Agent Technologies for Polythematic Organizations Information-Analytical Support☆

https://doi.org/10.1016/j.procs.2016.07.445Get rights and content
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Abstract

Large scientific organizations, laboratories, departments and scientific groups exercise need in information support due to issues related to the navigation among huge amount of information in the Internet that is growing every day. This paper describes agent-based approach that is used in Multi-agent information and analytical system (MIAS) developed at the National Research Nuclear University “MEPhI” and addressed challenges in the information support that was encountered by our partners: the “Plasma Physics” Department, Department of “Laser physics”, laboratory “Photonics” and others. The MIAS support of object-oriented approach and international standards of linked data contributes to the development of future information systems that will enable forecasting on specific scientific field.

Keywords

agent
multi-agent system
Big Data
Data mining
retrieval system
information and analytical system

Cited by (0)

☆

Selection and peer-review under responsibility of the Scientific Programme Committee of BICA 2016.

1

The automation of agent-based search for information on thematic area in the Internet task statement

2

Agents’ functions classification within the system and development of agent search algorithms

3

Scenarios of information and analytical service development

4

Automative retrieval of subordinate infromation from news messages algorithm development

5

Development of operational maps for situational analysis in various scientific and technological areas

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Development of scientific data visualization tools

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Development of the Russian and English thematic thesauruses for agent-based information retrieval

© 2016 The Author(s). Published by Elsevier B.V.