Use of ontological networks in decision support systems under ambiguity

Karpov, Ihor; Burov, Yevhen

doi:10.23939/sisn2020.07.008

Cited by 3 publications

(1 citation statement)

References 8 publications

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“…But this is a very difficult task, since due to the presence of ontologies similar in competence, the principle of multiple ontologies should be taken into account. Today, this principle manifests itself both at the level of top-level ontologies (SUMO, DOLCE, UFO, GFO), which use various principles of construction, and at the level of industry-specific ontologies [9].…”

Section: Introductionmentioning

confidence: 99%

Analysis of approaches for identification the ontological model components of the searching system

Kostenko

Bulhakova

Stelyuk

2021

TAPR

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The object of research is the components of an intelligent system for searching information in electronic repositories of unstructured documents, which based on the ontologies of the subject area. One of the most problematic areas is the processing and analysis of information contained in electronic repositories of unstructured documents. There are considered the some possibilities of increasing the efficiency of information processing. In the course of the study, using the method in which ontologies comprise sets of terms presented in it. In addition, the ontological set also includes information about subject areas, areas of definitions, etc. There are obtained the sequence of defining the conceptual representation of an intelligent search system based on ontological components. There are presented the composition of the ontological system model. There are described the main functional components of the system for intelligent processing of information about electronic documents. The proposed approaches for identifying the component components of the ontological model of the search system have a lot of features. This is due to the fact that the search system model must have a set of properties: integrity, coherence, organization, integrability, mobility. Ontologies which representing the basic concepts of the domain in a format available for automated processing in the form of a hierarchy of classes and relationships between them allow automated processing. The using of ontologies in the role of an intermediary between the user and the search process, between the search process and the search system that can facilitate the solution of a number of complex and non-standard tasks of information retrieval (for example, the automation of the search process). It is possible to solve the problem of knowledge representation for displaying information relevant to user requests, as well as to solve the problems of filtering and classifying information. Compared to similar well-known search systems, this provides such advantages as creating a common terminology for software agents and users, protecting the information store from total overflow and errors, as well as solving the issue of information aging.

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Section: Introductionmentioning

confidence: 99%

Analysis of approaches for identification the ontological model components of the searching system

Kostenko

Bulhakova

Stelyuk

2021

TAPR

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Application of Classification to Determine the Level of Awareness of the Foresight Process

Pankratova

Savastiyanov

2022

System Analysis in Engineering and Control

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Method of building embeddings of signs in deep learning problems based on ontologies

Lytvyn,

Mushasta

2023

Vìsn. Nac. unìv. "Lʹvìv. polìteh.", Ser. Ìnf. sist. merežì

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This paper investigates the problem of embedding features used in datasets for training neural networks. The use of embeddings increases the performance of neural networks, and therefore is an important part of data preparation for deep learning methods. Such a process is based on semantic metrics. It is proposed to use ontologies of the subject areas to which the corresponding feature belongs for embedding. This work developed such a method and investigated its use for the task of categorizing text documents. The research results showed the advantage of the developed method.

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Use of ontological networks in decision support systems under ambiguity

Cited by 3 publications

References 8 publications

Analysis of approaches for identification the ontological model components of the searching system

Analysis of approaches for identification the ontological model components of the searching system

Application of Classification to Determine the Level of Awareness of the Foresight Process

Method of building embeddings of signs in deep learning problems based on ontologies

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