Creation of Ontological Knowledge Bases in the Semantic Web …
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knowledge distributed over the Web in the form of ontologies, which are sets of
explicit specifications for object-domain-related (ODR) relationships for organizing
automatic processing of data and knowledge. Within the framework of the Semantic
Web, ontologies, together with the instances of their constituent objects, form the
ontological knowledge base (OKB) [2–5].
As one of the main sources of knowledge for the Semantic Web, various types
of data sets are organized using tabular structures, the analysis of which can add
additional knowledge about the ODR,—sources of knowledge of tabular structures
(SKTS) widely used in Intranet/Internet environments. However, the wide variety
of tabular structures used to organize the content of sources constitutes a serious
obstacle to the effective application of classical methods for analyzing sources of
this type to create ODR objects, their instances, and the formation of OKB on their
basis. In addition, the orientation of existing projects and means of forming the OKB
towards the manual input of knowledge about ODR in some cases is economically
and organizationally not always advisable in practical applications.
At the same time, it should be noted that studies of this problem do not yet allow
us to propose a set of effective means of forming OKB different purposes. Thus,
relevant and appropriate is the development of effective methods of formation OKB,
focused on the automatic input of knowledge through analysis SKTS.
The purpose of this article is to present an approach to improving the efficiency
of electronic document management in the Semantic Web by developing methods
and means of forming ontological knowledge bases based on sources of tabular
structures.
To achieve the stated goal during the study, the following tasks were implemented:
• 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 ontological knowledge bases based
on targeted enumeration and its mathematical support;
• development of a formal model of the sources of knowledge of table structures;
• development of a method for analyzing the sources of knowledge of tabular
structures based on targeted enumeration and its mathematical support;
• development of a method for generating instances of objects of subject areas based
on knowledge sources of tabular structures and its mathematical support;
• application of the developed methods for the implementation of a set of software
tools for the formation of ontological knowledge bases.
To solve the problems formulated at the beginning of the study, the ideas and
principles of artificial intelligence, Semantic Web hypertext technologies, the theory
of knowledge engineering, ontological engineering, and computational complexity
were used.
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knowledge distributed over the Web in the form of ontologies, which are sets of
explicit specifications for object-domain-related (ODR) relationships for organizing
automatic processing of data and knowledge. Within the framework of the Semantic
Web, ontologies, together with the instances of their constituent objects, form the
ontological knowledge base (OKB) [2–5].
As one of the main sources of knowledge for the Semantic Web, various types
of data sets are organized using tabular structures, the analysis of which can add
additional knowledge about the ODR,—sources of knowledge of tabular structures
(SKTS) widely used in Intranet/Internet environments. However, the wide variety
of tabular structures used to organize the content of sources constitutes a serious
obstacle to the effective application of classical methods for analyzing sources of
this type to create ODR objects, their instances, and the formation of OKB on their
basis. In addition, the orientation of existing projects and means of forming the OKB
towards the manual input of knowledge about ODR in some cases is economically
and organizationally not always advisable in practical applications.
At the same time, it should be noted that studies of this problem do not yet allow
us to propose a set of effective means of forming OKB different purposes. Thus,
relevant and appropriate is the development of effective methods of formation OKB,
focused on the automatic input of knowledge through analysis SKTS.
The purpose of this article is to present an approach to improving the efficiency
of electronic document management in the Semantic Web by developing methods
and means of forming ontological knowledge bases based on sources of tabular
structures.
To achieve the stated goal during the study, the following tasks were implemented:
• 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 ontological knowledge bases based
on targeted enumeration and its mathematical support;
• development of a formal model of the sources of knowledge of table structures;
• development of a method for analyzing the sources of knowledge of tabular
structures based on targeted enumeration and its mathematical support;
• development of a method for generating instances of objects of subject areas based
on knowledge sources of tabular structures and its mathematical support;
• application of the developed methods for the implementation of a set of software
tools for the formation of ontological knowledge bases.
To solve the problems formulated at the beginning of the study, the ideas and
principles of artificial intelligence, Semantic Web hypertext technologies, the theory
of knowledge engineering, ontological engineering, and computational complexity
were used.