Please use this identifier to cite or link to this item: http://eadnurt.diit.edu.ua/jspui/handle/123456789/14717
Title: Conceptualization of the Tabular Representation of Knowledge
Authors: Shynkarenko, Viktor I.
Zhuchyi, Larysa
Ivanov, Oleksandr
Keywords: concept
ontology
relation
table
conceptualization
КІТ
Issue Date: 2021
Publisher: IEEE
Citation: Shynkarenko V., Zhuchyi L., Ivanov O. Conceptualization of the Tabular Representation of Knowledge. International Scientific and Technical Conference on Computer Sciences and Information Technologies. Vol. 2 : 16th IEEE International Conference on Computer Science and Information Technologies (CSIT 2021), Lviv, 22–25 September 2021. P. 248–251. DOI: 10.1109/CSIT52700.2021.9648761.
Abstract: ENG: Tabular representation is used as a basis for knowledge extraction. The structure of knowledge is built from a generalized concept to data structures that are used in applied software. The resulting formalizations allow for control of information in the form of natural language texts (regulatory documents), databases and spreadsheets of automated transport systems. The knowledge extracted from the tabular representation serves as the basis for decision-making and data mining.
Description: V. Shynkarenko: ORCID 0000-0001-8738-7225, L. Zhuchyi: ORCID 0000-0002-9209-7262 O. Ivanov: ORCID 0000-0003-1259-6377
URI: http://eadnurt.diit.edu.ua/jspui/handle/123456789/14717
https://ieeexplore.ieee.org/document/9648761/references#references
Other Identifiers: DOI: 10.1109/CSIT52700.2021.9648761
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