Big Data and AEGINS offering welfare and protection of the general public through prevention and protection from dangers affecting safety such as crimes, accidents or disasters

1. Big Data Analytics in Public Safety and Personal
Security: Challenges and Potential
Evmorfia Biliri, Panagiotis Kokkinakos,
Ariadni Michailitsi, Dimitris Papaspyros,
John Tsapelas, Spiros Mouzakitis
National Technical University of Athens
Sotiris Koussouris,
Fenareti Lampathaki
Suite5 Ltd
London, UK
Yury Glickman
Fabian Kirstein
Fraunhofer FOKUS
Berlin, Germany
Presenter: Spiros Mouzakitis
23rd ICE conference program, 27-29th June 2017, Madeira

2. INTRODUCTION 2
Public safety and personal security
A multi-domain sector
welfare and protection of the general public
through prevention and protection from dangers affecting safety such as
crimes, accidents or disasters
environmental safety
safety from criminal acts safety from accidents
food safetyhomeland securityemergency response
natural disaster management

3. CHALLENGES 3
• Lack of data discoverability and linking for more accurate risk models, decision making and
proactive thinking.
• Lack of a common structure and semantic model for data that bear the same information type
and come from similar sources.
• Lack of data and knowledge sharing mechanisms that in the case of safety issues are crucial
in order to timely take action.
• Lack of appropriate mechanisms to handle data heterogeneity, quality and provenance
aspects.
• Inability to adopt novel data-driven business models in PSPS domains.

4. OPPORTUNITIES 4
• Data and Service Collaboration in PSPS related domains, including public sector, insurance,
environment, health, automotive, smart home, etc.
• Leveraging / Querying the plethora of data sources (from other domains) that could further
enhance and add value in such baseline services, if properly processed and combined.
• Innovative cross-domain services in the private sector that cultivate a more caring and danger
mitigating client base.

5. AEGIS FRAMEWORK 5
Create a curated, semantically enhanced,
interlinked and cross-lingual repository
for public and personal safety-related
big and also small data

6. 6AEGIS DATA VALUE CHAIN
Domains Indicative Data
Public sector
crime, accident, traffic, health, drug
usage, alcohol addiction statistics,
racial discrimination, natural
disasters and damages, biomedical
waste management…
Private sector
(Insurance,
Health, etc.)
Various types of data, mostly from
silo-ed internal data sources
Environment
weather, pollution, humidity, sea
water levels, …
Automotive
sensor records, performance
statistics, car information…
Smart
Buildings
Occupancy, luminance, air quality,
temperature, energy footprint, …
Individuals
Wearable sensors, personal
structured information, health data,
social activity data
Web 2.0 social media, news, trending topics
Open data
Sensor/IoT data
Secondary Data
Scientific Data
Open, Social Data
Historic Data
Environment Data
Public Safety Data
Automotive Data
Smart Home Data
Activity/health Data
Variety
Volume
Velocity
Veracity
Value
Public Safety and
Personal Security
(PSPS)

7. 7APPROACH

8. 8ARCHITECTURE

9. 9APPLICATION 1 - AUTOMOTIVE AND ROAD SAFETY DATA
Data from the driver’s vehicle
e.g. speed, acceleration, gear
shifts, brakes, position, fuel
consumption, emission)
Road information
(e.g. road size, speed limits,
curves, accident hot-spots),
Environmental information
(e.g. weather, traffic)
Road safety indicator
Advanced Driving Assistance
Systems (ADAS)
- improve driving safety
- guide drivers toward more
economic efficiency driving
style

10. 10APPLICATION 2 - SMART HOME AND ASSISTED LIVING
Smart Home data Wearables data
History and personalization
assisted living
algorithms and apps
enhance elderly’s cognition
strengthen personal security
Improve health and well-being

11. Anti-fraud detection
11APPLICATION 3 - INSURANCE SECTOR SERVICES
Car Data
(driving style, speed, times and
places of use, fuel consumption,
roads used, etc.)
Insurance data
Portfolio, CRM, Claim
External sources
Press, Research data,
Environmental data, Black
box
Personalised early
warning system for asset
protection

12. 12FUTURE WORK
• Implementation of the AEGIS framework in an online platform
• Execution of the applications
• AEGIS Framework validation

13. Questions?
www.aegis-bigdata.eu
@AegisBigdata
This project has received funding from the European Union’s Horizon 2020
research and innovation programme under grant agreement No. 732189
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