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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
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
Open Government Data




     © Information Systems Lab, University of Macedonia
Social Media Data




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




         © Information Systems Lab, University of Macedonia
Thank you for your attention!!


                                 Contact us at:
    Evangelos Kalampokis: ekal@uom.gr
  Themis Tambouris: tambouris@uom.gr




© Information Systems Lab, University of Macedonia

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Augmenting Open Government Data with Social Media Data

  • 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 © Information Systems Lab, University of Macedonia
  • 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) © Information Systems Lab, University of Macedonia
  • 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