Abstract
In this paper, we introduce BOTTARI: an augmented reality application that offers personalized and location-based recommendations of Point Of Interests based on sentiment analysis with geo-semantic query and reasoning. We present a mobile recommendation platform and application working on semantic technologies (knowledge representation and query for geo-social data, and inductive and deductive stream reasoning), and the lesson learned in deploying BOTTARI in Insadong. We have been collecting and analyzing tweets for three years to rate the few hundreds of restaurants in the district. The results of our study show the commercial feasibility of BOTTARI.
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References
Barbieri, D.F., Braga, D., Ceri, S., Della Valle, E., Huang, Y., Tresp, V., Rettinger, A., Wermser, H.: Deductive and inductive stream reasoning for semantic social media analytics. IEEE Intell. Syst. 25(6), 32–41 (2010)
Della Valle, E., Ceri, S., van Harmelen, F., Fensel, D.: It’s a streaming world! reasoning upon rapidly changing information. IEEE Intell. Syst. 24(6), 83–89 (2009)
Garofalakis, M., Gehrke, J., Rastogi, R.: Data Stream Management: Processing High-Speed Data Streams. Springer-Verlag New York Inc., Secaucus (2007)
Luckham, D.C.: The power of events: an introduction to complex event processing in distributed enterprise systems. In: Bassiliades, N., Governatori, G., Paschke, A. (eds.) RuleML 2008. LNCS, vol. 5321, p. 3. Springer, Heidelberg (2008)
Barbieri, D.F., Braga, D., Ceri, S., Della Valle, E., Grossniklaus, M.: Querying rdf streams with c-sparql. SIGMOD Record 39(1), 20–26 (2010)
Balduini, M., Della Valle, E., Dell’Aglio, D., Tsytsarau, M., Palpanas, T., Confalonieri, C.: Social listening of city scale events using the streaming linked data framework. In: Alani, H., et al. (eds.) ISWC 2013, Part II. LNCS, vol. 8219, pp. 1–16. Springer, Heidelberg (2013)
Tresp, V., Huang, Y., Bundschus, M., Rettinger, A.: Materializing and querying learned knowledge. In: Proceeings of IRMLeS 2009 (2009)
Huang, Y., Tresp, V., Bundschus, M., Rettinger, A., Kriegel, H.-P.: Multivariate prediction for learning on the semantic web. In: Frasconi, P., Lisi, F.A. (eds.) ILP 2010. LNCS, vol. 6489, pp. 92–104. Springer, Heidelberg (2011)
Huang, Y., Nickel, M., Tresp, V., Kriegel, H.-P.: A scalable kernel approach to learning in semantic graphs with applications to linked data. In: Proceedings of the 1st Workshop on Mining the Future Internet (2010)
Tresp, V., Huang, Y., Jiang, X., Rettinger, A.: Graphical models for relations - modeling relational context. In: International Conference on Knowledge Discovery and Information Retrieval (2011)
Fensel, D., van Harmelen, F., Andersson, B., Brennan, P., Cunningham, H., Della Valle, E., Fischer, F., Huang, Z., Kiryakov, A., il Lee, T.K., School, L., Tresp, V., Wesner, S., Witbrock, M., Zhong, N.: Towards LarKC: a Platform for Web-scale Reasoning. In: Proceedings of the ICSC 2008 (2008)
Cheptsov, A., et al.: Large knowledge collider: a service-oriented platform for large-scale semantic reasoning. In: Proceedings of the WIMS 2011 (2011)
Lenzerini, M.: Data integration: a theoretical perspective. In: Popa, L. (Ed.): PODS, pp. 233–246. ACM (2002)
Acknowledgments
This work was partially supported by the LarKC project (FP7-215535) and Mobile Cognition and Learning project in Korea.
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Lee, T. et al. (2014). Location-Based Mobile Recommendations by Hybrid Reasoning on Social Media Streams. In: Kim, W., Ding, Y., Kim, HG. (eds) Semantic Technology. JIST 2013. Lecture Notes in Computer Science(), vol 8388. Springer, Cham. https://doi.org/10.1007/978-3-319-06826-8_20
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