Title:	THE TECHNIQUE FOR AUTOMATED EXTRACTION OF CONTEXTUAL KNOWLEDGE FROM INFORMATION RESOURCES OF TEXT MODALITY
Author(s):	Olga Kononova, Dmitry Prokudin, and Elena Yelkina
ISBN:	978-989-8533-85-2
Editors:	Piet Kommers, Pascal Ravesteijn, Guido Ongena and Pedro Isaías
Year:	2019
Edition:	Single
Keywords:	Digital Economy, Digital Technology, Smart Technology, Contextual Knowledge Extraction, Information Resources, Contextual Search, Terminological Landscape,
Type:	Full Paper
First Page:	187
Last Page:	194
Language:	English
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Full Contents:	click to dowload
Paper Abstract:	Dynamics of social development leads to formation of various cross-disciplinary scientific directions influencing both social development and transformations of scientific research. Development of the interdisciplinary scientific directions during the digital era is connected with the level of development and uses of technologies in information society, tools and network environments of scientific work support. The purpose of the conducted research is the integrated approach creation to the analysis of a terminology database of the developing interdisciplinary research in the distributed network environment. The research has been conducted on the arrays of information received from various digital sources including scientific publications for the last 10 years and the maintenance of social and public discourse (for example, publications in Media). Results of the analysis of Russian (e-Library) and English scientific publications (Scopus, Science Direct) on the subject are presented in the offered article for the direction “Digital Economy: e-Governance and Smart Technology” for the period of 2008-2018. The relevance of the subject chosen is caused by the beginning of the Program “Digital Economy of the Russian Federation” realization which publication results in repeated interest increase in subject both from media and scientific environment. The possibility of the scientific technique application developed by the authors on the information resources of text modality is suggested in the article. The technique is based on the integrated approach (the Synthetic Method) to the selection of digital information resources, extraction and the analysis of contextual knowledge and allows specifying terminology database of the formed interdisciplinary scientific direction “Digital Economy: e-Governance and Smart Technology”. Russian-language distributed environment for scientific research T-Libra and multilingual Voyant-Tools are used as the tools for search, explication, and analysis of contexts.
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