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Urbanopoly: Collection and Quality
Assessment of Geo-spatial Linked Data
   via a Human Computation Game



       Irene Celino, Dario Cerizza, Simone Contessa,
  Marta Corubolo, Daniele Dell’Aglio, Emanuele Della Valle,
           Stefano Fumeo and Federico Piccinini
                 Semantic Web Challenge @ ISWC 2012 - 2012/11/14
Citizen Science?




                                                                      http://www.flickr.com/photos/mountrainiernps/6997851139/
                                                                      Mount Rainier NPS




                                                                                                                                                  Glacier NPS http://www.flickr.com/photos/glaciernps/4427416227/
                              Glacier NPS http://www.flickr.com/photos/glaciernps/4427412443/


  Semantic Web Challenge @ ISWC 2012 - 2012/11/14                                                                                2   Urbanopoly
What about those citizens?




                 Gareth 1953 http://www.flickr.com/photos/gareth1953/6786545520/   paul_houle http://www.flickr.com/photos/paul_houle/3301438074/




       Boris van Hoytema http://www.flickr.com/photos/borisvanhoytema/685879933/   graziano88 http://www.flickr.com/photos/8482460@N06/6884509346/

  Semantic Web Challenge @ ISWC 2012 - 2012/11/14                                        3                                             Urbanopoly
Citizen Computation

 Human Computation                                                          Citizen Science
 exploiting human capabilities                                              exploiting volunteers
 to solve computational tasks                                            to collect scientific data or
     difficult for machines                                                to conduct experiments
                                                                                 "in the world"




                                          Citizen Computation
                                         exploiting human capabilities
                                           to contribute to a mixed
                                            computational system
                                            by living "in the world"



  Semantic Web Challenge @ ISWC 2012 - 2012/11/14       4                      Urbanopoly
Human Computation Games with a Purpose




  Purpose
   within
the game:




                                 Purpose outside the game:
                  You help image search engines by manually tagging images


    Semantic Web Challenge @ ISWC 2012 - 2012/11/14   5       Urbanopoly
Citizen Computation Game with a Purpose




         Purpose within                     Create your venues' portfolio and become
              the game:                     the greatest landlord ever!

       Purpose outside                      Collect and verify information about your city
             the game:                      by playing with the neighborhood around you

                                        http://bit.ly/urbanopoly
  Semantic Web Challenge @ ISWC 2012 - 2012/11/14     6                 Urbanopoly
Urbanopoly – high-level view

         Game purpose: check and correct geo-spatial data
          from pre-existing sources + collect missing data

                                                          game to buy / sell             2
   LinkedGeoData +                                      venues with missions
                                                                               players
 Lombardia Open Data
                                                                                       data about
                               1                                                       venues as
                                                                                        missions
                   bootstrap of
                  "venues" data

                                                                   GWAP approach to
                                                                    consolidate data 3
          verified / improved data
                 + new data
                                                    4


  Semantic Web Challenge @ ISWC 2012 - 2012/11/14        7                Urbanopoly
Urbanopoly Input Data
   OpenStreetMap (OSM)
    http://www.openstreetmap.org/
    via LinkedGeoData (LGD)
    http://linkedgeodata.org/
    data as linked data, described by an ontology

   Lombardia Open Data
    https://dati.lombardia.it
    data about "agriturismo" places as CSV converted to RDF

   Urbanopoly data bootstrap: venues are "instances" of
    selected LGD "classes" with their OSM tags as features,
    thus Urbanopoly data are RDF statements of the form:
                   <venue> <feature> <value>
    Semantic Web Challenge @ ISWC 2012 - 2012/11/14   8   Urbanopoly
Urbanopoly gameplay




                                           http://bit.ly/u-video


 Semantic Web Challenge @ ISWC 2012 - 2012/11/14     9             Urbanopoly
Urbanopoly mini-games for Data Collection




     data acquisition challenges as                       data validation challenges to check
contributions to an advertising campaign                   pre-existing data or other players’
         – left: inserting a value,                       contribution – left: answering a quiz,
          right: taking a picture                                 right: rating a poster


