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BIG DATA EUROPE
Integrating Big Data, Software & Communities
for Addressing Europe’s Societal Challenges
negative conotation
Big Data has often a
21-mai-15www.big-data-europe.eu
Big Data in Marketing
21-mai-15www.big-data-europe.eu
Big Data in Intelligence
21-mai-15www.big-data-europe.eu
BigDataEurope aims to help
maximizing the societal value of Big
Data
 Health, demographic change and wellbeing;
 Food security, sustainable agriculture and forestry,
marine and maritime and inland water research, and the
Bioeconomy;
 Secure, clean and efficient energy;
 Smart, green and integrated transport;
 Climate action, environment, resource efficiency and
raw materials;
 Europe in a changing world - inclusive, innovative and
reflective societies;
 Secure societies - protecting freedom and security of
Europe and its citizens.
21-mai-15www.big-data-europe.eu
The three Big Data „V“ –
Variety is often neglected
Quelle: Gesellschaft für Informatik
© Fraunhofer-Allianz Big Data 7
Proactive Maintenance at Rolls Royce
New Business Model integrating Sensor Data & Big Data
Analytics
Dr. Dirk Hecker
Condition Monitoring, Proactive maintenance, „Power-by-the-hour“,
as-a-service Business Model – payment modell by flight hours
Quelle: www.springboeck.ch/SR_Technics.htm
© Mark Hillary | Flickr
© Fraunhofer-Allianz Big Data 8
The rolling Smartphone
New Business Models for the Automotive Industry with Data
Value Chains
Dr. Dirk Hecker
Windshield wiper as rain sensors for micro wether prognosis
Automotive industry can become data provider for other industries
Quelle:GTÜ
Quelle:www.farming-simulator.com
© Fraunhofer-Allianz Big Data 9
Predictive Analytics
Dr. Dirk Hecker
From Business Intelligence to Big Data Analytics
Business Intelligence Monitoring Predictive Analytics
What happened
before?
What happens now?
What will happen
soon?
What should
happen?
Prescriptive Analytics
„the last Mile“
“prescriptive analytics suggests decision options on how to
take advantage of a future opportunity”
Quelle: BMW Quelle: www.7-forum.com Quelle: BMW Quelle: Volvo
BigDataEurope Rationale
 Show societal value of Big Data
 Lower barrrier for using big data technologies
o Required effort and resources
o Limited data science skills
 Help establishing cross-
lingual/organizational/domain Data Value
Chains
21-mai-15www.big-data-europe.eu
Orthogonal Dimensions of Big Data
Ecosystems
Generic Big Data Enabling Technologies
Data Value Chain
Data Generation
& Acquisition
Data Analysis &
Processing
Data Storage &
Curation
Data
Visualization &
Usage
Data-driven
Services
SocietalChallenges
DomainSpecificDataAssets&Technology
Healthcare
Food Security
Energy
Intelligent Transport
Climate & Environment
Inclusive & Reflective Societies
Secure Societies
Envisioned societal stakeholder engagement cycle implemented
through Big Data interest groups for each of the H2020 societal
challenges
Domains, Focus Areas & Data Assets
Societal
Domain
Preliminary Big Data Focus
area
Selected Key Data assets
Life Sciences
& Health
Heterogeneous data Linking &
integration
Biomedical Semantic Indexing &
QA
ACD Labs / ChemSpider, ChEBI, ChEMBL, Con-ceptWiki,
DrugBank, EN-ZYME, Gene Ontology, GO Annotation, Swis-
sProt, UniProt, Wik-iPathways, PubMed, MeSH, Disease Ontology
(DO), Joint Chemical Dic-tionary (Jochem), Bio-ASQ datasets
Food &
Agriculture
Large-scale distributed data
integration
INFOODS, AQUASTAT Green Learning Network (GLN),
Agricultural Bibliography Network (ABN), AGRIS, AquaMaps,
Fishbase
Energy
Real-time monitoring, stream
processing, data analytics, and
decision support
European Energy Exchange Data, smart meter measurement
data, gas/fuels/energy market/price data, consumption statistics,
equipment condition monitoring data)
Transport
Streaming sensor network & geo-
spatial data integration
GTFS data, OSM/ LinkedGeoData, MobilityMaps, Transport
sensor data, ROSATTE Road safety attributes, European Road
Data Infrastructure - EuroRoadS
Climate
Real-time monitoring, stream
processing, and data analytics.
European Grid Infrastructure (EGI), Databases hosting
atmospheric data. Several software frameworks for simulation,
calibration and reconstruction.
