Cognitive technologies of the subject area based on ontology

Olena Gorda, M. Tsiutsiura
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引用次数: 1

Abstract

An important problem of the automated construction of ontologies as a knowledge system is intellectualization, as well as the related data integration and qualitative information search. In this connection, the task of automated formation of ontologies is quite urgent. The most common quality criterion of the ontology is based on the assessment of the convenience and efficiency of working with it, and the presence of a connection between cognitive and semantic processes, which contributes to the process of its construction and actualization. The main difference of the conducted analysis, the results of which are presented in this work, are cognitive information technologies of the subject area, cognitive-semantic analysis based on the theory of categories, mathematical logic and universal algebra, construction of an ontological dictionary and ontological constructions. The informational interaction of the intellectual environment of the object with the subject is defined. For the formation of the concept in the intellectual environment due to the attached information space, the possibility is determined and the application of the concept and its features within the framework of the problem is substantiated. The construction of ontologies is based on the connection of cognitive processes with semantic ones and actualization – description and identification of sources of cognitive information in intellectual environments of subject areas. Linguistic-semantic analyzer is the main method of analyzing the emergence of new concepts, identification of semantically compatible concepts from various sources of knowledge, formation of textual stereotypes, prototypes and invariants in the form of text written with the words of this dictionary and terms contained in the thesaurus – by searching in text arrays of varying degrees of structuring of minimal semantic units and the use of object-oriented multivariate analysis in the construction of a system of templates with fuzzy calculations for class fields.
基于本体的学科领域认知技术
本体作为知识系统自动化构建的一个重要问题是智能化,以及相关的数据集成和定性信息检索。在这方面,本体的自动形成任务非常紧迫。本体最常见的质量标准是基于使用本体的便利性和效率的评估,以及认知过程和语义过程之间存在的联系,这有助于本体的构建和实现过程。所进行的分析的主要不同之处在于,本工作中提出的结果是学科领域的认知信息技术,基于范畴理论、数学逻辑和通用代数的认知语义分析,本体词典的构建和本体结构。定义了客体的智力环境与主体的信息交互作用。由于附加的信息空间,概念在智力环境中形成的可能性被确定,概念及其特征在问题框架内的应用被证实。本体的构建是基于认知过程与语义过程的联系以及在学科领域的智力环境中对认知信息源的描述和识别的实现。语言语义分析是分析新概念的出现,从各种知识来源中识别语义相容的概念,形成语篇刻板印象,文本形式的原型和不变量用本词典的单词和同义词库中包含的术语编写-通过在最小语义单元的不同程度的结构的文本数组中搜索和使用面向对象的多变量分析来构建具有类字段模糊计算的模板系统。
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