Annotation: Popularity of RDF data has recently increased. It assumes information description using RDF-triplets. Users’ interaction with such data requires studying principles of working with triple stores. The complexity of dynamic querying is the main difficulty faced by contemporary scientists. A decision support system for medical institution has been created to deal with such a difficulty. It is a semantic web application that eases querying by pattern implementation. Visual queries are automatically converted into SPARQL query language for further accessing triple stores. Users obtain context with triplets according to constraints they set. A unified search interface has been developed for visual querying the triple stores.