   Semantic Web Challenge @ ISWC 2012 - 2012/11/14   10                  Urbanopoly
Urbanopoly Data Consolidation
   Each statement has a confidence score:
                 { <venue> <feature> <value> . } <confidence>
     which indicates the probability of the statement to be true

   Each player action is taken as an evidence of the associated
    knowledge and alters the confidence score

   A weighted majority voting algorithm aggregates the evidences:
          Difficulty to acquire the contribution (e.g., typing vs. check box)
          Player’s reputation (e.g., number of errors)
          Player’s distance to the venue at contribution time (as sensed by the device)

   When the confidence score overcomes a threshold, the triple
    <venue> <feature> <value> gets consolidated


    Semantic Web Challenge @ ISWC 2012 - 2012/11/14   11          Urbanopoly
Urbanopoly Data Publication
   True statements published as linked open data
          If a statement's confidence overcomes the threshold, the statement
           is asserted: <venue> <feature> <value> (as in LGD/OSM)


   But there's more interesting information to publish!
          False statements, statements' confidence, provenance info, etc.
                                                                                                               provo:Entity



          We created a Human Computation                                contributionFrom                     aggregatedFrom    Consolidated
           ontology (http://swa.cefriel.it/ontologies/hc)                                      Contribution
                                                                                                                                Information



           extending the W3C PROV-O ontology




                                                                                                 solutionTo




                                                                                                                                       aggregatedBy
                                                           provo:Agent      Contributor



          We published this further
           knowledge as annotations to the reified                                               Human
                                                                                               Computation
                                                                                                                enabledBy         Human
                                                                                                                                Computation

           <venue> <feature> <value> statements                                   solvedBy        Task                           Algorithm




                                                                                                               provo:Activity

   Cf. http://swa.cefriel.it/linkeddata/
    Semantic Web Challenge @ ISWC 2012 - 2012/11/14   12                                  Urbanopoly
Urbanopoly Evaluation (1/2)
   "Enjoyability" of the game (engagement potential):
          Average life play: ALP = Played Time / Active Players
          ~ 100 minutes  very good result 


   "Effectiveness" of the GWAP mechanism:
          Throughput = Solved Problems / Played Time
          ~ 287 collected evidences / hour  very good 
          ~ 5 consolidated statements / hour  can be improved 


   "Precision" of the results (measured on results' subset)
          Accuracy = ( (P – FP) + (N – FN) ) / (P + N)
          ~ 92 %  very good result 



    Semantic Web Challenge @ ISWC 2012 - 2012/11/14   13   Urbanopoly
Urbanopoly Evaluation (2/2)
   "Playability" of the game
          Evaluation survey at http://bit.ly/u-survey, with questions about
           usability, social aspects, physical presence, motivation, etc.
          Feedbacks very encouraging 
   "Sociability" through Facebook channel
          With Facebook Insights (http://www.facebook.com/insights/),
           tracking of installs, demographics,
           log-ins, content sharing, etc.
          Example of published "story" on
           Facebook Timeline:
          Statistics about "stories" and
           "impressions":



          Interesting results, but channel to be further exploited 
    Semantic Web Challenge @ ISWC 2012 - 2012/11/14   14    Urbanopoly
Conclusions
   Urbanopoly is an end-user mobile application with
    a multi-language attractive user interface
   Urbanopoly manages urban data at a real scale
    (ca. 50,000 venues) from heterogeneous sources
   The meaning of data is core to the application and
    consolidated data are published as linked open data
   Urbanopoly is aimed at geo-spatial data collection and
    quality assurance, especially for dynamic data
   Our rigorous evaluation shows the high accuracy of results
    and feasibility of the approach
   Urbanopoly shows a clear commercial potential: further
    data collection or validation needs can be added as further
    mini-games or challenges within the game
    Semantic Web Challenge @ ISWC 2012 - 2012/11/14   15   Urbanopoly
Thanks for your attention!
       Questions?

