Location-based services are influencing our lives and the way we experience the surrounding environment; smart phone and tablet applications supply a huge amount of information: shops around us, traffic conditions, etc. A recent trend in this kind of services is to provide personalized information, such as friends' position or events users could be interested in. In this paper we present BOTTARI, an Android application that exploits social media and context to provide point of interest (POI) recommendations to user in a specific geographic location. BOTTARI exploits a number of semantic techniques (sentiment analysis, inductive reasoning, stream reasoning) for social media analysis and suggests POIs on the basis of users' tastes and influencing people's opinion.