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Das QROWD-Projekt - Because Big Data Integration is Humanly Possible

LSWT2019 Talk by Simon Bin, AKSW/InfAI e.V.; Patrick Westphal, AKSW/InfAI e.V.

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The QROWD Project
H2020 Project, December 2016 - December 2019
LSWT 2019
Simon Bin, Patrick Westphal, Claus Stadler, Gordian Dziwis (InfAI)
This project has received funding from the European
Union’s Horizon 2020 research and innovation
programme
Motivation
2

Information
services
{[]}
CSV
<?xml …>
…
“Data at rest”
“Data in motion”
Data
Integration
● Efficient data-driven
transportation and
mobility
● Reduce CO2 emissions
● Assess the quality of
infrastructure
● Enhance the quality of
life of citizens
Data Analytics
Inform
Optimize
2
The Consortium
3

- Business technology company
- Data generation and acquisition
- In-car location and navigation company
- Data and service provider
- Software architecture and Semantic
Web company
- Architecture design and integration of
QROWD platform
- Business and marketing consulting
company
- Dissemination, communication and
exploitation
- University of Southampton
- Human computation, crowdsourcing
and citizen science
- University of Trento
- Mobile app for citizen sensing/crowd
feedback
- Central storage infrastructure
- Research institute @Leipzig University
- Data transformation and integration
- Analytics
- Municipality of Trento
- Data provider
- End user role
3
The Model Region
4

City of Trento
● Capital of Trentino region (Italy)
● People: 120.000 (2017)
● Third largest city in the Alps;
second largest in the Tyrol
● Smartest mid-sized city in Italy (iCity Rate, 2017)
4
The Overall Data Flow 5
QROWD citizen
feedback component
{[]}
CSV
<?xml …>
…
…
Links
Represent-
atives
QROWD
Platform
…
???
Questions/answers
DBpedia,
LinkedgeoData, ...
LOD Cloud
QROWD data
conversion component
(SparqlIntegrate, ...)
QROWD analytics
components
(DL-Learner, ...)
QROWD linking and
fusion components
(LIMES, …)
Data Acquisition
6

● SparqlIntegrate
6
process.sparqlgenerate-workloads.script workloads.sparql emit.sparql
distributions
generates
references
adds
iterates workloads selects output triples
yields
references

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Das QROWD-Projekt - Because Big Data Integration is Humanly Possible

  • 1. The QROWD Project H2020 Project, December 2016 - December 2019 LSWT 2019 Simon Bin, Patrick Westphal, Claus Stadler, Gordian Dziwis (InfAI) This project has received funding from the European Union’s Horizon 2020 research and innovation programme
  • 2. Motivation 2  Information services {[]} CSV <?xml …> … “Data at rest” “Data in motion” Data Integration ● Efficient data-driven transportation and mobility ● Reduce CO2 emissions ● Assess the quality of infrastructure ● Enhance the quality of life of citizens Data Analytics Inform Optimize 2
  • 3. The Consortium 3  - Business technology company - Data generation and acquisition - In-car location and navigation company - Data and service provider - Software architecture and Semantic Web company - Architecture design and integration of QROWD platform - Business and marketing consulting company - Dissemination, communication and exploitation - University of Southampton - Human computation, crowdsourcing and citizen science - University of Trento - Mobile app for citizen sensing/crowd feedback - Central storage infrastructure - Research institute @Leipzig University - Data transformation and integration - Analytics - Municipality of Trento - Data provider - End user role 3
  • 4. The Model Region 4  City of Trento ● Capital of Trentino region (Italy) ● People: 120.000 (2017) ● Third largest city in the Alps; second largest in the Tyrol ● Smartest mid-sized city in Italy (iCity Rate, 2017) 4
  • 5. The Overall Data Flow 5 QROWD citizen feedback component {[]} CSV <?xml …> … … Links Represent- atives QROWD Platform … ??? Questions/answers DBpedia, LinkedgeoData, ... LOD Cloud QROWD data conversion component (SparqlIntegrate, ...) QROWD analytics components (DL-Learner, ...) QROWD linking and fusion components (LIMES, …)
  • 6. Data Acquisition 6  ● SparqlIntegrate 6 process.sparqlgenerate-workloads.script workloads.sparql emit.sparql distributions generates references adds iterates workloads selects output triples yields references
  • 7. 7  ● 7 Linking and Fusion Use Case ‘Bike Rack’
  • 8. Linking and Fusion Use Case ‘Bike Rack’ 8  ● Linking on geodata 8
  • 9. Analytics Use Case ‘Modal Split’ 9  9 ● Task: Given commute information captured on citizens’ smartphones + (geospatial) background knowledge, detect the citizens’ transportation mode ● Detected modes can be aggregated → ‘Modal split’ ● Distinctive patterns based on implicit spatial relations (near, starts near, ends near, runs along, passes, is within, crosses, …) ○ Commute ran along a line feature of type Railway→ transportation mode is probably ‘train’ ○ Commute started and ended near POI of type BusStop → transportation mode is probably ‘bus’ ○ …
  • 10. Analytics Use Case ‘Modal Split’ 10 QROWD citizen feedback component {[]} CSV <?xml …> … QROWD data conversion component (SparqlIntegrate, ...) … QROWD analytics components (DL-Learner, ...) - OWL Reasoning (via off-the-shelf OWL reasoner + optimizations) - Spatial learning extension - Temporal learning extension QROWD linking and fusion components (LIMES, …) Links Represent- atives QROWD mobile app for citizen sensing and feedback (i-Log) QROWD Platform …GPS data ??? … Questions/answers DBpedia, LinkedgeoData, ... LOD Cloud Trento-specific opendatasets
  • 12. Analytics Use Case ‘Modal Split’ 12 spatialReasoner.getSpatialIndividualsOnWhichRunsAlong(bikeRide) > [ <http://linkedgeodata.org/triplify/way257254437>, <http://linkedgeodata.org/triplify/way413052887>, <http://linkedgeodata.org/triplify/way493758696>, <http://linkedgeodata.org/triplify/way257254437> ]