Emanuele Della Valle DEIB - Politecnico di Milano http ://emanueledellavalle.org Joint work with • Irene Celino CEFRIEL • Roberto Gualandris Politecnico di Milano ON THE EFFECTIVENESS OF A MOBILE PUZZLE GAME UI TO CROWDSOURCE LINKED DATA MANAGEMENT TASKS CrowdUI Workshop, AVI 2014, May 27, 2014 Emanuele Della Valle - http://emanueledellavalle.org 1
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On the effectiveness of a Mobile Puzzle Game UI to Crowdsource Linked Data Management tasks
Linked Data publishing on the Web is a stably growing phenomenon, but its effective usage depends on the ability of consumers to assess the trustworthiness and the relevance of the published data. Pure automatic techniques are often inadequate to this end. Crowdsourcing is often advocated as a valuable solution. In this presentation, we propose WikiFinder – a Games With A Purpose inspired by popular mobile puzzle games – and we report on its effectiveness in solving typical Linked Data Management tasks.
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Emanuele Della Valle - http://emanueledellavalle.org 1
Emanuele Della Valle DEIB - Politecnico di Milanohttp://emanueledellavalle.org
Joint work with• Irene Celino
CEFRIEL• Roberto Gualandris
Politecnico di Milano
ON THE EFFECTIVENESS OF A MOBILE PUZZLE GAME UI TO CROWDSOURCE LINKED DATA MANAGEMENT TASKS
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Agenda• Context: linked data• Problem space: assess trustworthiness and relevance of linked data• Solution space• Automatic solutions• Crowdsourcing alternative solutions (Focus on Game with a
Purpose)• Contribution: WikiFinder• Analysis of results obtained with WikiFinder• Distinguishing true from false facts• Identifying relevant facts• Other tasks• Discussion • Conclusions and future worksCrowdUI Workshop, AVI 2014, May 27, 2014
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Context Linked Data publishing: a growing phenomenon
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Problem spaceAssess trustworthiness and relevance of data• Are the following two statements true?• The airport of Milano Malpensa is in Milan• http://dbpedia.org/page/Malpensa_Airport
dbpedia-owl:city dbpedia:Milan
• Leornardo da Vinci was born in Vinci• http://dbpedia.org/page/Leonardo_da_Vinci
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State of the art solution Automatic techniques can fail• Are the following two statements true?• The airport of Milano Malpensa is in Milano• A map based system can provide the answer• Leornardo da Vinci was born in Vinci• Data quality tools and instance matching may give the right answer
•Which is more relevant?• No heuristic for or dataset of human association strengths
between Linked Data entities is available
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Innovative solutionGame With a Purpose and Linked Data 1/3
Jörn Hees, Thomas Roth-Berghofer, Ralf Biedert, Benjamin Adrian, Andreas Dengel: BetterRelations: Collecting Association Strengths for Linked Data Triples with a Game. SeCO Book 2012: 223-239CrowdUI Workshop, AVI 2014, May 27,
2014
Subject
Property
Object
Property
Object
BetterRelations
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Innovative solutionGame With a Purpose and Linked Data 2/3
Jörn Hees, Mohamed Khamis, Ralf Biedert, Slim Abdennadher, Andreas Dengel: Collecting Links between Entities Ranked by Human Association Strengths. ESWC 2013: 517-531
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Subjectrelated to
Object
Object
Knowledge Test Game
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Innovative solutionGame With a Purpose and Linked Data 3/3• Other similar approaches• Siorpaes, K., Hepp, M.: OntoGame: Towards Overcoming the
Incentive Bottle- neck in Ontology Building. In: Proc. of the 3rd International IFIP Workshop On Semantic Web & Web Semantics (SWWS), Vilamoura, Portugal, Springer, LNCS (2007) • Kny, E., Kölle, S., Töpper, G., Wittmers, E.: WhoKnows?
Individuals Semantic Quiz – A Jeopardy like Quiz Game for Ranking Facts. In: Proc. of the I-SEMANTICS, Graz, Austria, pp. 71–78. ACM (2011)
• Broader approach• E. Simperl, B. Norton, and D. Vrandecic. Crowdsourcing Tasks within Linked Data Management. In Proceedings of COLD2011, volume 782. CEUR-WS.org, 2011.
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ContributionMobile puzzle games with a purpose 1/3
Subject Property
Object
Alternative 1
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ContributionMobile puzzle games with a purpose 2/3
Alternative 2Property
Object
Subject
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ContributionMobile puzzle games with a purpose 3/3
Property
Object
SubjectAlternative 3
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ContributionWikiFinder: a mobile puzzle game with a purpose
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ContributionWikiFinder: building the puzzle
True triples
False triples
Negation as failure
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Analysis Statistics about WikiFinder • Players: 44• Game played: 440• Triples proposed: 1127• True triples: 246• False triples: 881• Total hours played: 7,3 hours• Average life play per user: 10 minutes
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Analysis Distinguishing between true and false triples
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Analysis Triples “popularity” – cf. with manual rank
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Analysis Accuracy on property domain
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Analysis Accuracy on property range
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Analysis Wrapping up•WikiFinder is effective in • distinguishing true triples from false ones• identifying relevant triples• identifying the domain of
the predicate
•WikiFinder is not effective in • Identifying the range of
the predicates• A bias introduced by the
game?• Shall the player be allowed to
play also from right to left?
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Conclusions and future work•WikiFinder approach • is effective for some Linked Data Management tasks• is worth further investigation• Next steps• Improve the game play• Implement the other alternatives• Focus the puzzle content• Broaden the evaluation• Run comparative evaluations against alternative mobile puzzle
games• Run comparative evaluations against other approaches
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Irene Celino CEFRIELEmanuele Della Valle DEIB - Politecnico di MilanoRoberto Gualandris Politecnico di Milano