  This article presents main results of the pilot study of approaches to the
subject information search based on automated semantic processing of mass
scientific and technical data. The authors focus on technology of building and
qualification of search queries with the following filtering and ranking of
search data. Software architecture, specific features of subject search and
research results application are considered.
