Creation of Ontological Knowledge Bases
in the Semantic Web by Analyzing Table
Structures
Vitalina Babenko, Igor Shostak, Mariia Danova, and Olena Feoktystova
Abstract The active development of the Semantic Web initiative to create expressive
models for representing knowledge distributed on the Web in the form of ontologies
raises a number of problems associated with the development of information structures of ontological knowledge bases for automatic processing of data and knowledge.
The subject of the research is the ontological knowledge base and methods of their
formation within the framework of the Semantic Web. Moreover, various tabular
structures are considered as sources of knowledge. The problem arises as a result
of the contradiction between the wide variety of tabular structures used to organize
the content of knowledge sources in a hypermedia environment and the insufficient
efficiency of classical methods for analyzing sources of this type. In the course of
research, this problem was decomposed into a number of tasks:
• analysis of existing approaches to the formation of ontological knowledge bases
based on the sources of tabular structures;
• development of a formal model of ontological knowledge bases;
• development of a method for the formation of databases of ontological knowledge
based on targeted enumeration and its mathematical support;
• development of a formal model of the sources of knowledge of table structures;
V. Babenko (B)
International E-Commerce and Hotel and Restaurant Business Department, V.N. Karazin Kharkiv
National University, 4 Svobody Sq, Kharkiv 61022, Ukraine
e-mail: vitalinababenko@karain.ua
I. Shostak · M. Danova
Department of Software Engineering, National Aerospace University “KhAI”, 17 Chkalova
Street, Kharkiv 61070, Ukraine
e-mail: iv.shostak@gmail.com
M. Danova
e-mail: danovamariya@gmail.com
O. Feoktystova
Department of Management, National Aerospace University “KhAI”, 17 Chkalova Street,
Kharkiv 61070, Ukraine
e-mail: e.i.shostak@gmail.com
© Springer Nature Switzerland AG 2021
R. Pandey et al. (eds.), Semantic IoT: Theory and Applications, Studies in Computational
Intelligence 941, https://doi.org/10.1007/978-3-030-64619-6_9
207
in the Semantic Web by Analyzing Table
Structures
Vitalina Babenko, Igor Shostak, Mariia Danova, and Olena Feoktystova
Abstract The active development of the Semantic Web initiative to create expressive
models for representing knowledge distributed on the Web in the form of ontologies
raises a number of problems associated with the development of information structures of ontological knowledge bases for automatic processing of data and knowledge.
The subject of the research is the ontological knowledge base and methods of their
formation within the framework of the Semantic Web. Moreover, various tabular
structures are considered as sources of knowledge. The problem arises as a result
of the contradiction between the wide variety of tabular structures used to organize
the content of knowledge sources in a hypermedia environment and the insufficient
efficiency of classical methods for analyzing sources of this type. In the course of
research, this problem was decomposed into a number of tasks:
• analysis of existing approaches to the formation of ontological knowledge bases
based on the sources of tabular structures;
• development of a formal model of ontological knowledge bases;
• development of a method for the formation of databases of ontological knowledge
based on targeted enumeration and its mathematical support;
• development of a formal model of the sources of knowledge of table structures;
V. Babenko (B)
International E-Commerce and Hotel and Restaurant Business Department, V.N. Karazin Kharkiv
National University, 4 Svobody Sq, Kharkiv 61022, Ukraine
e-mail: vitalinababenko@karain.ua
I. Shostak · M. Danova
Department of Software Engineering, National Aerospace University “KhAI”, 17 Chkalova
Street, Kharkiv 61070, Ukraine
e-mail: iv.shostak@gmail.com
M. Danova
e-mail: danovamariya@gmail.com
O. Feoktystova
Department of Management, National Aerospace University “KhAI”, 17 Chkalova Street,
Kharkiv 61070, Ukraine
e-mail: e.i.shostak@gmail.com
© Springer Nature Switzerland AG 2021
R. Pandey et al. (eds.), Semantic IoT: Theory and Applications, Studies in Computational
Intelligence 941, https://doi.org/10.1007/978-3-030-64619-6_9
207