Social
Sciences
Statistical and research data
linking & integration
Federated social sciences data catalogs, statistical data from
public data portals and statistical offices (e.g. EuroStats,
UNESCO, WorldBank)
Security
Real-time monitoring, stream
processing, and data analytics.
Earth Observation data (e.g. Very High Resolution Satellite
Imagery acquired from commercial providers and governmental
systems) and collateral data for supporting CFSP/CSDP missions
Health Example: OpenPhacts – Big
Data & Drug Discovery
 Precompetitive Data Platform for Pharma
Industry
 Integrate Multiple Research Biomedical Data
Resources Into A Single Open & Free Access
Point
21-mai-15www.big-data-europe.eu
Energy/Climate Example:
Greenshifting
21-mai-15www.big-data-europe.eu
Blueprint of the Data Aggregator
Platform
 Follows typical Lambda Architecture
 Possibly integrated on top of
existing Big Data distribution
Batch Layer
Speed Layer
Data Storage
Real-time data
&
Transactions
…
Batch View
Real-time
View
messagepassing
message passing
Applications & Showcases
Real-time dashboards
Domain-specific BDE apps
Big Data Analytics
In-stream Mining
BDEPlatform&
Intelligence
Input data
Stream
Spatial
Social
Statistical
Temporal
Transactiona
l
Imagery
Data Aggregator Platform
Challenges
 Ingest semantic (RDF) and non-semantic
(CSV, JSON, XML, …) data
o Integrate various mapping techniques (R2RML,
CSV on the Web, JSON-LD)
 preserve semantics, provenance and
metadata in Big Data processing chains
o Preserve URI/IRIs
o Preserve triples
 Exploit semantics for aggregations
21-mai-15www.big-data-europe.eu
BDE Partners
Sören Auer
Big Data Europe Coordinator
Fraunhofer IAIS & University of Bonn
auer@cs.uni-bonn.de
Thanks
21-mai-15www.big-data-europe.eu

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Project overview big data europe

  • 1. BIG DATA EUROPE Integrating Big Data, Software & Communities for Addressing Europe’s Societal Challenges
  • 2. negative conotation Big Data has often a 21-mai-15www.big-data-europe.eu
  • 3. Big Data in Marketing 21-mai-15www.big-data-europe.eu
  • 4. Big Data in Intelligence 21-mai-15www.big-data-europe.eu
  • 5. BigDataEurope aims to help maximizing the societal value of Big Data  Health, demographic change and wellbeing;  Food security, sustainable agriculture and forestry, marine and maritime and inland water research, and the Bioeconomy;  Secure, clean and efficient energy;  Smart, green and integrated transport;  Climate action, environment, resource efficiency and raw materials;  Europe in a changing world - inclusive, innovative and reflective societies;  Secure societies - protecting freedom and security of Europe and its citizens. 21-mai-15www.big-data-europe.eu
  • 6. The three Big Data „V“ – Variety is often neglected Quelle: Gesellschaft für Informatik
  • 7. © Fraunhofer-Allianz Big Data 7 Proactive Maintenance at Rolls Royce New Business Model integrating Sensor Data & Big Data Analytics Dr. Dirk Hecker Condition Monitoring, Proactive maintenance, „Power-by-the-hour“, as-a-service Business Model – payment modell by flight hours Quelle: www.springboeck.ch/SR_Technics.htm © Mark Hillary | Flickr
  • 8. © Fraunhofer-Allianz Big Data 8 The rolling Smartphone New Business Models for the Automotive Industry with Data Value Chains Dr. Dirk Hecker Windshield wiper as rain sensors for micro wether prognosis Automotive industry can become data provider for other industries Quelle:GTÜ Quelle:www.farming-simulator.com
  • 9. © Fraunhofer-Allianz Big Data 9 Predictive Analytics Dr. Dirk Hecker From Business Intelligence to Big Data Analytics Business Intelligence Monitoring Predictive Analytics What happened before? What happens now? What will happen soon? What should happen? Prescriptive Analytics „the last Mile“ “prescriptive analytics suggests decision options on how to take advantage of a future opportunity” Quelle: BMW Quelle: www.7-forum.com Quelle: BMW Quelle: Volvo
  • 10. BigDataEurope Rationale  Show societal value of Big Data  Lower barrrier for using big data technologies o Required effort and resources o Limited data science skills  Help establishing cross- lingual/organizational/domain Data Value Chains 21-mai-15www.big-data-europe.eu
