Iegorov S. Models, methods and information technology for semantic compression of textual information

Object of research - process of semantic compression for textual information. Purpose of research - development of new, scientifically-based methods, models and information technology of semantic compression for textual information. Thesis is devoted to development of models, methods and information technology for semantic compression of textual information. Developed model for semantic compression of textual information provides implementation of controllable semantic compression of texts of any volume and results evaluation. Developed method for semantic text compression with given ratio allows to carry on managed compression of texts, create annotations of given volume and control semantic retaining level of initial text. Improved method for information retrieval, which allows to increase query processing speed, effectively improve user experience and grant new possibilities in information retrieval to user. Further developed density-based clustering method for textual information allows to accomplish automatic clusterization of textual information in data warehouses and increase processing precision. Information technology was created on top of suggested models and methods and implemented as specialized automated system.