Presentation of the Big Data Europe project (http://www.big-data-europe.eu) at the EIP Water Conference 2016 in Leeuwarden, The Netherlands. Taking place on 09/02/2016 at the Wetsus Campus in Leeuwarden, the Netherlands in the course of an ICT4Water workshop.

1. BIG DATA EUROPE
H2020 COORDINATION & SUPPORT ACTION
EMPOWERING COMMUNITIES WITH DATA TECHNOLOGIES
FEBRUARY 2016
HTTP://WWW.BIG-DATA-EUROPE.EU/
Integrating Big Data, Software & Communities for Addressing
Europe’s Societal Challenges
#EIPWater2016

2. Semantic Web Company
(SWC)
SWC was founded 2001, head-quartered in Vienna
30 experts in linked data technologies
Product: PoolParty Semantic Suite (launched 2009)
Serving customers from all over the world
EU- & US-based consulting services

3. SWC: Portfolio & Core Product
PoolParty is a world-class semantic
technology suite that offers sharply
focused solutions to your knowledge
organization and content business.
PoolParty Semantic Suite
http://www.poolparty.biz

4. SWC: Customers & Partners
Some of our Customers
● Credit Suisse
● Boehringer Ingelheim
● Roche
● Wolters Kluwer
● BMJ Publishing Group
● Red Bull Media House
● Canadian Broadcasting Corporation (CBC)
● Pearson
● Council of the EU
● DG Environment, EC
● Healthdirect Australia
● Ministry of Finance (Austria)
● World Bank Group
● Inter-American Development Bank (IADB)
● International Atomic Energy Agency (IAEA)
● Buildings Performance Institute Europe
(BPIE)
● Renewable Energy & Energy Efficiency P
(REEEP)
● Global Buildings Performance Network
(GBPN)
● American Physical Society
Finance / Automotive / Publisher / Health Care / Public Administration / Energy /
Education
Selected Partners
● EBCONT
● EPAM Systems
● iQuest
● PwC
● Tenforce
● OpenLink Software
● Ontotext
● MarkLogic
● Gravity Zero
● Altotech
● Wolters Kluwer
● Taxonomy Strategies
● Digirati
● Fraunhofer (IAIS)
● University of Leipzig
(INFAI)
We all have one goal in mind: Make machines smart enough so that
they can help us to find those needles in the haystack, which are
really relevant to us.

5. SWC: a research driven SME
http://www.aligned-project.eu/
http://lod2.eu
http://semagrow.eu/
http://www.big-data-europe.eu/
http://www.openfridge.net/
http://nolde.at/
http://www.kiwi-project.eu/
1st EC
Innovation
Radar 2015

6. 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:

7. The Motivation – Data
Management
BIG
DATA

8. Big Data Dimensions
Volume
Velocity
Variety
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.
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Veracity!
Value !!!

9. Big Data Dimensions

10. Big Data in Europe: Challenges,
Opportunities
Health
Climate
Energy
Transport
Food
Societies
Security
Lorem
ipsum
dolors
KSDJO
PSCKK
SDKAB
LKASJL
LAWWD
S
wpweppe
pwpisio
we
10101
00110
10100
10101
0
Regional Data Repositories
10101
00110
10100
10101
0
10101
00110
10100
10101
0
#2: Interlink, Centralise Access, Explore
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Data
Eleme
nt
#3: Analyse, Discover, Visualize
#4: Mashup, Cross-domain Exploitation
Journalists Authorities

11. Big Data in Europe:
Obstacles
9-févr.-16
#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

12. Big Data in Europe:
Obstacles
9-févr.-16
Extraction, Curation Quality, Linking,
Integration
Publication,
Visualization, Analysis
Extraction, Curation, Quality,
Linking, Integration, Publication,
Visualization, Analysis
Health
Transport
Security
Extraction Curation Quality Linking Integration Publication Visualization Analysis
Data Repositories Linked Open Data
Cloud
Stage 1
Stage 2
Stage 3
Food SocietiesClimate Energy

