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SemaPlorer is an easy to use application that allows end users to interactively explore and visualize a very large, mixed-quality and semantically heterogeneous distributed semantic data set in real-time. Its purpose is to acquaint oneself about a city, touristic area, or other area a user is interested in. By visualizing the data using a map, media, and different context views, SemaPlorer advances beyond simple storage and retrieval of large numbers of triples, as the interaction with the large data set is driven by the user. SemaPlorer leverages different semantic data sources such as DBpedia, GeoNames, WordNet, and personal FOAF files. These make a significant portion of the data provided for the Billion Triple Challenge. SemaPlorer intriguingly connects with a large Flickr data set converted to RDF. The storage infrastructure bases on Amazon’s Elastic Computing Cloud (EC2) and Simple Storage Service. We apply …