1. Augmenting Open Government Data with
Social Media Data
Evangelos
Kalampokis, EfthimiosTambouris, Michael
Hausenblas and KonstantinosTarabanis
W3C USING OPEN DATA Workshop
19-20 June 2012, Brussels © Information Systems Lab – 2012

2. Open Gov Data (OGD) and Social Media Data (SMD)
 Open Government Data (OGD)  Social Media Data (SMD)
– Come in various formats – Come in various formats
– Come in large numbers – Come in large numbers
– Mostly are created by the – Mostly are created by Social
public sector Media users
– Some are open – Some are open
– Are objective – Are subjective
– Are used for new value-added – Are used for new value-added
services services and research (e.g. for
predictions)
© Information Systems Lab, University of Macedonia

3. Open Government Data
© Information Systems Lab, University of Macedonia

4. Social Media Data
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5. Our Research Agenda
 Aim: Investigate and exploit the integration of OGD and SMD
 Steps:
1. Understanding OGD
2. Understanding SMD
3. OGD/SMD Integration
4. Proof-of-concept: UK elections 2010
© Information Systems Lab, University of Macedonia

6. 1. Understanding OGD: A Classification Scheme
24 official OGD initiatives
were classified based on
that framework in 2010 (this
classification may now have
changed)
Kalampokis, E., Tambouris, E., Tarabanis, K.: A
Classification Scheme for Open Government
Data: Towards Linking Decentralized Data.
International Journal of Web Engineering and
Technology 6(3), 266–285 (2011)
© Information Systems Lab, University of Macedonia

7. 2. Understanding the Use of Social Media Data:
An Analysis Framework
list of important
factors
Based on the
list of important review of ~60
relevant
factors scientific
publications
list of important
factors
list of important
factors
Evangelos Kalampokis, Efthimios Tambouris and Konstantinos Tarabanis (XXX) "Understanding the Use
of Social Media for Predictions", [submitted for evaluation]
© Information Systems Lab, University of Macedonia

8. 3. Integrating Open Government and Social Data
 Some challenges:
– Stage Model (putting everything in context)
– Identify relevant datasets
– Transforming noisy SMD into high quality structured data (e.g. using
NER etc.)
– Integrating data based on common elements (e.g. using Linked
data, etc.)
– Platform for data analytics (dashboard)
– Explanatory and predictive models
– Meaningful case studies!!
© Information Systems Lab, University of Macedonia

9. A Stage Model for OGD
Kalampokis, Ε., TambourisΕ. and TarabanisΚ., Open Government Data: A Stage Model. In: M. Janssen et al. (Eds):
EGOV2011. LNCS 6846, 235-246, 2011.
© Information Systems Lab, University of Macedonia

10. A Linked Data based Architecture
Kalampokis, E., Hausenblas, M. and Tarabanis, K., Combining Social and Government Open Data for Participatory
Decision-Making. In: E. Tambouris, A. Macintosh, and H. de Bruijn (Eds.): ePart 2011, LNCS 6847, 36–47, 2011.
© Information Systems Lab, University of Macedonia

11. 4. Proof of Concept (UK elections of 2010)
 What OGD and SMD reveal about UK elections 2010?
 We envisage two complementary views: one objective (based on
OGD) and one subjective (based on SMD) as well as one integrated
© Information Systems Lab, University of Macedonia

12. Objective view based on OGD (UK elections 2010)
Data source (X-axis): Children in poverty per parliament constituency (data.gov.uk)
(Y-axis): UK elections 2010 Labours results per constituency
 Labours won 7 out of 200 constituencies with % of children in poverty
below 17%
 Labours won 74 out of 77 constituencies with % of children in poverty
over 30%
© Information Systems Lab, University of Macedonia

13. Subjective view based on SMD (UK elections 2010)
Data source: Tweets about UK
elections
(#ge2010, #ukelection, #election20
10 and #ge10) during the last
month before elections (moving
average k = 4 days)
Data source: Poll results
(YouGov)
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14. Integrated view based on OGD + SMD
 Work still in progress (results to be announced soon)
 From a technological view, we aim to develop a dashboard like the
following:
Objective view Subjective view Integrated view
(based on OGD) (based on SMD) (based on OGD+SMD)
© Information Systems Lab, University of Macedonia

15. Conclusions and Future Work
 OGD and SMD have a huge potential for added value services
besides “trivial” apps
 This requires significant advances in exploiting OGD, SMD and their
integration.
 Our aim is to provide the infrastructure
(framework, methods, tools, platforms) necessary to exploit this
potential.
© Information Systems Lab, University of Macedonia

16. Acknowledgments
 The work presented in the paper is partly funded by
© Information Systems Lab, University of Macedonia

17. Thank you for your attention!!
Contact us at:
Evangelos Kalampokis: ekal@uom.gr
Themis Tambouris: tambouris@uom.gr
© Information Systems Lab, University of Macedonia