Examples of Applied Semantic Technologies to Solve Variety Challenge of Big Data: Application of Semantic Sensor Network (SSN) Ontology Pramod Anantharam - Kno.e.sis

1. BigData
Semantic Approach to
Big Data and Event Processing
Examples of Applied Seman1c Technologies
to Solve Variety Challenge of Big Data:
Applica1ons of Seman1c Sensor Network
(SSN) Ontology
Pramod Anantharam
Ohio Center of Excellence in Knowledge-enabled Compu1ng (Kno.e.sis)
Wright State University, USA
Tutorial @ Kno.e.sis Centre: Seman1cs Approach to Big Data and Event Processing, Oct 7-9, 2015

2. BigData2
RDF OWL
Semantic Sensor Networks (SSN)
How are machines supposed to integrate and interpret sensor data?

3. BigData3
Lefort, L., Henson, C., Taylor, K., Barnaghi, P., Compton, M., Corcho, O., Garcia-Castro, R., Graybeal, J., Herzog, A., Janowicz, K.,
Neuhaus, H., Nikolov, A., and Page, K.: Semantic Sensor Network XG Final Report, W3C Incubator Group Report (2011).
W3C Semantic Sensor Network Ontology

4. BigData
SSN Ontology Modules

5. BigData5
Lefort, L., Henson, C., Taylor, K., Barnaghi, P., Compton, M., Corcho, O., Garcia-Castro, R., Graybeal, J., Herzog, A., Janowicz, K.,
Neuhaus, H., Nikolov, A., and Page, K.: Semantic Sensor Network XG Final Report, W3C Incubator Group Report (2011).
W3C Semantic Sensor Network Ontology

6. BigDataq A sensor can do (implements) sensing: that is, a sensor is any entity that can follow a
sensing method and thus observe some Property of a FeatureOfInterest.
q Sensors may be physical devices, computational methods, a laboratory setup with a
person following a method, or any other thing that can follow a Sensing Method to
observe a Property.
SSN Sensor

7. BigData
q Collects together measurement properties (accuracy, range, precision, etc) and the
environmental conditions in which those properties hold, representing a specification of a
sensor's capability in those conditions.
SSN Measurement Capability

8. BigData
q An Observation is a Situation in which a Sensing method has been used to estimate or calculate a
value of a Property.
q Links to Sensing and Sensor describe what made the Observation and how; links to Property and
Feature detail what was sensed; the result is the output of a Sensor; other metadata gives the
time(s) and the quality.
q Different from OGC’s O&M, in which an “observation” is an act or event, although it also provides
the record of the event.
SSN Observation

9. BigData
Alignment with DOLCE

10. BigData
q Sensor types and models
q Networks: communication, topology
q Representation of data and units of measurement
q Location, mobility or other dynamic behaviours
q Animate sensors
q Control and actuation
q ….
What SSN does not model

11. BigData
Applications of SSN
HealthcareWeather Fire Detection
Fire Fighting Logistics
SSN Applications

12. BigData
q 50% savings in sensing resource
requirements during the detection of a
blizzard
q Order of magnitude resource
savings between storing observations vs.
relevant abstractions
SSN Applications: Weather

13. BigData
Linked Sensor Data
(~2 Billion Statements)
SSN Applications: Weather, Linked Sensor Data

14. BigData
Query w/ location name to find nearby sensors
SSN Applications: Weather, Sensor Discovery

15. BigData
Real-Time Feature Streams:
http://www.youtube.com/watch?v=_ews4w_eCpg
SSN Applications: Weather, Demo

16. BigData
Weather Application
SECURE: Semantics-empowered Rescue Environment
(detect different types of fires)
DEMO: http://www.youtube.com/watch?v=in2KMkD_uqg
SSN Applications: Fire Detection

17. BigData
SSN Applications: Health Care
Through analysis of physical,
physiological, and environmental
observa1ons, our cellphones could
act as an early warning system to
detect serious health condi1ons, and
provide ac1onable informa1on
canary in a coal mine
kHealth: knowledge-enabled healthcare

18. BigData
Passive Monitoring Phase
• Abnormal heart rate
• Clammy skin
• Panic Disorder
• Hypoglycemia
• Hyperthyroidism
• Heart Attack
• Septic Shock
Observed Symptoms Possible Explanations
Passive Sensors – heart rate, galvanic skin response
SSN Applications: Health Care

19. BigData
Active Monitoring Phase
Are you feeling lightheaded?
Are you having trouble taking deep
breaths?
yes
yes
Have you taken your Methimazole
medication?
Do you have low blood pressure?
yes
• Abnormal heart rate
• Clammy skin
• Lightheaded
• Trouble breathing
• Low blood pressure
• Panic Disorder
• Hypoglycemia
• Hyperthyroidism
• Heart Attack
• Septic Shock
Observed Symptoms Possible Explanations
no
Active Sensors – blood pressure, weight scale, pulse oxymeter
Demo: http://www.youtube.com/watch?v=btnRi64hJp4
SSN Applications: Health Care

20. BigDataData Processing and Seman1cs for Advanced Internet of Things
First responders have limited time to analyze
sensor (on and around them) observations.
Fire fighters need to combine prior knowledge of
fires and its behavior, extinguishers, and floor
plan of the building for rescue strategy and operations.
There are a variety of sensors used to monitor
vitals of firefighters, location, and poisonous gases.
O2
Heart rate
CO
CO2
GPS
Accelerometer
Compass
Footsteps
There is a team of them making
it further difficult for analysis
Semantic Web allow us to describe the domain, sensors, and
first responders -- apply reasoning techniques to derive actionable
insights
Sensors on each responder provides
different view of the event and they need
to register dynamically as the firefighters
arrive.
SSN Applications: Fire Fighting

21. BigDataData Processing and Seman1cs for Advanced Internet of Things
Platform SensingDevice
System_AGTC1
Sensor_LSM11
SensorOutput
O2Concentraction_output
Measurement
Capability
MeasurementCapa
bility_LSM11
Property
concentration
onPlatform
hasOutput
hasMeasurementCapability
Observes
Observation
O2Concentration
ObservedProperty
O2Obs_15052012
observationResultTimehttp://geonames.org/6298640
hasLocation
name
xsd:floatxsd:float
latlong
Dayton, Dayton-Wright Brothers Airport^^xsd:string
Feature
Demo: http://www.youtube.com/watch?v=nX11OqgtQlw
SSN Applications: Fire Fighting, Modeling Sensors

22. BigData
LOKILAS
(LOst Key Identification, Localization and Alert System)
SSN Applications: Logistics

23. BigDataData Processing and Seman1cs for Advanced Internet of Things
SSN Applications: LOKILAS System Architecture

24. BigData
SSN Applications: LOKILAS Dynamic Status Report

25. BigData
Adoption of SSN in Various Projects

26. BigData
Semantic Approach to
Big Data and Event Processing
Thank you!
Any Ques1on?