This presentation is a summary of the paper we presented at MobiCASE 2012. It presents our work in progress on enabling computerized reasoning capability in machine-to-machine communication scenarios for the Networked Society (or Internet of Things). For more details, please go to: https://labs.ericsson.com/blog/semantic-reasoning-for-the-networked-society

1. Towards
Timely and Efficient
Semantic Reasoning
for the
Networked Society
Bo Xing, Johan Hjelm, Takeshi Matsumura, Shingo Murakami,
Toshikane Oda, Andrew Ton
(Ericsson Research)

2. Networked society
Ericsson envisages a world with more than 50
billion connected devices by 2020.
When one person connects, his or her life changes.
With everything connected our world changes.
Towards Timely and Efficient Semantic Reasoning for the Networked Society | Ericsson Internal | © Ericsson AB 2012 | 2012-09-14 | Page 2

3. The problem
Deriving in real-time high-level
conclusions from raw data
Time efficiency
Automated Real- Require-
Time Reasoning ments Resource efficiency
Challenges Scalability
Input end: Output end:
Heterogeneous data availability Stringent time constraints
Towards Timely and Efficient Semantic Reasoning for the Networked Society | Ericsson Internal | © Ericsson AB 2012 | 2012-09-14 | Page 3

4. A simplistic
example use case
Sense Communicate
Infer Actuate
Towards Timely and Efficient Semantic Reasoning for the Networked Society | Ericsson Internal | © Ericsson AB 2012 | 2012-09-14 | Page 4

5. Our approach
Interoperability
Representing data in ontology Semantic reasoning
Time efficiency
Minimize ontology size Resource efficiency
Incremental & immediate
Optimize ontology shape conclusion
Decoupling ontology reasoning Handling heterogeneous
from data sources data availability
Towards Timely and Efficient Semantic Reasoning for the Networked Society | Ericsson Internal | © Ericsson AB 2012 | 2012-09-14 | Page 5

6. Optimize ontology shape:
conclusion tree
Medium? Moving Mobility?
Object
Ground Air Fast Slow
Running Flying Motor
Animal
Object Object Vehicle
Mobility? Mobility? Medium? Medium?
Slow Fast Slow Fast Ground Air Ground Air
Land Auto- Flying
Aircraft
Animal mobile Animal
Towards Timely and Efficient Semantic Reasoning for the Networked Society | Ericsson Internal | © Ericsson AB 2012 | 2012-09-14 | Page 6

7. Decomposing
reasoning process
Shallow Deep
Reasoning Reasoning
Raw Data Conclusions
Intermediate Results
Derives ontology- Reasons Incrementally
represent-able concepts to draw conclusions at
from raw data increasing granularity
Towards Timely and Efficient Semantic Reasoning for the Networked Society | Ericsson Internal | © Ericsson AB 2012 | 2012-09-14 | Page 7

8. Potential
architecture
Towards Timely and Efficient Semantic Reasoning for the Networked Society | Ericsson Internal | © Ericsson AB 2012 | 2012-09-14 | Page 8

9. Reasoning example
Recall the ontology
conclusion tree:
Towards Timely and Efficient Semantic Reasoning for the Networked Society | Ericsson Internal | © Ericsson AB 2012 | 2012-09-14 | Page 9

10. summary
› A framework that aims at efficient semantic reasoning
› Several key mechanisms that address the challenges
› To assess the performance of the framework
› To adopt the framework in vertical use cases
Towards Timely and Efficient Semantic Reasoning for the Networked Society | Ericsson Internal | © Ericsson AB 2012 | 2012-09-14 | Page 10