ISSN 2079-3537      

 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                                                                                             
Scientific Visualization
Issue Year: 2017
Quarter: 4
Volume: 9
Number: 5
Pages: 54 - 58
Article Name: VISUALIZATION OF LARGE SAMPLES OF UNSTRUCTURED INFORMATION ON THE BASIS OF SPECIALIZED THESAURUSES
Authors: B.N. Onykiy (Russian Federation), A.A. Artamonov (Russian Federation), E.S. Tretyakov (Russian Federation), K.V. Ionkina (Russian Federation)
The paper is recommended by program committee of International Conference «Visual Analytics»
Address: B.N. Onykiy
orcid.org/0000-0003-2560-1761
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Moscow, Russian Federation

A.A. Artamonov
orcid.org/0000-0002-9140-5526
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Moscow, Russian Federation

E.S. Tretyakov
orcid.org/0000-0002-1051-8562
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Moscow, Russian Federation

K.V. Ionkina
orcid.org/0000-0001-6850-2443
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Moscow, Russian Federation
Abstract: The database on “Nuclear materials and Advanced nuclear reactors” development stages are described in this paper. The database comprises items from various information sources of structured and unstructured types. The approach of received data visualisation development as an unoriented graph was conducted in order to analyze the volume, structure, and particular cases of the data obtained. This method enables user to navigate between graph’s nodes through its edges in order to reveal unavowed relations between database items.
Language: English
DOI: http://doi.org/10.26583/sv.9.5.04


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