Approaches to the Intelligent Subject Search
Vladimir Ivanov, Boris Palyukh, Alexander Sotnikov
DOI: http://dx.doi.org/10.15439/2014F70
Citation: Position Papers of the 2014 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 3, pages 13–20 (2014)
Abstract. 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.