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Semantic Games


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Semantic Games

  1. 1. Semantic Games<br />Year 2 Review 2011<br />Katharina Siorpaes, UIBK<br /><br /><br />
  2. 2. Agenda<br />Introduction<br />The OntoGame series<br />Lessonslearnt<br />Gaming API<br /><br />4/13/11<br /><br />2<br />
  3. 3. Introduction<br />4/13/11<br /><br />3<br />
  4. 4. Problem<br />4/13/11<br /><br />4<br />4<br />
  5. 5. Games<br />4/13/11<br /><br />5<br />> 300million downloads1<br />They are fun…<br />200 million <br />people play casual games2<br />>15 million daily active players3<br />Casual Games Market Report, 2007<br /><br />Facebook application statistics, Feb 2011<br />5<br />
  6. 6. Casual games<br />Steep learning curve<br />Fast game play: little time effort required <br />Simple implementation (simple interface and graphics)<br />Low hardware efforts (usually browser or mobile app)<br />Low bandwidth requirements<br />Mass audience<br /><br />6<br />4/13/11<br />
  7. 7. The ontogameseries<br />4/13/11<br /><br />7<br />
  8. 8. 8<br /><br /><br />
  9. 9. OntoPronto and OntoTube<br />4/13/11<br /><br />9<br />
  10. 10. OntoGame<br />Players paired randomly and anonymously<br />Best strategy to get points: truthful answers<br />2 player live mode or<br />Community matching mode<br />Skip<br />Limited amount of time<br />Cheating: <br />Anonymity<br />Pre-recorded challenges<br />Generic gaming platform <br />Derive formal representations of the data<br />All data exported as linked data <br /><br />10<br />4/13/11<br />
  11. 11. SpotTheLink: ontologymatching<br />Players: 2 (anonymouslypaired)<br />Time: 2 minutes<br />Type: Online casualgame (browser)<br />Task: <br />Describingrelationshipsbetween 2 concepts.<br />Input ontologies in thisexample: DBPedia and Proton.<br />Input: 2 ontologies, SKOS concepts. <br />Output: Alignmentsbetween 2 ontologies. <br /><br />11<br />4/13/11<br />
  12. 12. SpotTheLink: ontologymatching<br /><br />12<br />4/13/11<br />
  13. 13. SpotTheLink: ontologymatching<br /><br />13<br />4/13/11<br />
  14. 14.<br />SpotTheLink – Data generation and results<br /><ul><li>Align DBpedia concepts with ProtonT concepts using SKOS
  15. 15. 77.84% consensual answers, 80% valid alignments </li></ul>PROTON<br />4/13/11<br />14<br />
  16. 16. SEAFISH: image annotation<br />Players: 2 (anonymouslypaired)<br />Time: 2 minutes<br />Type: Online casualgame (browser)<br />Task: Sortingrelated and unrelatedimages. <br />Input: DBPediaimages, Google images. <br />Output: Improved image annotations. <br /><br />15<br />4/13/11<br />
  17. 17. SEAFISH<br /><br />16<br />4/13/11<br />
  18. 18.<br />SEAFish – Annotating images (1/2)<br />4/13/11<br />17<br />
  19. 19.<br />SEAFish– Annotating images (2/2)<br />4/13/11<br />18<br />
  20. 20. SeaFish – Collected Data<br />3 Different data sets<br />An online survey<br />Feedback from Siegen, Trento <br />14456 Modeling decisions <br />931 Game rounds <br />548 Generated annotations<br />4/13/11<br /><br />19<br />
  21. 21. SeaFish evaluation<br />4/13/11<br /><br />20<br />96% of the players understood the game’s goal.<br />
  22. 22. Tubelink: videointerlinking<br />Players: 2 (anonymouslypaired)<br />Time: TBD<br />Type: Online casualgame (browser)<br />Task: Choosingnodesfrom LOD forvideos. <br />Selectingdatasets, <br />Selectingnodes. <br />Input: YouTubevideos, LOD (DBPedia). <br />Output: AnnotationsforYouTubeusing LOD. <br /><br />21<br />4/13/11<br />
  23. 23. Tubelink<br /><br />22<br />4/13/11<br />
  24. 24. Tubelink<br /><br />23<br />4/13/11<br />
  25. 25. Lessonslearnt<br />4/13/11<br /><br />24<br />
  26. 26. Lessonslearnt<br />Task selection<br />Not too easy nor too difficult, suitable for a broad audience, not too many game rounds (3-5)<br />Simple challenges (nottoomanystages, etc.)<br />Limitedspace of choice<br />Allow fast gameplay<br />Game fun: user interface and social factor<br />Compromise: usability and appealing design<br />It isnot trivial to make an interesting user interface<br />Competition and reputation<br />Ranking is a good motivator<br />Sociability<br />Playing against other people ismotivating<br />Partner!<br />Knowledge corpora<br />Interesting domain, structure and size of the corpora<br /><br />25<br />4/13/11<br />
  27. 27. GAMING Api<br />4/13/11<br /><br />26<br />
