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Empowering Communities with Data Technologies – Transport Year #1 Series of WorkshopsGeneral
Overview
BIG DATA EUROPE
The Motivation – Big Data
Every day, we create 2.5 quintillion bytes of data — so much that 90% of the data in the world today has been created in the last two years alone.
This data comes from everywhere: sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records, and cell phone GPS signals to name a few.
This data is big data. Source: IBM
Big Data
1 mai 2023www.big-data-europe.eu
BIG DATA
Open DataLinked
DataLinked Open Data
Data Repositories
DatabasesData
LibrariesCatalogues
Social Media
Big Data: Dimensions
www.big-data-europe.eu
Volume
Velocity
Variety
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Veracity!
HealthClimateEnergyTransportFoodSocietiesSecurity
Big Data in Europe: Opportunities
www.big-data-europe.eu
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Regional Data Repositories
#1: Compile, Harmonise, Publish10101001101010010101
0
10101001101010010101
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#2: Interlink, Centralise Access, Explore101010100101010101001011010001010101010010101010100001011010001010101010010101010100100101010100101010101001011010
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Data Eleme
nt
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d
#3: Analyse, Discover, Visualise#4: Mashup, Cross-domain Exploitation
JournalistsCitizens Industry
Authorities
Examples: 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
Examples: Realtime Analysis (Cross-Domain)
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
Quel
le: G
TÜQuelle: www.farm
ing-simulator.com
Examples: Proactive Maintenance at Rolls Royce
New Business Model integrating Sensor Data & Big Data Analytics
Condition Monitoring, Proactive maintenance, „Power-by-the-
hour“,
as-a-service Business Model – payment model by flight hoursQuelle: www.springboeck.ch/SR_Technics.htm
© Mark Hillary | Flickr
Dr. Dirk Hecker
Big Data in Europe: Obstacles
1 mai 2023www.big-data-europe.eu
#1 Big Data “Variety“ problem Multiple Data Sources Required: Integration, Harmonisation
#2 Opening-up Data concerns Loss of control, lack of tracking Reservations about large corporations
#3 Limited Skills, Training, Technology
Lack of Data Scientists Lack of Generic Architectures, components
Data Value Chain Evolution
1 mai 2023www.big-data-europe.eu
Extraction, Curation Quality, Linking, Integration
Publication, Visualization, Analysis
Extraction, Curation, Quality, Linking, Integration, Publication,
Visualization, Analysis
HealthTransport
Security
Extraction Curation Quality Linking Integration Publication Visualization Analysis
Data Repositories Linked Open Data Cloud
Stage 1
Stage 2
Stage 3
Food SocietiesClimate Energy
BigDataEurope – The Project
1 mai 2023www.big-data-europe.eu
Rationale Show societal value of Big Data Lower barrrier for using big data
technologieso Required effort and resourceso Limited data science skills
Help establishing cross-lingual/organizational/domain Data Value Chains 1 mai 2023
BigDataEurope: Objectives
1 mai 2023www.big-data-europe.eu
COORDINATIONStakeholder Engagement
(Requirements Elicitation)
SUPPORTDesign, Realise, Evaluate
Big Data Aggregator Platform
Create and Manage Societal Big Data Interest
Groups
Cloud-deployment ready Big Data Aggregator
Platform
CSA Measures
Results
BigDataEurope: Consortium
Big Data Ecosystems: Orthogonal Dimensions
1 mai 2023www.big-data-europe.eu
Generic Big Data Enabling Technologies
Data Value Chain
Data Generation & Acquisition
Data Analysis & Processing
Data Storage & Curation
Data Visualization &
Usage
Data-driven Services
Socie
tal C
halle
nges
Dom
ain
Spec
ific D
ata
Asse
ts &
Tec
hnol
ogy Healthcare
Food Security
Energy
Intelligent Transport
Climate & Environment
Inclusive & Reflective Societies
Secure Societies
Work Packages & PhasesCommunity
Building
M1-M12 M13-M24 M25-M36
Enabling Technologies
Component Integration
Uptake
Integrator Deployment
Community Assessment
WP3 – Big Data Generic Enabling Technologies & Architecture
WP5 – Big Data Integrator Instances
WP7 – Dissemination & Communication
WP2 – Community Building & Requirements
WP4 – Big Data Integrator Platform
WP6 – Real-life Deployment & User Evaluation
Stakeholder Engagement Cycle
Current Activities – Year#1 2015 BDE Societal Workshops (7)
Plannedo Schedule on Website
7 W3C Interest Groups set up: Please Join!o SC1: HEALTH https://www.w3.org/community/bde-health/joino SC2: FOOD & AGRICULTURE https://www.w3.org/community/bde-food/o SC3: ENERGY https://www.w3.org/community/bde-energy/ o SC4: TRANSPORT https://www.w3.org/community/bde-transport/o SC5: CLIMATE & ENVIRONMENT https://www.w3.org/community/bde-climate/o SC6: SOCIETIES https://www.w3.org/community/bde-societies/ o SC7: SECURITY https://www.w3.org/community/bde-secure-societies/
www.big-data-europe.eu
HealthClimateEnergyTransportFoodSocietiesSecurity
Thank You!
www.big-data-europe.eu
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Regional Data Repositories
#1: Compile, Harmonise, Publish10101001101010010101
0
10101001101010010101
0
#2: Interlink, Centralise Access, Explore101010100101010101001011010001010101010010101010100001011010001010101010010101010100100101010100101010101001011010
001010
Data Eleme
nt
related relate
d
#3: Analyse, Discover, Visualise#4: Mashup, Cross-domain Exploitation
JournalistsCitizens Industry
Authorities
Please join: www.w3.org
/community/
bde-transport
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