SEMANTIC TECHNOLOGIES FOR KNOWLEDGE MANAGEMENT TO SUPPORT JOINT ENERGY AND SOCIO-ECOLOGICAL RESEARCH

Информационные и математические технологии в науке и управлении ◽

10.38028/esi.2020.20.4.013 ◽

2020 ◽

Author(s):

Т.Н. Ворожцова ◽

Д.В. Пестерев ◽

Г.В. Ан

Keyword(s):

Quality Of Life ◽

Knowledge Management ◽

Cognitive Modeling ◽

Environmental Research ◽

Semantic Technologies ◽

Ecological Research ◽

Cognitive Approach ◽

Subject Areas ◽

The Impact

В статье рассматриваются возможности применения семантических технологий при разработке интеллектуальной информационной системы для поддержки энергетических и социо-экологических исследований. Использование предлагаемых технологий для управления знаниями дает возможность интеграции исследований разных предметных областей. К семантическим технологиям авторы относят традиционное онтологическое представление знаний и когнитивное моделирование, позволяющее формализовать процессы принятия экспертных решений. Использование онтологий предлагается для описания знаний предметных областей междисциплинарных исследований (энергетических и социо-экологических), связанных с оценкой влияния энергетики на качество жизни. Онтологии дают возможность согласовать терминологию между исследователями и используются для описания и структурирования знаний. Когнитивное моделирование применяется для поддержки исследователей в процессе принятия решений, выявления и описания причинно-следственных связей между основными понятиями предметной области, называемыми концептами, их наглядного представления в процессе описания возможных ситуаций. В работе описываются компоненты онтологического пространства знаний для выполнения совместных энергетических и социо-экологических исследований влияния энергетики на экологию и качество жизни. Приводятся примеры онтологии, когнитивной карты и варианта разработанной модели данных для проектирования базы данных исследований. The article discusses the possibilities of using semantic technologies in the development of an intelligent information system to support energy and socio-environmental research. The use of the proposed knowledge management technology makes it possible to integrate research in different subject areas. The authors refer to the semantic technologies as the traditional ontological representation of knowledge and the cognitive approach, which allows formalizing the processes of making expert decisions. The use of ontologies is proposed to describe the knowledge of subject areas of interdisciplinary energy and socio-ecological research related to assessing the impact of energy on the quality of life. Ontologies make it possible to agree on terminology between researchers and are used to describe and structure knowledge and required information. Cognitive modeling is used to support researchers in the decision-making process, identify and describe cause-and-effect relationships between the main concepts of the subject area, and visualize possible situations. The paper describes the components of the ontological space of knowledge for the implementation of joint energy and socio-ecological studies of the impact of energy on the environment and quality of life. Examples of an ontology, a cognitive map, and a variant of the developed data model for designing a database for research are given.

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Using intelligent technologies for knowledge formation in research on the impact of power industry on ecology and quality of life

E3S Web of Conferences ◽

10.1051/e3sconf/202020902032 ◽

2020 ◽

Vol 209 ◽

pp. 02032

Author(s):

Tatyana Vorozhtsova ◽

Dmitry Pesterev ◽

Gleb An

Keyword(s):

Quality Of Life ◽

Cognitive Modeling ◽

Structural Representation ◽

Joint Research ◽

Modeling Methodology ◽

Knowledge Formation ◽

Subject Areas ◽

Intelligent Information ◽

The Impact

The article discusses the possibilities of using intelligent technologies, namely, ontological and cognitive modeling to represent knowledge in studies of the impact of energy facilities on the environment and the quality of life of the population. The relevance of this work is due to the need to improve research methods. An intelligent information system and an ontological space of knowledge are being developed, integrating tools and an information base to carry out research. It is proposed to use ontologies to identify and organize the basic concepts of different subject areas related to joint research, establish relationships between them, as well as for the structural representation of knowledge. The cognitive modeling methodology is designed to analyze and model situations and make coordinated decisions in the energy industry, taking into account its impact on the environment and quality of life. Cognitive modeling is used to identify causal relationships between concepts, visualize them, describe possible situations and support to decision-making.

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Scenario cognitive modeling of development trends of the complexity system “youth, labor market, quality of life”

System research and information technologies ◽

10.20535/srit.2308-8893.2021.1.09 ◽

2021 ◽

pp. 103-120

Author(s):

Galina Gorelova ◽

Andrey Saak

Keyword(s):

Quality Of Life ◽

Labor Market ◽

Young People ◽

Cognitive Modeling ◽

Market Quality ◽

Youth Labor Market ◽

Structured Problems ◽

Conducting Research ◽

The Impact

Conducting research on the quality of life of young people and the impact on it of such a significant factor as the youth labor market, as well as related research on the problems of state support for young people, require the use of simulation methods due to the incompleteness of information and poorly structured problems of such complex systems as the quality of life of young people and the labor market. The article gives a brief overview of the categories “labor market”, “quality of life”, “youth”, which is necessary to determine the content of cognitive modeling of the complex system “youth, labor market, quality of life”. The technology of cognitive modeling is briefly presented. The results of the application of cognitive simulation modeling to the study of the quality of life of young people in relation to the labor market are presented. An example of modeling is presented in the form of a corresponding cognitive map and a number of scenarios for the possible development of situations on it, which may arise under the assumed influence of various social and economic factors, as well as under the influence of regulatory and control systems.

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Self-Compassion and Quality of Life in Adults Who Stutter

American Journal of Speech-Language Pathology ◽

10.1044/2020_ajslp-20-00055 ◽

2020 ◽

Vol 29 (4) ◽

pp. 2097-2108

Author(s):

Robyn L. Croft ◽

Courtney T. Byrd

Keyword(s):

Quality Of Life ◽

Social Connectedness ◽

The Self ◽

Future Research ◽

Self Compassion ◽

Adults Who Stutter ◽

And Gender ◽

Relationship Of ◽

The Impact

Purpose The purpose of this study was to identify levels of self-compassion in adults who do and do not stutter and to determine whether self-compassion predicts the impact of stuttering on quality of life in adults who stutter. Method Participants included 140 adults who do and do not stutter matched for age and gender. All participants completed the Self-Compassion Scale. Adults who stutter also completed the Overall Assessment of the Speaker's Experience of Stuttering. Data were analyzed for self-compassion differences between and within adults who do and do not stutter and to predict self-compassion on quality of life in adults who stutter. Results Adults who do and do not stutter exhibited no significant differences in total self-compassion, regardless of participant gender. A simple linear regression of the total self-compassion score and total Overall Assessment of the Speaker's Experience of Stuttering score showed a significant, negative linear relationship of self-compassion predicting the impact of stuttering on quality of life. Conclusions Data suggest that higher levels of self-kindness, mindfulness, and social connectedness (i.e., self-compassion) are related to reduced negative reactions to stuttering, an increased participation in daily communication situations, and an improved overall quality of life. Future research should replicate current findings and identify moderators of the self-compassion–quality of life relationship.

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