            Keep on playing
             Urbanopoly!

Irene Celino – CEFRIEL, ICT Institute Politecnico di Milano
  email: Irene.Celino@cefriel.it – web: http://swa.cefriel.it
        slides at: http://www.slideshare.net/iricelino
              Semantic Web Challenge @ ISWC 2012 - 2012/11/14

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Urbanopoly: Collection and Quality Assessment of Geo-spatial Linked Data via a Human Computation Game

  • 1. Urbanopoly: Collection and Quality Assessment of Geo-spatial Linked Data via a Human Computation Game Irene Celino, Dario Cerizza, Simone Contessa, Marta Corubolo, Daniele Dell’Aglio, Emanuele Della Valle, Stefano Fumeo and Federico Piccinini Semantic Web Challenge @ ISWC 2012 - 2012/11/14
  • 2. Citizen Science? http://www.flickr.com/photos/mountrainiernps/6997851139/ Mount Rainier NPS Glacier NPS http://www.flickr.com/photos/glaciernps/4427416227/ Glacier NPS http://www.flickr.com/photos/glaciernps/4427412443/ Semantic Web Challenge @ ISWC 2012 - 2012/11/14 2 Urbanopoly
  • 3. What about those citizens? Gareth 1953 http://www.flickr.com/photos/gareth1953/6786545520/ paul_houle http://www.flickr.com/photos/paul_houle/3301438074/ Boris van Hoytema http://www.flickr.com/photos/borisvanhoytema/685879933/ graziano88 http://www.flickr.com/photos/8482460@N06/6884509346/ Semantic Web Challenge @ ISWC 2012 - 2012/11/14 3 Urbanopoly
  • 4. Citizen Computation Human Computation Citizen Science exploiting human capabilities exploiting volunteers to solve computational tasks to collect scientific data or difficult for machines to conduct experiments "in the world" Citizen Computation exploiting human capabilities to contribute to a mixed computational system by living "in the world" Semantic Web Challenge @ ISWC 2012 - 2012/11/14 4 Urbanopoly
  • 5. Human Computation Games with a Purpose Purpose within the game: Purpose outside the game: You help image search engines by manually tagging images Semantic Web Challenge @ ISWC 2012 - 2012/11/14 5 Urbanopoly
  • 6. Citizen Computation Game with a Purpose Purpose within Create your venues' portfolio and become the game: the greatest landlord ever! Purpose outside Collect and verify information about your city the game: by playing with the neighborhood around you http://bit.ly/urbanopoly Semantic Web Challenge @ ISWC 2012 - 2012/11/14 6 Urbanopoly
  • 7. Urbanopoly – high-level view Game purpose: check and correct geo-spatial data from pre-existing sources + collect missing data game to buy / sell 2 LinkedGeoData + venues with missions players Lombardia Open Data data about 1 venues as missions bootstrap of "venues" data GWAP approach to consolidate data 3 verified / improved data + new data 4 Semantic Web Challenge @ ISWC 2012 - 2012/11/14 7 Urbanopoly
  • 8. Urbanopoly Input Data  OpenStreetMap (OSM) http://www.openstreetmap.org/ via LinkedGeoData (LGD) http://linkedgeodata.org/ data as linked data, described by an ontology  Lombardia Open Data https://dati.lombardia.it data about "agriturismo" places as CSV converted to RDF  Urbanopoly data bootstrap: venues are "instances" of selected LGD "classes" with their OSM tags as features, thus Urbanopoly data are RDF statements of the form: <venue> <feature> <value> Semantic Web Challenge @ ISWC 2012 - 2012/11/14 8 Urbanopoly
  • 9. Urbanopoly gameplay http://bit.ly/u-video Semantic Web Challenge @ ISWC 2012 - 2012/11/14 9 Urbanopoly
  • 10. Urbanopoly mini-games for Data Collection data acquisition challenges as data validation challenges to check contributions to an advertising campaign pre-existing data or other players’ – left: inserting a value, contribution – left: answering a quiz, right: taking a picture right: rating a poster Semantic Web Challenge @ ISWC 2012 - 2012/11/14 10 Urbanopoly
