Abstract
We present a tool for common sense knowledge acquisition in form of a twenty questions game. The described approach uses WordNet dictionary, which rich taxonomy allows to keep cognitive economy and accelerate knowledge propagation, although sometimes inferences made on hierarchical relations result in noise. We extend the dictionary with common sense assertions acquired during the games played with humans. The facts added to the knowledge base use eight new relation types. After 700 games played in the animals domain the average number of assertions per concept raised over 89%. Evaluation of the newly acquired facts indicates high quality of knowledge captured using proposed approach.
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References
Miller, G.A., Beckitch, R., Fellbaum, C., Gross, D., Miller, K.: Introduction to wordnet: An on-line lexical database (1993)
Lenat, D.B., Guha, R.V., Pittman, K., Pratt, D., Shepherd, M.: Cyc: toward programs with common sense. Communications of the ACM 33(8), 30–49 (1990)
Niles, I., Pease, A.: Towards a standard upper ontology, pp. 2–9. ACM Press (2001)
Speer, R., Havasi, C.: Representing general relational knowledge in conceptnet 5. In: Calzolari, N., Choukri, K., Declerck, T., Doǧan, M.U., Maegaard, B., Mariani, J., Odijk, J., Piperidis, S. (eds.) Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC 2012). European Language Resources Association (ELRA), Istanbul (May 2012)
Singh, P., Lin, T., Mueller, E.T., Lim, G., Perkins, T., Zhu, W.L.: Open mind common sense: Knowledge acquisition from the general public, pp. 1223–1237. Springer (2002)
Bizer, C., Lehmann, J., Kobilarov, G., Auer, S., Becker, C., Cyganiak, R., Hellmann, S.: Dbpedia - a crystallization point for the web of data. Web Semant. 7(3), 154–165 (2009)
von Ahn, L., Kedia, M., Blum, M.: Verbosity: a game for collecting common-sense facts. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2006, pp. 75–78. ACM, New York (2006)
von Ahn, L., Maurer, B., McMillen, C., Abraham, D., Blum, M.: reCAPTCHA: Human-Based Character Recognition via Web Security Measures. Science 321(5895), 1465–1468 (2008)
Eiben, C.B., Siegel, J.B., Bale, J.B., Cooper, S., Khatib, F., Shen, B.W., Players, F., Stoddard, B.L., Popovic, Z., Baker, D.: Increased diels-alderase activity through backbone remodeling guided by foldit players. electronically (February 2012), http://dx.doi.org/10.1038/nbt.2109
Speer, R., Havasi, C., Surana, H.: Using verbosity: Common sense data from games with a purpose (2010)
McGonigal, J.: Reality Is Broken: Why Games Make Us Better and How They Can Change the World (2011)
Riedel-Kruse, I.H., Chung, A.M., Dura, B., Hamilton, A.L., Lee, B.C.: Design, engineering and utility of biotic games. Lab Chip 11, 14–22 (2011)
von Ahn, L.: Games with a purpose. IEEE Computer Magazine 39(6), 92–94 (2006)
Herdagdelen, A., Baroni, M.: The concept game: Better commonsense knowledge extraction by combining text mining and a game with a purpose (2010)
Gerber, M.: C# API for WordNet 3.0. (2012), https://ptl.sys.virginia.edu/ptl/members/matthew-gerber/software#wordnet (accessed April 10, 2012)
Szymański, J., Duch, W.: Information retrieval with semantic memory model. Cognitive Systems Research 14, 84–100 (2012)
Rzeniewicz, J., Szymański, J., Duch, W.: Adaptive algorithm for interactive question-based search. In: Shi, Z., Leake, D., Vadera, S. (eds.) Intelligent Information Processing VI. IFIP AICT, vol. 385, pp. 186–195. Springer, Heidelberg (2012)
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Rzeniewicz, J., Szymański, J. (2013). Bringing Common Sense to WordNet with a Word Game. In: Bǎdicǎ, C., Nguyen, N.T., Brezovan, M. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2013. Lecture Notes in Computer Science(), vol 8083. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40495-5_30
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DOI: https://doi.org/10.1007/978-3-642-40495-5_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40494-8
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