Intellectual Analysis of Textual Information in Domain Fields in the System of e-Government
The given paper considers application of data mining technology in scientific research as one of intellectual analysis methods in the domain field of e-Government. The topicality of the issue is stipulated by the current absence of the researches of the kind in the Republic of Belarus. The paper ill...
Main Author: | |
---|---|
Format: | Article |
Language: | Russian |
Published: |
Establishment «The Main Information and Analytical Center of the Ministry of Education of the Republic of Belarus»
2019-08-01
|
Series: | Цифровая трансформация |
Subjects: | |
Online Access: | https://dt.giac.by/jour/article/view/172 |
id |
doaj-b28f0f63dca5421da86c3d5e7f6403d6 |
---|---|
record_format |
Article |
spelling |
doaj-b28f0f63dca5421da86c3d5e7f6403d62021-07-28T16:20:21ZrusEstablishment «The Main Information and Analytical Center of the Ministry of Education of the Republic of Belarus»Цифровая трансформация2522-96132524-28222019-08-0102465210.38086/2522-9613-2019-2-46-5293Intellectual Analysis of Textual Information in Domain Fields in the System of e-GovernmentT. I. Makarevich0Belarusian State University; Academy of Public Administration under the aegis of the President of the Republic of BelaruThe given paper considers application of data mining technology in scientific research as one of intellectual analysis methods in the domain field of e-Government. The topicality of the issue is stipulated by the current absence of the researches of the kind in the Republic of Belarus. The paper illustrates how the programme package Rapid Miner and the language R have been applied in text mining. Concept indexing has been admitted as the most resultative form of analyzing domain field ontologies. Formal and linguistic approaches are found most effective in analyzing domain field ontologies. The paper identifies the problems of word redundancy and word polysemy. The prognosis for the further research investigation is in interconnectivity of specialized ontologies studying heterogeneous terms on the basis of artificial intelligence (AI).https://dt.giac.by/jour/article/view/172terminilogical systemspecialized dictionariesinformation retrieval thesaurusontologydomain areatext information processinganalysis in the frequency domaintext miningthe computer language rrapid minere-government |
collection |
DOAJ |
language |
Russian |
format |
Article |
sources |
DOAJ |
author |
T. I. Makarevich |
spellingShingle |
T. I. Makarevich Intellectual Analysis of Textual Information in Domain Fields in the System of e-Government Цифровая трансформация terminilogical system specialized dictionaries information retrieval thesaurus ontology domain area text information processing analysis in the frequency domain text mining the computer language r rapid miner e-government |
author_facet |
T. I. Makarevich |
author_sort |
T. I. Makarevich |
title |
Intellectual Analysis of Textual Information in Domain Fields in the System of e-Government |
title_short |
Intellectual Analysis of Textual Information in Domain Fields in the System of e-Government |
title_full |
Intellectual Analysis of Textual Information in Domain Fields in the System of e-Government |
title_fullStr |
Intellectual Analysis of Textual Information in Domain Fields in the System of e-Government |
title_full_unstemmed |
Intellectual Analysis of Textual Information in Domain Fields in the System of e-Government |
title_sort |
intellectual analysis of textual information in domain fields in the system of e-government |
publisher |
Establishment «The Main Information and Analytical Center of the Ministry of Education of the Republic of Belarus» |
series |
Цифровая трансформация |
issn |
2522-9613 2524-2822 |
publishDate |
2019-08-01 |
description |
The given paper considers application of data mining technology in scientific research as one of intellectual analysis methods in the domain field of e-Government. The topicality of the issue is stipulated by the current absence of the researches of the kind in the Republic of Belarus. The paper illustrates how the programme package Rapid Miner and the language R have been applied in text mining. Concept indexing has been admitted as the most resultative form of analyzing domain field ontologies. Formal and linguistic approaches are found most effective in analyzing domain field ontologies. The paper identifies the problems of word redundancy and word polysemy. The prognosis for the further research investigation is in interconnectivity of specialized ontologies studying heterogeneous terms on the basis of artificial intelligence (AI). |
topic |
terminilogical system specialized dictionaries information retrieval thesaurus ontology domain area text information processing analysis in the frequency domain text mining the computer language r rapid miner e-government |
url |
https://dt.giac.by/jour/article/view/172 |
work_keys_str_mv |
AT timakarevich intellectualanalysisoftextualinformationindomainfieldsinthesystemofegovernment |
_version_ |
1721267552759316480 |