BOTTARI  is an augmented reality application that permits the personalized and localized recommendation of points of interest (POIs) based on the temporally-weighted opinions of the community. The technological basis of BOTTARI is the highly scalable LarKC platform  for the rapid prototyping and development of Semantic Web applications. In particular, BOTTARI exploits LarKC’s deductive and inductive stream reasoning . BOTTARI was evaluated on a three year collection of tweets about 319 restaurants located in the 2 km2 district of Insadong, a popular tourist area of the South Korean city of Seoul.
Figure above illustrates four screenshots of the BOTTARI Android application: the AR interface with the four types of recommendations and the possibility to filter by distance is shown in (a); further details about a selected POI are shown in (b) and (c) where the similar restaurants and the map with the POI description are visualized, respectively; finally, the trend over time of user opinions about the POI are graphically drawn in (d).
BOTTARI is the winner of the 9th edition of the Semantic Web Challenge, co-located with the 2011 International Semantic Web Conference. BOTTARI is currently field tested in Korea by Saltlux.
For more information:
 Marco Balduini, Irene Celino, Daniele Dell’Aglio, Emanuele Della Valle, Yi Huang, Tony Kyung-il Lee, Seon-Ho Kim, Volker Tresp: BOTTARI: An augmented reality mobile application to deliver personalized and location-based recommendations by continuous analysis of social media streams. J. Web Sem. 16: 33-41 (2012). http://dx.doi.org/10.1016/j.websem.2012.06.004
 Dieter Fensel, Frank van Harmelen, Bo Andersson, Paul Brennan, Hamish Cunningham, Emanuele Della Valle, Florian Fischer, Zhisheng Huang, Atanas Kiryakov, Tony Kyung-il Lee, Lael Schooler, Volker Tresp, Stefan Wesner, Michael Witbrock, Ning Zhong: Towards LarKC: A Platform for Web-Scale Reasoning. ICSC 2008: 524-529. http://doi.ieeecomputersociety.org/10.1109/ICSC.2008.41
 Davide Francesco Barbieri, Daniele Braga, Stefano Ceri, Emanuele Della Valle, Yi Huang, Volker Tresp, Achim Rettinger, Hendrik Wermser: Deductive and Inductive Stream Reasoning for Semantic Social Media Analytics. IEEE Intelligent Systems 25(6): 32-41 (2010). http://doi.ieeecomputersociety.org/10.1109/MIS.2010.142