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TRANSCRIPT
Interconnecting Processes through IoT in a Health-Care Scenario
Monica Vitali, Barbara Pernici
Dip. Elettronica Informazione e Bioingegneria (DEIB)Politecnico di Milano, Italy
CONTEXT
Internet of Things has a great potential for improving many aspects of life.
The value of data coming from IoT is null if they are not analyzed properly
MOTIVATION
Cooperating organizations act separately, but data used by the processes are not independent.
ISSUEHidden relations between business processes of different organizations affect the global result.
GOALTo Identify and discover interconnections between business processes in an IoT environment enriched with events.
PiE – Processes in Events
PiE - ScenarioOrganization 1
Event Pool
Organization 2
PiE - ScenarioOrganization 1
Event Pool
Organization 2
PiE - ScenarioOrganization 1
Event Pool
Organization 2
How processes of different organizations interact?
How the environment affects the processes?
Connecting events
APPROACH: merge the unstructured information coming from IoT with the structured information coming from the monitoring of business processes.
Hybrid correlations – to find relations between processes through device events.
Several possible relationsTemporal-based relationsContent-based relations
Connecting events: STEP 0
Connecting events: STEP 1
Connecting events: STEP 2
Connecting events
We considered temporal/causal relations.
Two event types are related if A always follows B
Confidence how many time A is observed if B is observedweighted by the time distance between A and Bcontinuously updated accounting for history
We used synthetic logs generated integrating real observations with realistic ones.
PiE Application to AALSocial Care
Health Care
Operator Recipient
Event Pool
WATCH
TOTEM
WEB INTERFACE
PiE Application to AAL
PiE Application to AAL
PiE Application to AAL
eD2<T1>
: operator in
eD2<T2>
: operator out
eD1<W1>
: watch std
eD3<I2>
: urgent drug ordereD1<W2>
: watch unfasten
eD3<I1>
: regular drug order
PiE Application to AAL
eP1<A1>
eP1<A2> eP1
<A3> eP1<A4>
eP1<A5>
eP1<A6>
eP2<A1>
eP2<A2>
eP2<A3>
eD2<T1>
eD1<W2> eD2
<T2>
eD1<W1>
eD3<I1>
eD3<I2>
A1 A2 A3 A4 A6
A5
B1 B2 B3
PiE Application to AAL
eP1<A1>
eP1<A2> eP1
<A3> eP1<A4>
eP1<A5>
eP1<A6>
eP2<A1>
eP2<A2>
eP2<A3>
eD2<T1>
eD1<W2> eD2
<T2>
eD1<W1>
eD3<I1>
eD3<I2>
A1 A2 A3 A4 A6
A5
B1 B2 B3
0.3 0.990.450.94
0.81
0.99 0.96 0.990.99
0.990.29
PiE Application to AAL
eP1<A1>
eP1<A2> eP1
<A3> eP1<A4>
eP1<A5>
eP1<A6>
eP2<A1>
eP2<A2>
eP2<A3>
eD2<T1>
eD1<W2> eD2
<T2>
eD1<W1>
eD3<I1>
eD3<I2>
A1 A2 A3 A4 A6
A5
B1 B2 B3
0.3 0.990.450.94
0.81
0.99 0.96 0.990.99
0.990.29
PiE Application to AAL
eP1<A1>
eP1<A2> eP1
<A3> eP1<A4>
eP1<A5>
eP1<A6>
eP2<A1>
eP2<A2>
eP2<A3>
eD2<T1>
eD1<W2> eD2
<T2>
eD1<W1>
eD3<I1>
eD3<I2>
A1 A2 A3 A4 A6
A5
B1 B2 B3
0.3 0.990.450.94
0.81
0.99 0.96 0.990.99
0.990.29
PiE Application to AAL
eP1<A1>
eP1<A2> eP1
<A3> eP1<A4>
eP1<A5>
eP1<A6>
eP2<A1>
eP2<A2>
eP2<A3>
eD2<T1>
eD1<W2> eD2
<T2>
eD1<W1>
eD3<I1>
eD3<I2>
A1 A2 A3 A4 A6
A5
B1 B2 B3
0.3 0.990.450.94
0.81
0.99 0.96 0.990.99
0.990.29
Future Steps
Discovered relations can be exploited for mining information about processes execution.
We plan to:validate the PiE methodology in a complex
real case studyapply PiE to other fields involving interacting
processes and IoT devicesenrich the relation discovering using content
based analysis
Interconnecting Processes through IoT in a Health-Care Scenario
Monica Vitali, Barbara Pernici
Dip. Elettronica Informazione e Bioingegneria (DEIB)Politecnico di Milano, Italy