research-article

RISQ! Renowned Individuals Semantic Quiz: a Jeopardy like quiz game for ranking facts

Authors:

Lina Wolf,

Magnus Knuth,

Johannes Osterhoff,

Harald SackAuthors Info & Claims

I-Semantics '11: Proceedings of the 7th International Conference on Semantic Systems

Pages 71 - 78

https://doi.org/10.1145/2063518.2063528

Published: 07 September 2011 Publication History

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Abstract

In 2011 the IBM Computer Watson was beating its human opponents in the American TV quiz show Jeopardy!. However, the questions for the quiz have been developed by a team of human authors. Authoring questions is a difficult task, because in a Jeopardy! game the questions should be neither too easy nor too hard and should fit the general scope of knowledge of the audience and players. Linked Open Data (LOD) provides huge amounts of information that is growing daily. Yet, there is no ranking that determines the importance of LOD facts, as e. g. by querying LOD for movies starring a distinct actor provides numerous answers, whereas it cannot be answered, which of the movies was the most important for this actor. To rank search results for semantic search various heuristics have been developed to cope with the problem of missing rank in the semantic web. This paper proposes a Jeopardy! like quiz game with questions automatically generated from LOD facts to gather ranking information for persons to provide a basis for the evaluation of semantic ranking heuristics.

References

[1]

S. Auer, C. Bizer, G. Kobilarov, J. Lehmann, R. Cyganiak, and Z. Ives. DBpedia: A Nucleus for a Web of Open Data. In Proceedings of 6th International Semantic Web Conference, 2nd Asian Semantic Web Conference (ISWC+ASWC 2007), volume 4825 of Lecture Notes in Computer Science, chapter 52, pages 722--735. Springer Berlin/Heidelberg, Berlin, Heidelberg, Nov. 2007.

Digital Library

Google Scholar

[2]

D. Ferrucci. Building Watson: An Overview of the DeepQA project. In V. Salapura, M. Gschwind, and J. Knoop, editors, PACT, pages 1--2. ACM, 2010.

Digital Library

Google Scholar

[3]

Y.-l. Kuo, J.-C. Lee, K.-y. Chiang, R. Wang, E. Shen, C.-w. Chan, and J. Y.-j. Hsu. Community-based game design: experiments on social games for commonsense data collections. In Proceedings of the ACM SIGKDD Workshop on Human Computation, HCOMP '09, pages 15--22, New York, NY, USA, 2009. ACM.

Digital Library

Google Scholar

[4]

T. Markotschi and J. Völker. Guesswhat?! -- human intelligence for mining linked data. In Proceedings of the Workshop on Knowledge Injection into and Extraction from Linked Data (KIELD) at the International Conference on Knowledge Engineering and Knowledge Management (EKAW), 2010.

Google Scholar

[5]

R. Mirizzi, A. Ragone, T. D. Noia, and E. D. Sciascio. Ranking the Linked Data: The Case of DBpedia. In B. Benatallah, F. Casati, G. Kappel, and G. Rossi, editors, ICWE, volume 6189 of Lecture Notes in Computer Science, pages 337--354. Springer, 2010.

Digital Library

Google Scholar

[6]

K. Siorpaes. OntoGame: games with a purpose for the semantic web. ESWC 2008 Ph. D. Symposium, 2007.

Google Scholar

[7]

K. Siorpaes and M. Hepp. Ontogame: Weaving the semantic web by online gaming. In M. Hauswirth, M. Koubarakis, and S. Bechhofer, editors, Proceedings of the 5th European Semantic Web Conference, LNCS, Berlin, Heidelberg, June 2008. Springer Verlag.

Digital Library

Google Scholar

[8]

N. Toupikov, J. Umbrich, R. Delbru, M. Hausenblas, and G. Tummarello. DING! Dataset Ranking using Formal Descriptions. In WWW 2009 Workshop: Linked Data on the Web (LDOW2009), 2009.

Google Scholar

[9]

L. von Ahn. Games with a purpose. IEEE Computer Magazine, 39(6):92--94, 2006.

Digital Library

Google Scholar

[10]

L. von Ahn and L. Dabbish. Labeling images with a computer game. In Proceedings of the 2004 Conference on Human Factors in Computing Systems, CHI 2004, Vienna, Austria, April 24--29, 2004, pages 319--326, 2004.

Digital Library

Google Scholar

[11]

L. von Ahn, S. Ginosar, M. Kedia, R. Liu, and M. Blum. Improving accessibility of the web with a computer game. In R. E. Grinter, T. Rodden, P. M. Aoki, E. Cutrell, R. Jeffries, and G. M. Olson, editors, CHI, pages 79--82. ACM, 2006.

Digital Library

Google Scholar

[12]

L. von Ahn, R. Liu, and M. Blum. Peekaboom: a game for locating objects in images. In CHI '06: Proceedings of the SIGCHI conference on Human Factors in computing systems, pages 55--64, New York, NY, USA, 2006. ACM Press.

