Abstract
Agricultural knowledge depends on seasonally changing conditions such as climate, harmful insects, etc. In this respect, farmers tend to be interested in seasonal knowledge rather than the static principle. To acquire such agricultural knowledge, we propose a method to acquire seasonal knowledge from ongoing posts in the social media. The experimental results shows that the agricultural knowledge can be extracted in the form of chained structures, each of which denotes a set of seasonal knowledge. We also developed a prototype of dialogue robot that provides agricultural knowledge based on the chained structure database. The characteristics of the robot is its ability to reply with seasonally changing knowledge.
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References
Ministry of Agriculture, Forestry and Fisheries. http://www.maff.go.jp/j/new_farmer/
Ministry of Agriculture, Forestry and Fisheries: Summary of the Basic Plan for Food, Agriculture and Rural Areas. http://www.maff.go.jp/e/pdf/basic_plan_2015.pdf
http://www.itmedia.co.jp/promobile/articles/1207/11/news121.html
Docomo, N.: https://www.nttdocomo.co.jp/service/information/shabette_concier/
Higashinaka, R., Kawamae, N., Sadamitsu, K., Minami, Y., Meguro, T., Dohsaka, K., Inagaki, H.: Building a conversational model from two-tweets. In: 2011 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), pp. 330–335. IEEE (2011)
Higashinaka, R., Kobayashi, N., Hirano, T., Miyazaki, C., Meguro, T., Makino, T., Matsuo, Y.: Syntactic filtering and content-based retrieval of twitter sentences for the generation of system utterances in dialogue systems. In: Proceedings of the IWSDS, pp. 113–123 (2014)
Hirafuji, M.: Application of sensor network in agriculture. Proc. TMS 2009(1), 22–28 (2009)
Inaba, M., Kamizono, S., Takahashi, K.: Candidate utterance acquisition method for non-task-oriented dialogue systems from twitter. Trans. Jpn. Soc. Artif. Intell. 29, 21–31 (2014)
Kim, Y.S., Kang, B.H., Richards, D. (eds.): Knowledge Management and Acquisition for Smart Systems and Services. Springer, Heidelberg (2014)
Uehara, H., Yoshida, K.: Annotating tv drama based on viewer dialogue - analysis of viewers’ attention generated on an internet bulletin board. In: Proceedings of the SAINT, pp. 334–340 (2005)
Uehara, H., Yoshida, K.: Acquiring marketing knowledge from internet bulletin boards. In: Richards, D., Kang, B.-H. (eds.) PKAW 2008. LNCS, vol. 5465, pp. 173–182. Springer, Heidelberg (2009)
Acknowledgment
This work was supported in part by JSPS KAKENHI Grant Number 25280114.
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Uehara, H., Yoshida, K. (2016). Acquiring Seasonal/Agricultural Knowledge from Social Media. In: Ohwada, H., Yoshida, K. (eds) Knowledge Management and Acquisition for Intelligent Systems . PKAW 2016. Lecture Notes in Computer Science(), vol 9806. Springer, Cham. https://doi.org/10.1007/978-3-319-42706-5_10
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DOI: https://doi.org/10.1007/978-3-319-42706-5_10
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