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Publishing Linked Data from
   Brazilian Politicians on the Web


                     Lucas de Ramos Araújo
                        Pablo N. Mendes
                    Jairo Francisco de Souza

At the Workshop on Semantics in Governance and Policy Modelling,
      Extended Semantic Web Conference 2011 ESWC2010.

                  May 30, 2011 - Crete, Greece
Outline
●   Introduction
●   Background
●   Project Landscape
●   Linking Citizens and Politicians
●   Conclusion
Introduction: Motivation
      ●   Why?
            ●   Brazil has a substantial amount of government data
                available on the Web, but usually not structured

            ●
                Brazil ranks 61st in the United Nations E-Government
                Survey 2010 losing 16 positions since 2008 [1].

            ●   Brazilian citizens: over 90% of the interviewed have
                average, little or no interest in politics [2].

            ●   Mix information from different sources enable new
                services and offer new insights about the people and
                the government.

[1] United Nations e-Government Survey 2010 (http://unpan1.un.org/intradoc/groups/public/documents/un /unpan038851.pdf )
[2] Latin American Public Opinion (http://www.scielo.br/pdf/op/v15n2/09.pdf)
Introduction: Goal
●   Our goal?
    ●   Collect data from Brazilian politicians from different
        sources and publish them as Linked Open Data.

    ●   Enable reuse and interconnection between information
        from different sources, thus generating new knowledge.

    ●   Engage citizens in actively participating in the decisions
        being taken by their elected government.

    ●   Bridging a gap between the government and public
        opinion.
Background
 ●   Linked Open Data, incrementally:

★             make your stuff available on the Web under an open
              license

★★            make it available as structured data

★★★           use non-proprietary formats

★★★★          use URIs to identify things, so that people can point
              at your stuff

★★★★★ link your data to other data to provide context

Tim Berners-Lee's 5 star scheme. http://www.w3.org/DesignIssues/LinkedData.html
Data on the Web (1990s)
<
        Approach: Integrate in-house, expose result of integration



BD
                    Integrated       Portal                     Consumer
    BD                 Data                     WEB

         BD



                                                            Another Consumer

    ●    One cannot anticipate all uses of his/her data
          –   For some, a portal is a nice way to access data
          –   For others, it is an obstacle on their way to create
              interesting applications
Data on the Web (linked!)
<
    Linked Data Approach: expose individual data, expose linkage


                             Portal

    BD
                                                              Consumer
                LINKED DATA WEB
        BD

         BD                               Another
                                          Mashup

Integrated                                                 Another Consumer
   Data

    ●   A portal is just one option to look at the data.
         –   Third parties have the freedom to re-purpose the data
         –   Third-party perspectives may be useful for other people
         –   May be useful even for the publisher's portal!
Project Architecture
  Data
 Sources

  Supreme
Electoral Court


                                        RDF
Federal Senate



  House of         Screen    Database          LOD
Representatives
                  Scrapers                     Cloud

  Brazilian
  Politicians
                                        HTML

Excellencies
Example page: Politician
Example Structured Data: Politician

                               Linked!
Citizen
Participation              Twitter                      Facebook
                          Mentions                      Comments




Dataset
                  Votes                                               Assets

                                         Politician
      Speechs                                                                  Proposals




  Leaderships     Missions                                    State             Elections




LOD Cloud

           YAGO                DBpedia                UMBEL               GeoNames
Linking Citizens and Politicians
●   My city page:
    ●   Emphasizing the interpretation that politicians represent a certain
        group of citizens
Visualization Perspectives
●   What is my elected representative working on?
    ●   Start from keywords, dig into the text
Visualization Perspectives

●   Offering interfaces for different visualizations.
Flexibility in Exploration
●   Arbitrary queries on the data
     ●   Representatives of states with high illiteracy that
         vote on propositions related to 'education'

    SELECT DISTINCT ?politico ?estado ?analfabetismo WHERE {
      ?politico a dbpedia-owl:Politician .
      ?politico dbpedia-owl:birthPlace ?estado .
      ?estado dbpprop:analfabetismo ?analfabetismo .
      ?estado dbpprop:nome ?nome .
      ?voto <http://ligadonospoliticos.com.br/politicobr/politician> ?politician .
      ?voto <http://ligadonospoliticos.com.br/politicobr/voting> ?votacao .
      ?votacao <http://ligadonospoliticos.com.br/politicobr/proposition> ?proposicao .
      ?proposicao rdf:type polbr:proposicao.
      ?proposicao dcterms:description ?ementa
      FILTER (?analfabetismo > 20)
      FILTER regex(?ementa, "educação","i")
    }

                                                 http://pt.dbpedia.org/?q=exemplos
Linking Citizens and Politicians
●   Connecting politicians to public opinion through
    social media.
Conclusion
●   Following best practices (such as LOD) to open data
    allows citizen developers to create interesting apps
●   We hope that more data and more applications will
    engage citizens in an active dialog with the
    government
●   As future work, we intend to:
    ●   Update and link more data.
    ●   Provide a friendly interface for query formulation
    ●   Link propositions to LOD via entity extraction
    ●   Engage more developers
References
●   UNITED NATIONS. “United Nations E-Government Survey 2010”. New Yourk: UN
    Publishing Section, 2010,
    “http://unpan1.un.org/intradoc/groups/public/documents/un /unpan038851.pdf”,
    December 2010.
●   Opinião Pública.: Vol. 15, no 2, November, 2009, Encarte Tendências, Campinas,
    Brazil. p.511-542. Latin American Public Opinion (LAPOP). 2007.
    http://www.scielo.br/pdf/op/v15n2/09.pdf. March, 2011.

