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ISSN 2587-814X (print),
ISSN 2587-8158 (online)

Russian version: ISSN 1998-0663 (print),
ISSN 2587-8166 (online)

Kirill Kniazev 1, Mikhail Komarov 1
  • 1 National Research University Higher School of Economics, 20 Myasnitskaya Str., Moscow, 101000, Russian Federation

Infological models for smart commerce

2016. No. 4 (38). P. 19–26 [issue contents]

Kirill A. Kniazev - Director, Netbell LLC; Doctoral Student, Department of Innovation and Business in Information Technologies, National Research University Higher School of Economics
Address: 20, Myasnitskaya Street, Moscow, 101000, Russian Federation
E-mail: kk@netbell.ru

Mikhail M. Komarov - Associate Professor, Department of Innovation and Business in Information Technologies, National Research University Higher School of Economics
Address: 20, Myasnitskaya Street, Moscow, 101000, Russian Federation
E-mail: mkomarov@hse.ru

      In modern society, skills of working with information play a significant role. The influence of information in our everyday lives is rapidly increasing, while methods of data processing remain the same.
      Research is being directed at problems of data processing and visualization of information, which become more popular with each year. This paper describes infological models, a new method of data visualization and information processing based on technologies of information presentation, as well as on principles of semantic networks, open data and data banks.
      The technology of infological models represents a new approach to data storage and exchange which enables us to look at information processing in a new way. Based on principles of open data, semantic networks and data banks, the concept seeks to  define the set of entities and relations, based on which an independent information block is displayed as a block diagram, which is easy to understand for an average user with a computer.
      This work provides a brief overview of the information overload problem, describes the technology of infological models, its general principles and contains an application of mentioned methods in e-commerce using the example of knowledge bases, news portals, on-line shops, smart house and Internet of Things, with description of features and advantages, ending with an overall conclusion.

Citation: Kniazev K.A., Komarov M.M. (2016) Infological models for smart commerce. Business Informatics , no. 4 (38), pp. 19–26. DOI: 10.17323/1998-0663.2016.4.19.26
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