• Mykola Fisun
  • Mykhailo Dvoretskyi
  • Hlib Horban
  • Myroslav Komar



set, knowledge management system, queries, transaction, knowledge, databases, support number, associative rules, moving-average algorithm, feedback, motivation, information.


This research is devoted to the problems of searching information in knowledge management system of some company using keywords and categories list. Authors analyzed different approaches to data storage in management systems and several existing KM systems were considered. The necessity of knowledge presenting in simple and understandable form was mentioned, but also the structuring system requirements and self-learning ability was underscored. Authors suggested using request history with categories and keywords analytics to realize the system ability to change keywords (and categories) weight coefficients. It allows the system to be self-learning using user activity results. Associative rules search task was implemented as well. This analysis makes it possible to find keywords bonds inside user requests content, and helps to increase the time of requested knowledge extracting. Besides, the analysis of the user requests statistics helps to determine individuals, who are in charge for filling the system with new materials, which can be helpful for motivational goals.


O. I. Larichev, A. V. Petrovskiy, “Decision support systems. The current state and prospects for their development,” Works of science and technology. Series: Technical Cybernetics, vol. 21, Moscow: VINITI, 1987, p. 131-164. (in Russian).

A. N. Tikhonov, V.Y. Tsvetkov, Methods and Systems of Decision Support, Moscow: MAX Press, 2001, 312 p. (in Russian).

F. Hayes-Roth, N. Jacobstein, “The state of enowledge-based systems,” Communications of the АСМ, vol. 37, no. 3, рр. 27-39, March 1994.

Y. Krainyk, V. Perov, M. Musiyenko, Y. Davydenko, “Hardware-oriented turbo-product codes decoder architecture,” Proceedings of the 2017 IEEE 9th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS’2017, vol. 1, pp. 151-154.

M.P. Musiyenko, I.M. Zhuravska, I.V. Kulakovska, A.V. Kulakovska, “Simulation the behavior of robot sub-swarm in spatial corridors,” Proceedings of the 2016 IEEE 36th International Conference on Electronics and Nanotechnology (ELNANO), Ukraine, Apr 19-21, 2016, pp. 382-387.

M. Fisun, A. Shved, Yu. Nezdoliy, and Ye. Davydenko, “The experience in the application of information technologies for teaching of disabled students,” Proceedings of the 8th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS’2015), Warsaw, Poland, September 2015, pp. 935-939.

N.B. Paklin, and V.I. Oreshkov, Business Intelligence: from Data to Knowledge, 2nd Edition. St. Peter, RF: Peter Publ, 2010. (in Russian).

M. Fisun, M. Dvoretskyi, A. Shved, Y. Davydenko, “Query parsing in order to optimize distributed DB structure,” Proceedings of the 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS’2017, 2017, vol. 1, pp. 172-178.

M. Fisun, M. Dvoretskyi, H. Horban, “The usage of the feedback with user activities in company knowledge management system,” Proceedings of the IEEE International Conference on Computer Science and Information Technologies CSIT’2017, Lviv, 2017, vol. 1, pp. 143-146.

Coredge Software launches version 2.0 of powerful knowledge preview tool [Online]. Available:

Inside the Lotus Discovery Server [Online]. Available:

A. Trunov, “Realization of the paradigm of prescribed control of a nonlinear object as the problem on maximization of adequacy,” Eastern-European Journal of Enterprise Technologies, no. 4(82), pp. 50-58, 2016.

Inxight SmartDiscovery Sets New Standard for Enterprise Information Retrieval [Online]. Available:

Livelink and Livelink Server [Online]. Available:

A.-V. Sheyer, “ARIS tools. Methods. Version 4.1,” Vest MetaTechnology, 2000. (in Russian).

A.-V. Sheyer, Business Processes. Basic Concepts. Theory. Methods, Second edition, Vest MetaTechnology, 1999. (in Russian).

H. Garcia-Molina, J.D. Ullman, and J. Widom, Database Systems: The Complete Book, Upper Saddle River, New Jersey: Prentice Hall, 2002. (in Russian).

Integration Definition for Function Modeling (IDEF0). Draft Federal Information Processing Standards, Publication 183, 21 December 1993.

T.A. Zaiko, A.A. Oleinik, and S.A. Subbotin, “Association rules in data mining,” Visnyk of the NTU “KhPI”. Series: Information and Modeling, vol. 39(1012), pp. 82-96, 2013. (in Russian).

A. A. Barsegyan, M. S. Kupriyanov, V. V. Stepanenko, I. I. Holod, Methods and Models of Data Analysis: OLAP and Data Mining, St. Petersburg: BHV-Petersburg, 2004, 336 p. (in Russian).

S. A. Nesterov, Databases. Intelligent Data Analysis: tutorial, St. Petersburg: Publishing house of Polytechnic University, 2011, 272 p. (in Russian).

M. Dvoretskyi, Y. Davydenko, “Creating the structure of DDB based on SQL-queries pasring results,” Science works “MNU named by P.Mohyla”. Series: Computer technologies, vol. 287, issue 275, pp. 53-61, 2016. (in Ukrainian).




How to Cite

Fisun, M., Dvoretskyi, M., Horban, H., & Komar, M. (2019). KNOWLEDGE MANAGEMENT APPLICATIONS BASED ON USER ACTIVITIES FEEDBACK. International Journal of Computing, 18(1), 32-44.