	of	abstraction	(either	to	abstract	or	to	explicit)	
– scope	to	big
• Design	influenced	by/based	on
– W3C	Semantic	Sensor	Network	Ontology	/	IoT-Lite
– OGC	SensorThings	API	Data	Model
©	2016	– The	symbIoTe	Consortium17
Semantic	Mapping	&	SPARQL	Query	
Re-Writing	– Available	Tools
• Mapping	language
– Expressive	and	Declarative	Ontology	Alignment	
Language	(EDOAL)
• SPARQL	query-rewriting	frameworks
– Mediation	Toolkit	(currently	used)
– SPARQL-RW
• Graphical	Alignment	Tools
– Currently	under	analysis	
à Main	area	of	research	in	symbIoTe
©	2016	– The	symbIoTe	Consortium18
Interoperability
Motivation:	Platform	Federation
IoT	Platform	A
Native	
Applications	A
Internal	Information	
Model	A
API	Platform	A
IoT	Platform	B
Native	
Applications	B
Internal	Information	
Model	B
API	Platform	B
Different	Information	Models
Incompatible	APIs
©	2016	– The	symbIoTe	Consortium
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