Presentation hold on DEST 2012

1. Complex Environment Evolution
Challenges with Semantic Service Infrastructures
- Andrej Eisfeld
- Achim P. Karduck
- David McMeekin IEEE DEST: 18 - 20 June 2012

2. Structure
Background
Semantic Agents
Evaluation
Conclusion
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2 Complex Environment Evolution

3. Background Semantic Agents Use Case Conclusion
Smart Camp
Aim: Reduce energy consumption in camps
Example:
Energy costs: 2.000.000 AUD / year
25% savings potential
Main Smart Camp System components:
Smart Home Controller (SHC)
Smart Camp Management Unit (SCMU)
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4. Background Semantic Agents Use Case Conclusion
Problem I
Continuing Change
“E-type systems must be continually adapted or they
become progressively less satisfactory”
Continuing Growth
“The functional content of E-type systems must be
continually increased to maintain user satisfaction over
their lifetime”
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5. Background Semantic Agents Use Case Conclusion
Problem II
Multiple software systems in service infrastructure
Evolution more difficult due to dependencies
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6. Background Semantic Agents Use Case Conclusion
Semantic Service Approaches
Approach Loose Coupling
WSDL2.0 + SAWSDL x
HTML + SA-REST
HTML + hRESTs
+ MicroWSMO
EXPRESS
ReLL
JSON-LD
Comparison of multiple Semantic Service aproaches
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7. Background Semantic Agents Use Case Conclusion
Linked Data II
JSON-LD is resource orientated
Linked Resources Graph (LRG):
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8. Background Semantic Agents Use Case Conclusion
Idea I : LRG Ontology
Resource Discovery
Resource Composition
Resource Invocation
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9. Background Semantic Agents Use Case Conclusion
Idea II : Ontology Paths
Permitted Ontology
Path (POP)
Not Permitted Ontology
Path (NPOP)
POP + NPOP →
Restrictions for LRG
traversal
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10. Background Semantic Agents Use Case Conclusion
Semantic Handler
Semantic Request Handler
Resorce Discovery + Composition + Invocation
Semantic Response Handler
Data Discovery + Dynamic Code Reuse
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11. Background Semantic Agents Use Case Conclusion
Agent Communication
1) Define Goal
2) Traverse LRG
3) Retrieve Response
4) Process Response
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12. Background Semantic Agents Use Case Conclusion
A Semantic Camp
SCMU and SHCs as
Semantic Agents
Flexibility for Resource's
location and content
Functionality enrichment
without recompilation
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13. Background Semantic Agents Use Case Conclusion
Setting
Smart Camp Ontology Linked Resources Graph
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14. Background Semantic Agents Use Case Conclusion
Resource Discovery
Smart Camp Ontology Linked Resources Graph
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15. Background Semantic Agents Use Case Conclusion
Representations
{ {
"@context":{ "@context":{
"onto":"http://www.smartcamp.org/onto" "onto":"http://www.smartcamp.org/onto"
"door":"onto#DoorSensor" "motion":"onto#MotionSensor"
"value":"onto#sensorValue" "value":"onto#sensorValue"
}, },
"@type":"door", "@type":"motion",
"value":true "valueZ":false
} }
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16. Background Semantic Agents Use Case Conclusion
Composed Representation
{
"@context":{
"motion":"http://www.smartcamp.org/ontology#MotionSensor",
"door":"http://www.smartcamp.org/ontology#DoorSensor",
"value":"http://www.smartcamp.org/ontology#sensorValue"
},
"@type":"http://www.smartcamp.org/ontology#Sensor",
"motion":{
"value":false
},
"door":{
"value":true
}
}
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17. Background Semantic Agents Use Case Conclusion
What if ...
● Requirements change → new sensors
● Requirements change → obsolete sensors
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18. Background Semantic Agents Use Case Conclusion
Summary
Chosen technologies: JSON-LD + OWL
Model of a Semantic Agent
Higher evolvability in evolution scenario
Ontology Evolution may reduce assessed
evolvability
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19. Background Semantic Agents Use Case Conclusion
Outlook
Implementation
Research Ontology Evolution & Versioning
Service Discovery in a Smart City
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21. References
● M. Lehman. On understanding laws, evolution, and conservation in the large-
program life cycle. Journal of Systems and Software, 1:213–221, 1980
● H. P. Breivold, I. Crnkovic, R. Land, and S. Larsson. Using dependency model
to support software architecture evolution. In Automated Software Engineering -
Workshops, 2008. ASE Workshops 2008. 23rd IEEE/ACM International
Conference on, pages 82–91, 2008.
● P.V.D. Laar and T. Punter. Views on Evolvability of Embedded Systems.
Springer, 2010.
● Ora Lassila, Tim Berners-Lee, James A. Hendler. The semantic web. Scientific
American, 284(5):34–43, 2001.
● http://www.cs.helsinki.fi/research/roosa/images/serious-logo-final.jpg
● http://applicanttracking.files.wordpress.com/2010/06/evolution.jpg
● http://informatique.umons.ac.be/genlog/images/wordle.jpg
● http://www.johnbendever.com/wp-content/uploads/question.jpg
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22. DNS Service Discovery
Different types of resource records
PTR: Defines references to other domains
SRV: Defines a service location
TXT: Used to add meta-data
------------------------------------------------------------------
General usage:
serviceType PTR serviceInstance
serviceInstance SRV serviceLocation
TXT serviceMetaData
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