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Ligado nos Políticos at ESWC'2011 Workshop

  • 1. Publishing Linked Data from Brazilian Politicians on the Web Lucas de Ramos Araújo Pablo N. Mendes Jairo Francisco de Souza At the Workshop on Semantics in Governance and Policy Modelling, Extended Semantic Web Conference 2011 ESWC2010. May 30, 2011 - Crete, Greece
  • 2. Outline ● Introduction ● Background ● Project Landscape ● Linking Citizens and Politicians ● Conclusion
  • 3. Introduction: Motivation ● Why? ● Brazil has a substantial amount of government data available on the Web, but usually not structured ● Brazil ranks 61st in the United Nations E-Government Survey 2010 losing 16 positions since 2008 [1]. ● Brazilian citizens: over 90% of the interviewed have average, little or no interest in politics [2]. ● Mix information from different sources enable new services and offer new insights about the people and the government. [1] United Nations e-Government Survey 2010 (http://unpan1.un.org/intradoc/groups/public/documents/un /unpan038851.pdf ) [2] Latin American Public Opinion (http://www.scielo.br/pdf/op/v15n2/09.pdf)
  • 4. Introduction: Goal ● Our goal? ● Collect data from Brazilian politicians from different sources and publish them as Linked Open Data. ● Enable reuse and interconnection between information from different sources, thus generating new knowledge. ● Engage citizens in actively participating in the decisions being taken by their elected government. ● Bridging a gap between the government and public opinion.
  • 5. Background ● Linked Open Data, incrementally: ★ make your stuff available on the Web under an open license ★★ make it available as structured data ★★★ use non-proprietary formats ★★★★ use URIs to identify things, so that people can point at your stuff ★★★★★ link your data to other data to provide context Tim Berners-Lee's 5 star scheme. http://www.w3.org/DesignIssues/LinkedData.html
  • 6. Data on the Web (1990s) < Approach: Integrate in-house, expose result of integration BD Integrated Portal Consumer BD Data WEB BD Another Consumer ● One cannot anticipate all uses of his/her data – For some, a portal is a nice way to access data – For others, it is an obstacle on their way to create interesting applications
  • 7. Data on the Web (linked!) < Linked Data Approach: expose individual data, expose linkage Portal BD Consumer LINKED DATA WEB BD BD Another Mashup Integrated Another Consumer Data ● A portal is just one option to look at the data. – Third parties have the freedom to re-purpose the data – Third-party perspectives may be useful for other people – May be useful even for the publisher's portal!
  • 8. Project Architecture Data Sources Supreme Electoral Court RDF Federal Senate House of Screen Database LOD Representatives Scrapers Cloud Brazilian Politicians HTML Excellencies
  • 10. Example Structured Data: Politician Linked!
  • 11. Citizen Participation Twitter Facebook Mentions Comments Dataset Votes Assets Politician Speechs Proposals Leaderships Missions State Elections LOD Cloud YAGO DBpedia UMBEL GeoNames
  • 12. Linking Citizens and Politicians ● My city page: ● Emphasizing the interpretation that politicians represent a certain group of citizens
  • 13. Visualization Perspectives ● What is my elected representative working on? ● Start from keywords, dig into the text
  • 14. Visualization Perspectives ● Offering interfaces for different visualizations.
  • 15. Flexibility in Exploration ● Arbitrary queries on the data ● Representatives of states with high illiteracy that vote on propositions related to 'education' SELECT DISTINCT ?politico ?estado ?analfabetismo WHERE { ?politico a dbpedia-owl:Politician . ?politico dbpedia-owl:birthPlace ?estado . ?estado dbpprop:analfabetismo ?analfabetismo . ?estado dbpprop:nome ?nome . ?voto <http://ligadonospoliticos.com.br/politicobr/politician> ?politician . ?voto <http://ligadonospoliticos.com.br/politicobr/voting> ?votacao . ?votacao <http://ligadonospoliticos.com.br/politicobr/proposition> ?proposicao . ?proposicao rdf:type polbr:proposicao. ?proposicao dcterms:description ?ementa FILTER (?analfabetismo > 20) FILTER regex(?ementa, "educação","i") } http://pt.dbpedia.org/?q=exemplos
  • 16. Linking Citizens and Politicians ● Connecting politicians to public opinion through social media.
  • 17. Conclusion ● Following best practices (such as LOD) to open data allows citizen developers to create interesting apps ● We hope that more data and more applications will engage citizens in an active dialog with the government ● As future work, we intend to: ● Update and link more data. ● Provide a friendly interface for query formulation ● Link propositions to LOD via entity extraction ● Engage more developers
  • 18. References ● UNITED NATIONS. “United Nations E-Government Survey 2010”. New Yourk: UN Publishing Section, 2010, “http://unpan1.un.org/intradoc/groups/public/documents/un /unpan038851.pdf”, December 2010. ● Opinião Pública.: Vol. 15, no 2, November, 2009, Encarte Tendências, Campinas, Brazil. p.511-542. Latin American Public Opinion (LAPOP). 2007. http://www.scielo.br/pdf/op/v15n2/09.pdf. March, 2011.