Models and synthesis method of agent information retrieval system

Main Article Content

Oleg Kasilov
Kateryna Kramska


Existing modern information retrieval systems such as Google, Yandex, Yahoo are aimed at the average user, whose subject of the search is not specific, scientific and technological information. Therefore, the aforecited search systems cannot fully provide the necessary information for the professional user. Due to the fact that this information is reference or encyclopedic which does not correspond to the specified search. It is possible to ensure a high-quality information search and to solve the problem of information and analytical support for scientific and technological activities with the using of agent technologies. Agent technologies are initiated and controlled automatically, and also function without user’s participation, therefore they have higher productivity and the possibility of continuous operation. This article has developed the architecture of a multi-level agent information-analytical system in natural-scientific and technological areas. The authors proposed software and hardware implementations of a thematic service model for collective and personal users. Also, the article discusses the use of agent technologies in information retrieval systems for scientific and technical information. The technique of structural-parametric synthesis of such systems is proposed as well.

Article Details

How to Cite
Kasilov, O., & Kramska, K. (2020). Models and synthesis method of agent information retrieval system. Advanced Information Systems, 4(2), 94–99.
Methods of information systems synthesis
Author Biographies

Oleg Kasilov, National Technical University "Kharkiv Polytechnic Institute", Kharkiv

PhD, Associate Professor, Professor of the Information Systems Department

Kateryna Kramska, National Technical University "Kharkiv Polytechnic Institute", Kharkiv

graduate student of the department “Information Technologies and Systems of Wheel and Track Machines”


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