  • 11. Orthogonal Dimensions of Big Data Ecosystems Generic Big Data Enabling Technologies Data Value Chain Data Generation & Acquisition Data Analysis & Processing Data Storage & Curation Data Visualization & Usage Data-driven Services SocietalChallenges DomainSpecificDataAssets&Technology Healthcare Food Security Energy Intelligent Transport Climate & Environment Inclusive & Reflective Societies Secure Societies
  • 12. Envisioned societal stakeholder engagement cycle implemented through Big Data interest groups for each of the H2020 societal challenges
  • 13. Domains, Focus Areas & Data Assets Societal Domain Preliminary Big Data Focus area Selected Key Data assets Life Sciences & Health Heterogeneous data Linking & integration Biomedical Semantic Indexing & QA ACD Labs / ChemSpider, ChEBI, ChEMBL, Con-ceptWiki, DrugBank, EN-ZYME, Gene Ontology, GO Annotation, Swis- sProt, UniProt, Wik-iPathways, PubMed, MeSH, Disease Ontology (DO), Joint Chemical Dic-tionary (Jochem), Bio-ASQ datasets Food & Agriculture Large-scale distributed data integration INFOODS, AQUASTAT Green Learning Network (GLN), Agricultural Bibliography Network (ABN), AGRIS, AquaMaps, Fishbase Energy Real-time monitoring, stream processing, data analytics, and decision support European Energy Exchange Data, smart meter measurement data, gas/fuels/energy market/price data, consumption statistics, equipment condition monitoring data) Transport Streaming sensor network & geo- spatial data integration GTFS data, OSM/ LinkedGeoData, MobilityMaps, Transport sensor data, ROSATTE Road safety attributes, European Road Data Infrastructure - EuroRoadS Climate Real-time monitoring, stream processing, and data analytics. European Grid Infrastructure (EGI), Databases hosting atmospheric data. Several software frameworks for simulation, calibration and reconstruction. Social Sciences Statistical and research data linking & integration Federated social sciences data catalogs, statistical data from public data portals and statistical offices (e.g. EuroStats, UNESCO, WorldBank) Security Real-time monitoring, stream processing, and data analytics. Earth Observation data (e.g. Very High Resolution Satellite Imagery acquired from commercial providers and governmental systems) and collateral data for supporting CFSP/CSDP missions
  • 14. Health Example: OpenPhacts – Big Data & Drug Discovery  Precompetitive Data Platform for Pharma Industry  Integrate Multiple Research Biomedical Data Resources Into A Single Open & Free Access Point 21-mai-15www.big-data-europe.eu
  • 16. Blueprint of the Data Aggregator Platform  Follows typical Lambda Architecture  Possibly integrated on top of existing Big Data distribution Batch Layer Speed Layer Data Storage Real-time data & Transactions … Batch View Real-time View messagepassing message passing Applications & Showcases Real-time dashboards Domain-specific BDE apps Big Data Analytics In-stream Mining BDEPlatform& Intelligence Input data Stream Spatial Social Statistical Temporal Transactiona l Imagery
  • 17. Data Aggregator Platform Challenges  Ingest semantic (RDF) and non-semantic (CSV, JSON, XML, …) data o Integrate various mapping techniques (R2RML, CSV on the Web, JSON-LD)  preserve semantics, provenance and metadata in Big Data processing chains o Preserve URI/IRIs o Preserve triples  Exploit semantics for aggregations 21-mai-15www.big-data-europe.eu
  • 19. Sören Auer Big Data Europe Coordinator Fraunhofer IAIS & University of Bonn auer@cs.uni-bonn.de Thanks 21-mai-15www.big-data-europe.eu

Editor's Notes

  1. http://www.gi.de/nc/service/informatiklexikon/detailansicht/article/big-data.html
  2. Service basierte Geschäftsmodelle
  3. Jochen
  4. Quelle 4. Bild: http://images.zeit.de/mobilitaet/2014-05/auto-autonom/auto-autonom-540x304.jpg Prescriptive analytics not only anticipates what will happen and when it will happen, but also why it will happen. Further, prescriptive analytics suggests decision options on how to take advantage of a future opportunity or mitigate a future risk and shows the implication of each decision option. Prescriptive analytics can continually take in new data to re-predict and re-prescribe, thus automatically improving prediction accuracy and prescribing better decision options. Prescriptive analytics ingests hybrid data, a combination of structured (numbers, categories) and unstructured data (videos, images, sounds, texts), and business rules to predict what lies ahead and to prescribe how to take advantage of this predicted future without compromising other priorities.[8]