13. BDE Partners: Community – Tech -
Network

14. 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
9-févr.-16

15. Rationale
COORDINATION
Stakeholder Engagement
(Requirements Elicitation)
SUPPORT
Design, Realise, Evaluate
Big Data Aggregator
Platform
Create and Manage Societal
Big Data Interest Groups
Cloud-deployment ready
Big Data Aggregator
Platform
CSA
Measures
Results

16. Summary
Two clearly defined coordination and support measures:
 Coordination: Engaging with a diverse range of stakeholder groups representing particularly
the Horizon 2020 societal challenges Health, Food & Agriculture, Energy, Transport, Climate,
Social Sciences and Security; Collecting requirements for the ICT infrastructure needed by data-
intensive science practitioners tackling a wide range of societal challenges; covering all aspects
of publishing and consuming semantically interoperable, large-scale data and knowledge assets;
 Support: Designing, realizing and evaluating a Big Data Aggregator platform infrastructure
that meets requirements, minimises disruption to current workflows, and maximises the
opportunities to take advantage of the latest European RTD developments (incl. multilingual data
harvesting, data analytics & visualisation).
BigDataEurope will implement and apply two main instruments to successfully realize these
measures:
 Build Societal Big Data Interest/Community Groups in the W3C interest group scheme &
involving a large number of stakeholders from the Horizon 2020 societal challenges as well as
technical Big Data experts;
 Design, integrate and deploy a cloud-deployment-ready Big Data aggregator platform

17. 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

18. Methodology of Requirements Engineering
BDE Approach & Methodology
• BDE Core Question Matrix as a basic Tool
• Online Survey (20.5. – 26.6.2015, 394
Participants)
• 7 x 15 Face to Face Interviews (3 x 5 per SC)
• 7 Workshops in 2015 (7 in 2016, 7 in 2017)
• 7 BDE Pilot (Use Case) ideas / specifications
Requirements
Use case
pilots
Online
survey
Interviews

19. BDE Stakeholder Engagement Approach &
Activities
BDE Community Tools – JOIN IN NOW !
• Website: news, events, community, …
• 7 x BDE W3C Community Groups
• 7+1x Mailing Lists
• 7 x SC Workshops/Year = 21 Workshops
• HangOuts & Webinars (Next: 2.3. - 14.00)
Technology Outlook – coming soon
• BDE Aggregator Platform
• For Download & Cloud Version
• Big Data Technology Support Tools
• 7+ BDE Pilots

20. Work Packages & Implementation
Phases
Community
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

21. Blueprint of the Data Aggregator
Platform
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
Transaction
al
Imagery
+ Semantic
Layer
Lambda Architecture

22. Announcements….
• BDE Architecture & Platform Webinar, 02.03.2016, 14.00pm, LINK
• Big Data Europe MeetUp Salzburg, 26.02.2016, 16.00pm , LINK
• 2016 Conference on Big Data from Space, March 15, 2016,
LINK
• 2nd BDE Workshop Series, 2nd half of 2016 – to be announced
soon!
SEMANTiCS2016, 13.-14. September 2016
Leipzig, Germany, http://www.semantics.cc
EDF2016, 29-30 June 2016
Eindhoven, Netherlands, http://2016.data-forum.eu
BDVA Small Summit2016, 2.-3. March 2016
The Hague, Netherlands, LINK

23. Martin Kaltenböck, m.kaltenboeck@semantic-web.at
Semantic Web Company GmbH
Mariahilfer Strasse 70/8, A-1070 Vienna
+43-1-4021235
http://www.semantic-web.at
http://www.poolparty-software.com
http://slideshare.net/semwebcompany
http://youtube.com/semwebcompany
Your Questions please….
www.big-data-europe.eu
9-févr.-16
#BigDataEurope