The Botari application from the LarKC project has won the Open Track of the Semantic Web Challenge.

Botari is a LarKC workflow running on servers in Seoul, plus a user frontend that runs on a Galaxy Tab.

The workflow combines open data from the city of Seoul (Open Street Map, POI’s) with twitter traffic and combines stream processing, machine learning and querying over RDF datasets and streams to give personalised restaurant information and recommendations, presented in an augmented reality interface on the Galaxy Tab.

For more info on Botari, see either the website, or the demo movie or the slide deck or the paper.

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