Digital Library

Google Scholar

[13]

J. Waitelonis and H. Sack. Towards exploratory video search using linked data. Multimedia Tools and Applications, pages 1--28, 2011. 10.1007/s11042-011-0733-1.

Digital Library

Google Scholar

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GÖRZEN T(2020)“WHAT’S THE POINT OF THE TASK?” EXPLORING THE INFLUENCE OF TASK MEANING ON CREATIVITY IN CROWDSOURCINGInternational Journal of Innovation Management10.1142/S1363919621500079(2150007)Online publication date: 16-Mar-2020
https://doi.org/10.1142/S1363919621500079
Sarinho VAzevedo GBoaventura F(2018)Providing an IM Cross-Platform Game Engine for Text-Messaging Games2018 17th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames)10.1109/SBGAMES.2018.00033(212-2128)Online publication date: Oct-2018
https://doi.org/10.1109/SBGAMES.2018.00033
Wohlgenannt GSabou MHanika F(2016)Crowd-based ontology engineering with the uComp Protégé pluginSemantic Web10.3233/SW-1501817:4(379-398)Online publication date: 27-May-2016
https://doi.org/10.3233/SW-150181
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RISQ! Renowned Individuals Semantic Quiz: a Jeopardy like quiz game for ranking facts

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Published In

I-Semantics '11: Proceedings of the 7th International Conference on Semantic Systems

September 2011

129 pages

ISBN:9781450306218

DOI:10.1145/2063518

Editors:
Chiara Ghidini
Bruno Kessler Foundation - Italy
,
Axel-Cyrille Ngonga Ngomo
University of Leipzig - Germany
,
Stefanie Lindstaedt
Know Center Graz - Austria
,
Tassilo Pellegrini
Semantic Web Company, Austria

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 September 2011

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I-Semantics '11

I-Semantics '11: 7th International Conference on Semantic Systems

September 7 - 9, 2011

Graz, Austria

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Overall Acceptance Rate 40 of 182 submissions, 22%

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GÖRZEN T(2020)“WHAT’S THE POINT OF THE TASK?” EXPLORING THE INFLUENCE OF TASK MEANING ON CREATIVITY IN CROWDSOURCINGInternational Journal of Innovation Management10.1142/S1363919621500079(2150007)Online publication date: 16-Mar-2020
https://doi.org/10.1142/S1363919621500079
Sarinho VAzevedo GBoaventura F(2018)Providing an IM Cross-Platform Game Engine for Text-Messaging Games2018 17th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames)10.1109/SBGAMES.2018.00033(212-2128)Online publication date: Oct-2018
https://doi.org/10.1109/SBGAMES.2018.00033
Wohlgenannt GSabou MHanika F(2016)Crowd-based ontology engineering with the uComp Protégé pluginSemantic Web10.3233/SW-1501817:4(379-398)Online publication date: 27-May-2016
https://doi.org/10.3233/SW-150181
Lin CLiu DPang WApeh EBarker KGómez-Pérez J(2015)Automatically Predicting Quiz Difficulty Level Using Similarity MeasuresProceedings of the 8th International Conference on Knowledge Capture10.1145/2815833.2815842(1-8)Online publication date: 7-Oct-2015
https://dl.acm.org/doi/10.1145/2815833.2815842
Lin CLiu DPang WWang Z(2015)Sherlock: A Semi-automatic Framework for Quiz Generation Using a Hybrid Semantic Similarity MeasureCognitive Computation10.1007/s12559-015-9347-77:6(667-679)Online publication date: 4-Aug-2015
https://doi.org/10.1007/s12559-015-9347-7
Hanika FWohlgenannt GSabou M(2014)The uComp Protégé Plugin: Crowdsourcing Enabled Ontology EngineeringKnowledge Engineering and Knowledge Management10.1007/978-3-319-13704-9_14(181-196)Online publication date: 2014
https://doi.org/10.1007/978-3-319-13704-9_14
Sabou MScharl AFöls M(2013)Crowdsourced Knowledge AcquisitionInternational Journal on Semantic Web and Information Systems10.4018/ijswis.20130701029:3(14-41)Online publication date: Jul-2013
https://doi.org/10.4018/ijswis.2013070102
Sabou MBontcheva KScharl AFöls M(2013)Games with a Purpose or Mechanised Labour?Proceedings of the 13th International Conference on Knowledge Management and Knowledge Technologies10.1145/2494188.2494210(1-8)Online publication date: 4-Sep-2013
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Damljanovic DMiller DO'Sullivan DSchwabe DAlmeida VGlaser HBaeza-Yates RMoon S(2013)Learning from quizzes using intelligent learning companionsProceedings of the 22nd International Conference on World Wide Web10.1145/2487788.2487960(435-438)Online publication date: 13-May-2013
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Hees JKhamis MBiedert RAbdennadher SDengel A(2013)Collecting Links between Entities Ranked by Human Association StrengthsThe Semantic Web: Semantics and Big Data10.1007/978-3-642-38288-8_35(517-531)Online publication date: 2013
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