Abstract
When faced with complex situations, it can often be hard to put into words and accurately express it appropriately. This becomes increasingly difficult when specialist expressions are required that are not used in everyday language. The problem is faced when trying to express in words to another person the wine that you just drank, or a wine that you want to drink to a waiter at a restaurant or shop assistant. It requires the expression in words of numerous senses including complex flavors, smells, colors, and personal emotion that is felt. These expressions are often subjective, with different people having using different expressions for the same wine. In this paper, we propose the use of wine related expressions collected from the internet and clustered to generate mind maps.
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Alencar, A.B., De Oliveira, M.C.F., Paulovich, F.V.: Seeing beyond reading: A survey on visual text analytics, Wiley Interdisciplinary Reviews. Data Mining and Knowledge Discovery 2(6), 476–492 (2012)
Caballero, R.: Manner-of-motion verbs in wine description. Journal of Pragmatics 39(12), 2095–2114 (2007)
Egusa, Y., Saito, H., Takaku, M., Terai, H., Miwa, M., Kando, N.: Using a concept map to evaluate exploratory search. In: Proceedings of 3rd Symposium on Information Interaction in Context, pp. 175–184 (2010)
Flanagan, B., Yin, C., Inokuchi, Y., Hirokawa, S.: Supporting Foreign Language Learning Using Mind-Maps. Journal of Information and Systems in Education 12(1), 13–18 (2013)
Hearst, M.A.: Search User Interfaces. Cambridge University Press (2009)
Kerren, A., Prangova, M., Paradis, C.: Visualization of sensory perception descriptions. In: Proceedings of the International Conference on Information Visualization, pp. 135–144 (2011)
Lau, R.Y., Song, D., Li, Y., Cheung, T.C., Hao, J.X.: Toward a fuzzy domain ontology extraction method for adaptive e-learning. IEEE Transactions on Knowledge and Data Engineering 21(6), 800–813 (2009)
Miwa, M., Egusa, Y., Saito, H., Takaku, M., Terai, H., Kando, N.: A method to capture information encountering embedded in exploratory Web searches. Information Research 16(3) (2011)
Paradis, C.: This beauty should drink well for 10-12 years A note on recommendations as semantic middles. Text and Talk 29(1), 53–73 (2009)
Paradis, C., Eeg-Olofsson, M.: Describing Sensory Experience: The Genre of Wine Reviews. Metaphor and Symbol 28(1), 22–40 (2013)
Pérez-MarÃn, D., Alfonseca, E., RodrÃguez, P., Pascual-Nieto, I.: Automatic Generation of Students’ Conceptual Models from Answers in Plain Text. In: Conati, C., McCoy, K., Paliouras, G. (eds.) UM 2007. LNCS (LNAI), vol. 4511, pp. 329–333. Springer, Heidelberg (2007)
Quandt, R.E.: On Wine Bullshit: Some New Software? Journal of Wine Economics 2(2), 127–135 (2007)
Saito, H., Egusa, Y., Takaku, M., Miwa, M., Kando, N.: Using Concept Map to Evaluate Learning by Searching. In: Proceedings of the 34th Annual Meeting of the Cognitive Science Society (2012)
Salton, G., McGill, M.J.: Introduction to Modern Information Retrieval. McGraw-Hill (1983)
Searle, R.: The Illustrated Winespeak: Ronald Searle’s Wicked World of Winetasting. Souvenir Pr Ltd. (1983)
Selinker, L.: Interlanguage. IRAL-International Review of Applied Linguistics in Language Teaching 10(1-4), 209–232 (1972)
Zouaq, A., Nkambou, R.: Evaluating the generation of domain ontologies in the knowledge puzzle project. IEEE Transactions on Knowledge and Data Engineering 21(11), 1559–1572 (2009)
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Hirokawa, S., Flanagan, B., Suzuki, T., Yin, C. (2014). Learning Winespeak from Mind Map of Wine Blogs. In: Yamamoto, S. (eds) Human Interface and the Management of Information. Information and Knowledge in Applications and Services. HIMI 2014. Lecture Notes in Computer Science, vol 8522. Springer, Cham. https://doi.org/10.1007/978-3-319-07863-2_37
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DOI: https://doi.org/10.1007/978-3-319-07863-2_37
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