210
V. Babenko et al.
The methods and means of forming OKB on the basis of SKTS developed in the
course of research allow us to solve a wide class of problems related to the organization of workflow on the basis of OKB with the possibility of obtaining new knowledge in the form of objects related by relations ODR by analyzing SKTS different
formats, as well as organizing the automatic processing of distributed knowledge on
the semantic web.
2 Comparative Analysis of Modern Approaches
to the Formation of Ontological Knowledge Bases
in Semantic Web Systems
The current stage of development of theoretical and practical research in the field of
artificial intelligence is characterized by increased attention to the development of
industrial technologies of knowledge bases [6, 7]. The most promising area in this
area, according to the W3C consortium and other research groups, is the development
of ontological knowledge bases, which can become the basis for the creation of the
next generation Web, namely, the basis of the Semantic Web. In this connection, there
is an active development of development tools for web-oriented knowledge bases.
Existing projects to create such tools focus mainly on manual input of knowledge
about ODR. Moreover, the expert acts as a source of knowledge [8, 9]. At the same
time, in [10] it is noted that any object of the material world, the analysis of which
can add additional knowledge about ODR to OKB, can potentially be sources of
knowledge for intelligent systems running on the Semantic Web.
According to studies [11, 12], the content of about 52% of electronic documents
on the Internet is organized using tabular structures. The sources of knowledge of
table structures include databases and data warehouses, various types of printed and
electronic table documents [13].
Historically, the first approach to the formation of OKB was based on the methods
of structural analysis of SKTS, which is carried out by processing the structure of
these SKTS and identifying their structural components [14, 15]. The effectiveness
of such methods is limited by the small number of tabular structures analyzed and
the inconsistency of interpretation of SKTS structural components and their visual
representation [16].
The need to solve the problem of creating ontological knowledge bases based
on the sources of tabular structures, characterized by a high level of complexity
of organizing the contents of these sources, has led to the emergence of a new
generation of intelligent methods for forming ontological knowledge bases based
on top-level ontologies [17, 18]. Currently, this direction is at an intensive stage
of development, as evidenced by the flow of publications within the framework of
IEEE Intelligent Systems. Below we will consider approaches to the formation of
ontological knowledge bases on the basis of various structured sources, implemented
by means of the modern theory of artificial intelligence.
V. Babenko et al.
The methods and means of forming OKB on the basis of SKTS developed in the
course of research allow us to solve a wide class of problems related to the organization of workflow on the basis of OKB with the possibility of obtaining new knowledge in the form of objects related by relations ODR by analyzing SKTS different
formats, as well as organizing the automatic processing of distributed knowledge on
the semantic web.
2 Comparative Analysis of Modern Approaches
to the Formation of Ontological Knowledge Bases
in Semantic Web Systems
The current stage of development of theoretical and practical research in the field of
artificial intelligence is characterized by increased attention to the development of
industrial technologies of knowledge bases [6, 7]. The most promising area in this
area, according to the W3C consortium and other research groups, is the development
of ontological knowledge bases, which can become the basis for the creation of the
next generation Web, namely, the basis of the Semantic Web. In this connection, there
is an active development of development tools for web-oriented knowledge bases.
Existing projects to create such tools focus mainly on manual input of knowledge
about ODR. Moreover, the expert acts as a source of knowledge [8, 9]. At the same
time, in [10] it is noted that any object of the material world, the analysis of which
can add additional knowledge about ODR to OKB, can potentially be sources of
knowledge for intelligent systems running on the Semantic Web.
According to studies [11, 12], the content of about 52% of electronic documents
on the Internet is organized using tabular structures. The sources of knowledge of
table structures include databases and data warehouses, various types of printed and
electronic table documents [13].
Historically, the first approach to the formation of OKB was based on the methods
of structural analysis of SKTS, which is carried out by processing the structure of
these SKTS and identifying their structural components [14, 15]. The effectiveness
of such methods is limited by the small number of tabular structures analyzed and
the inconsistency of interpretation of SKTS structural components and their visual
representation [16].
The need to solve the problem of creating ontological knowledge bases based
on the sources of tabular structures, characterized by a high level of complexity
of organizing the contents of these sources, has led to the emergence of a new
generation of intelligent methods for forming ontological knowledge bases based
on top-level ontologies [17, 18]. Currently, this direction is at an intensive stage
of development, as evidenced by the flow of publications within the framework of
IEEE Intelligent Systems. Below we will consider approaches to the formation of
ontological knowledge bases on the basis of various structured sources, implemented
by means of the modern theory of artificial intelligence.