Approaches to the Intelligent Subject Search
This work addresses the challenge of efficient information retrieval for researchers and professionals in scientific and technical domains, but it appears incremental as it builds on existing semantic processing methods.
The authors tackled the problem of subject information search by developing automated semantic processing techniques for scientific and technical data, resulting in a system for building and qualifying search queries with filtering and ranking capabilities.
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.