  28. 28. OntoGame API<br />API that provides several methods that are shared by the OntoGame games, such as: <br />Different agreement types, e.g. Selection Agreement<br />Input matching (e.g. majority)<br />Game modes (double player, single player) <br />Player reliability evaluation. <br />Player matching, e.g. finding the optimal partner to play.<br />Resource( = data needed for games) management.<br />Semantic data extraction of stored game data.<br /><br /><br />27<br />4/13/11<br />
  29. 29.<br />4/13/11<br /><br />28<br />
  30. 30. 4/13/11<br /><br />29<br />
  31. 31. 4/13/11<br /><br />30<br />
  32. 32. Summary<br />Games<br /><br />SPARQL endpoint<br /><br />Communityportal<br /><br />Gamessurvey<br /><br />Interlinking survey<br /><br />4/13/11<br /><br />31<br />
  33. 33. References<br />Luis von Ahn. Games With A Purpose. IEEE Computer Magazine, June 2006. pp 96-98.<br />Luis von Ahn and Laura Dabbish. Designing games with a purpose. Communications of the ACM, 2008.<br />Katharina Siorpaes and Elena Simperl: Human Intelligence in the Process of Semantic Content Creation, World Wide Web Journal (WWW), Volume 13, Issue 1-2, March 2010.<br />Katharina Siorpaes and Martin Hepp: Games with a Purpose for the Semantic Web. IEEE Intelligent Systems, Vol. 23, No. 3, pp. 50-60, May/June 2008.<br />CasualGame Association White Paper:<br />List of games:<br /><br />32<br />4/13/11<br />
  34. 34. BACKUP<br />4/13/11<br /><br />33<br />
  35. 35. Tasks and deliverables<br />All tools are available on<br />Information about tools is provided on<br />4/13/11<br /><br />34<br />
  36. 36. Work plan view<br />Months<br />24<br />12<br />18<br />30<br />36<br />6<br />0<br />Tasks <br />SEMANTIC GAMES<br />D4.1.1 Requirements and Design of a Generic Gaming Toolkit and API<br />D4.1.2 Generic Gaming Toolkit and API implementation<br />D4.1.3 Games<br />Task 4.1 Genericgaming toolkit<br />UIBK <br />WEB SERVICE ANNOTATION CHALLENGE<br />D4.2.2 Human‐driven annotation tools for Web services<br />D4.2.1 Human‐driven annotation tools for Web services<br />Task 4.2 Human‐driven Annotation Tools<br />SEEKDA/ONTO<br />D4.2.4 Human‐driven media annotation tools<br />BOOTSTRAPPING TOOL AND L!NKS SEMI AUTOMATIC IMAGE ANNOTATION<br />D4.2.3 Human‐driven media annotation tools<br />D4.3.2 Bootstrapping tools for image files<br />Task 4.3 Bootstrapping Tools<br />UNITN<br />D4.3.1 Bootstrapping tools for image files<br />L!NKS MANUAL IMAGE ANNOTATION AND SEARCH<br />D4.4.2 Search and Navigation tools<br />Task 4.4 Search and Navigation Tools<br />ONTO<br />D4.4.1 Search and Navigation tools<br />
  37. 37. Guidelines<br />Timed response<br />Score keeping<br />Player skill level<br />High score lists<br />Randomness<br />Random player pairing<br />Player testing<br />Repetition<br />Taboo outputs<br /><br />36<br />Luis von Ahn. Games With A Purpose. IEEE Computer Magazine, June 2006. pp 96-98.<br />4/13/11<br />
  38. 38. How to design your own game<br />Specify output<br />Identify input<br />Choose type of game and define game play<br />Based on previous decisions, define game play and adapt underlying game ontology<br />Adapt or define export algorithm<br />Evaluate output<br /><br />37<br />4/13/11<br />
  39. 39. OntoTube: designflaws<br />Consensus findinghard: toomanyoptions to choosefrom. <br />Gameplaycomplex: toomany different stages (8 questions). <br />Toocomplexinterfaces: playershave to choosefromwidelyvaryingUis in different stages of the samegame. <br />Videos toolong: for a fast gameplay, usersshouldnotberequired to watch the completevideo. <br />Socialfactor: the interactionwith the partneristoolow – players do notenjoy the gamebecause the emphasis on the socialcomponentismissing. <br /><br />38<br />4/13/11<br />
  40. 40. Challenges<br />Identifying suitable tasks in semantic content creation<br />Designing games<br />Designing a usable, attractive interface <br />Identifying suitable knowledge corpora <br />Preventing cheating<br />Defusing typical pitfalls of conceptual modeling<br />Distribution of labor<br />Fostering user participation<br />Deriving formal representations <br />Scalability and performance<br /><br />39<br />4/13/11<br />
  41. 41. Evaluation<br /><ul><li>2 resource data sets:
  42. 42. Game logs
  43. 43. Questionaire about the game
  44. 44. 16 players, mostly male and computer scientists
  45. 45. ~ 300 minutes played game time, 380 game rounds, 882 inputs recorded</li></ul>4/13/11<br />40<br /><br />
  46. 46. Evaluation results<br />4/13/11<br />41<br /><br />
  47. 47. SpotTheLinkResults<br /><br />42<br />4/13/11<br />