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SC7 Hangout 1: Pilot Development for Secure Societies and adopted technologies
1. PILOT DEVELOPMENT FOR SECURE
SOCIETIES AND ADOPTED
TECHNOLOGIES
BDE Hang-out “Big Data in Secure societies”18/11/2015
George Papadakis, University of Athens
Postdoctoral Researcher
2. General idea of the 1st Pilot
(2nd phase)
REMOTE SENSING
INTEGRATED PLATFORM
SOCIAL
SENSING
4. 1st Pilot Implementation Details
The pilot has been developed jointly by SatCen and University of Athens.
SatCen responsible for the user requirements and remote sensing
workflow design.
University of Athens responsible for remote sensing implementation &
results visualization.
NCSR “Demokritos” responsible for social sensing.
Beta version to be available by end of March, 2016.
19-nov.-15www.big-data-europe.eu
5. Remote Sensing Outline
Input: a set of areas of interest
Processing steps:
o Query Sentinels Scientific Data Hub
o Download suitable satellite images
o Co-registration
o Change detection
Output: a set of geolocations with man-made changes
19-nov.-15www.big-data-europe.eu
6. Remote Sensing Technologies
Based on ESA’s SNAP toolbox
(http://step.esa.int/main/toolboxes/snap).
Original code suitable for stand-alone, multi-threading
processing. We will adapt it to the MapReduce paradigm
(Spark, Flink).
Sextant (http://sextant.di.uoa.gr) will provide the GUI.
Strabon (http://strabon.di.uoa.gr) will store the geospatial
results.
19-nov.-15www.big-data-europe.eu
7. Social Sensing Outline
Input (1st workflow)
o a set of textual news items
Processing:
o Cluster news items into events.
o Filter out irrelevant events.
o Extract areas of interest
Output: a set of geolocated events
19-nov.-15www.big-data-europe.eu
8. Data Aggregation Technologies
Monitoring the web
o Social media listeners (Twitter, Facebook)
o RSS Feed listeners (news agencies, blogs)
o Web scraping
Efficiency
o Distributed crawling (Spark)
o Distributed storage (Cassandra)
Provenance information
19-nov.-15www.big-data-europe.eu
9. Event Detection Technologies
Based on NewSum
(http://www.scify.gr/site/en/projects/completed/newsum)
Clusters together different news items from various sources that
refer to the same event, without any a-priori knowledge about
the events.
Original implementation adapted to distributed processing.
Emphasis on identifying geolocated events.
Further constraints: not all geolocated events are relevant.
19-nov.-15www.big-data-europe.eu