Information Society: Analyzing Problems and Prospects of Using Information Technologies, Computers and Communication Networks
Journal Title: Webology - Year 2019, Vol 16, Issue 1
Abstract
The study is devoted to actual issues of using information technologies, computers and communication networks by the Russian citizens and companies. World experience shows that the competitiveness of the national economy is directly related to the development of information technologies, being the driver of social and economic growth. The purpose of the research is to analyze the problems and prospects that form the information society in Russia. All the collected information was analyzed and synthesized, which is one of the currently progressive methods of scientific cognition. The article reveals how effectively the population uses information technology, the forecasting of the main research indicators is carried out and the prospects for their development are determined. The study provided a comprehensive assessment of the national potential in the field of information and communication technologies, and also made it possible to identify certain problems and factors constraining the development of the information society. The obtained results can be useful in activities aimed at the further development of the information society and involving the population in the use of new forms of interaction.
Authors and Affiliations
Elena M. Votinova and Maksim V. Votinov
Editorial Science Popularization through Open Access
The science plays a crucial role in the modern society, and the popularization of science in its electronic form is closely related to the rise and development of the World Wide Web. Since 1990s -the introduction of the...
Method for Ontology Content and Structure Optimization, Provided by a Weighted Conceptual Graph
The complex dynamic structure of the ontology and its content requires implementing of optimization procedures to better ontology processing performance and resolve conflicts between data. This paper addresses the issues...
An Algorithm for Classification, Localization and Selection of Informative Features in the Space of Politypic Data
Dimensionality reduction and feature subset selection are very important and challenging issues in preliminary processing of the large amount of data for its intellectual analysis, pattern recognition and clustering. In...
Designing a Predictive Analytics Solution for Evaluating the Scientific Trends in Information Systems Domain
Full-text articles are mostly provided in electronic formats, but it still remains a challenge to find deeply related works beyond the keywords and abstract contexts. Identification of related scientific articles based o...
The human side of reference and information services in academic libraries: Adding value in the digital world
The application of digital technologies in libraries has mainly led to disintermediation which means, no mediation, serve yourself to information.