Intellectual Analysis of Textual Information in Domain Fields in the System of e-Government

Autor:	T. I. Makarevich
Jazyk:	ruština
Rok vydání:	2019
Předmět:	терминологическая система специализированные терминологические словари информационно-поисковый тезаурус онтология предметная область обработка текстовой информации частотный анализ глубинный анализ текста язык r rapid miner электронное правительство Information technology T58.5-58.64
Zdroj:	Цифровая трансформация, Vol 0, Iss 2, Pp 46-52 (2019)
Druh dokumentu:	article
ISSN:	2522-9613 2524-2822
DOI:	10.38086/2522-9613-2019-2-46-52
Popis:	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).
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/b28f0f63dca5421da86c3d5e7f6403d6 Zobrazit plný text záznamu View record in DOAJ