semantic games

Semantic GamesYear 2 Review 2011

Katharina Siorpaes, UIBKwww.insemtives.eu

http://blog.insemtives.eu

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Agenda

• Introduction• The OntoGame series• Lessons learnt• Gaming API• www.semanticgames.org

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INTRODUCTION

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Problem

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Games

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They are fun…

> 300 million downloads1

>15 million daily active players3

200 million people play casual games2

1. Casual Games Market Report, 20072. http://www.casualgamesassociation.org/news.php3. Facebook application statistics, Feb 2011

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Casual games

1. Steep learning curve2. Fast game play: little time effort required 3. Simple implementation (simple interface and

graphics)4. Low hardware efforts (usually browser or

mobile app)5. Low bandwidth requirements6. Mass audience

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THE ONTOGAME SERIES

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http://www.ontogame.orghttp://apps.facebook.com/ontogame

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OntoPronto and OntoTube

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OntoGame

• Players paired randomly and anonymously• Best strategy to get points: truthful answers• 2 player live mode or• Community matching mode• Skip• Limited amount of time• Cheating:

– Anonymity– Pre-recorded challenges

• Generic gaming platform • Derive formal representations of the data• All data exported as linked data

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SpotTheLink: ontology matching

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SpotTheLink: ontology matching

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SpotTheLink – Data generation and results

• Align DBpedia concepts with ProtonT concepts using SKOS

• 77.84% consensual answers, 80% valid alignments

PROTON

35%

53%

12%

Game Fun

Addictive

Greate fun

Average

Fairly Boring

Boring

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SEAFISH

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SEAFish – Annotating images (1/2)

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SEAFish – Annotating images (2/2)

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SeaFish – Collected Data

• 3 Different data sets• An online survey• Feedback from Siegen, Trento • 14456 Modeling decisions • 931 Game rounds • 548 Generated annotations

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SeaFish evaluation

96% of the players understood the game’s goal.

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Tubelink

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Tubelink

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LESSONS LEARNT

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Lessons learnt• Task selection

– Not too easy nor too difficult, suitable for a broad audience, not too many game rounds (3-5)

– Simple challenges (not too many stages, etc.)– Limited space of choice– Allow fast game play

• Game fun: user interface and social factor• Compromise: usability and appealing design• It is not trivial to make an interesting user interface

– Competition and reputation• Ranking is a good motivator

– Sociability• Playing against other people is motivating• Partner!

• Knowledge corpora– Interesting domain, structure and size of the corpora

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GAMING API

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OntoGame API• API that provides several methods that are

shared by the OntoGame games, such as: – Different agreement types, e.g. Selection

Agreement– Input matching (e.g. majority)– Game modes (double player, single player) – Player reliability evaluation. – Player matching, e.g. finding the optimal partner

to play.– Resource( = data needed for games)

management.– Semantic data extraction of stored game data.

• http://insemtives.svn.sourceforge.net/viewvc/insemtives/generic-gaming-toolkit

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WWW.SEMANTICGAMES.ORG

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Summary

• Games– www.ontogame.org

• SPARQL endpoint– http://ontogame.sti2.at:8080/openrdf-workbench/repositories/onto

-game/

• Community portal– www.semanticgames.org

• Games survey– http://www.insemtives.eu/games.php

• Interlinking survey– http://www.sti-innsbruck.at/results/browse/technical-reports/detail

s/?uid=62

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References• Luis von Ahn. Games With A Purpose. IEEE Computer Magazine, June

2006. pp 96-98.• Luis von Ahn and Laura Dabbish. Designing games with a purpose.

Communications of the ACM, 2008.• 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.

• 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.

• Casual Game Association White Paper: http://www.casualgamesassociation.org

• List of games: http://www.insemtives.eu/games.php

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BACKUP

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Tasks and deliverables

• All tools are available on http://sourceforge.net/projects/insemtives/

• Information about tools is provided on http://insemtives.eu/community/tools

UNITN

SEEKDA/ONTO

UIBK

18 24 30 366 120Tasks

Task 4.1 Generic gaming toolkit

Months

D4.2.1 Human driven ‐annotation tools for Web services

D4.2.3 Human driven ‐media annotation tools

D4.1.2 Generic Gaming Toolkit and API implementation

D4.2.2 Human driven ‐annotation tools for Web services

D4.2.4 Human driven ‐media annotation tools

Work plan view

D4.1.1 Requirements and Design of a Generic Gaming Toolkit and API D4.1.3 Games

Task 4.2 Human driven ‐Annotation Tools

Task 4.3 Bootstrapping Tools D4.3.1 Bootstrapping tools

for image files

D4.3.2 Bootstrapping tools for image files

Task 4.4 Search and Navigation Tools

ONTOD4.4.1 Search and Navigation tools

D4.4.2 Search and Navigation tools

SEMANTIC GAMES

WEB SERVICE ANNOTATION CHALLENGE

BOOTSTRAPPING TOOL AND L!NKS SEMI AUTOMATIC IMAGE ANNOTATION

L!NKS MANUAL IMAGE ANNOTATION AND SEARCH