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

Abstract

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).

Keywords

• 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