An environmental search engine based on interactive visual classification

Environmental conditions play a very important role in human life. Nowadays, environmental data and measurements are freely made available through dedicated web sites, services and portals. This work deals with the problem of discovering such web resources by proposing an interactive domain-specific search engine, which is built on top of a general purpose search engine, employing supervised machine learning and advanced interactive visualization techniques. Our experiments and the evaluation show that interactive classification based on visualization improves the performance of the system.