  • 11. Urbanopoly Data Consolidation  Each statement has a confidence score: { <venue> <feature> <value> . } <confidence> which indicates the probability of the statement to be true  Each player action is taken as an evidence of the associated knowledge and alters the confidence score  A weighted majority voting algorithm aggregates the evidences:  Difficulty to acquire the contribution (e.g., typing vs. check box)  Player’s reputation (e.g., number of errors)  Player’s distance to the venue at contribution time (as sensed by the device)  When the confidence score overcomes a threshold, the triple <venue> <feature> <value> gets consolidated Semantic Web Challenge @ ISWC 2012 - 2012/11/14 11 Urbanopoly
  • 12. Urbanopoly Data Publication  True statements published as linked open data  If a statement's confidence overcomes the threshold, the statement is asserted: <venue> <feature> <value> (as in LGD/OSM)  But there's more interesting information to publish!  False statements, statements' confidence, provenance info, etc. provo:Entity  We created a Human Computation contributionFrom aggregatedFrom Consolidated ontology (http://swa.cefriel.it/ontologies/hc) Contribution Information extending the W3C PROV-O ontology solutionTo aggregatedBy provo:Agent Contributor  We published this further knowledge as annotations to the reified Human Computation enabledBy Human Computation <venue> <feature> <value> statements solvedBy Task Algorithm provo:Activity  Cf. http://swa.cefriel.it/linkeddata/ Semantic Web Challenge @ ISWC 2012 - 2012/11/14 12 Urbanopoly
  • 13. Urbanopoly Evaluation (1/2)  "Enjoyability" of the game (engagement potential):  Average life play: ALP = Played Time / Active Players  ~ 100 minutes  very good result   "Effectiveness" of the GWAP mechanism:  Throughput = Solved Problems / Played Time  ~ 287 collected evidences / hour  very good   ~ 5 consolidated statements / hour  can be improved   "Precision" of the results (measured on results' subset)  Accuracy = ( (P – FP) + (N – FN) ) / (P + N)  ~ 92 %  very good result  Semantic Web Challenge @ ISWC 2012 - 2012/11/14 13 Urbanopoly
  • 14. Urbanopoly Evaluation (2/2)  "Playability" of the game  Evaluation survey at http://bit.ly/u-survey, with questions about usability, social aspects, physical presence, motivation, etc.  Feedbacks very encouraging   "Sociability" through Facebook channel  With Facebook Insights (http://www.facebook.com/insights/), tracking of installs, demographics, log-ins, content sharing, etc.  Example of published "story" on Facebook Timeline:  Statistics about "stories" and "impressions":  Interesting results, but channel to be further exploited  Semantic Web Challenge @ ISWC 2012 - 2012/11/14 14 Urbanopoly
  • 15. Conclusions  Urbanopoly is an end-user mobile application with a multi-language attractive user interface  Urbanopoly manages urban data at a real scale (ca. 50,000 venues) from heterogeneous sources  The meaning of data is core to the application and consolidated data are published as linked open data  Urbanopoly is aimed at geo-spatial data collection and quality assurance, especially for dynamic data  Our rigorous evaluation shows the high accuracy of results and feasibility of the approach  Urbanopoly shows a clear commercial potential: further data collection or validation needs can be added as further mini-games or challenges within the game Semantic Web Challenge @ ISWC 2012 - 2012/11/14 15 Urbanopoly
  • 16. Thanks for your attention! Questions? Keep on playing Urbanopoly! Irene Celino – CEFRIEL, ICT Institute Politecnico di Milano email: Irene.Celino@cefriel.it – web: http://swa.cefriel.it slides at: http://www.slideshare.net/iricelino Semantic Web Challenge @ ISWC 2012 - 2012/11/14