Aesthetic knowledge diagrams

Bridging understanding and communication

Результат исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийглава/разделнаучнаярецензирование

1 цитирование (Scopus)

Выдержка

Knowledge diagrams represent all substantial aspects of information involved in designing, codifying and representing company or domain knowledge assets. The chapter considers not only design but also the use of such maps including but not limited to facilitation of learning; eliciting, capturing, archiving and using expert knowledge; planning instruction; assessment of deep understandings; research planning; collaborative knowledge modelling; creation of knowledge portfolios; curriculum design; e-learning; and administrative and strategic planning and monitoring. Knowledge diagrams belong to the multidisciplinary fields of knowledge engineering (KE) and knowledge management (KM), bringing in concepts and methods from several computer science domains such as artificial intelligence, databases, expert systems, decision support systems and information systems. KE is strongly related to cognitive and social sciences and socio-cognitive engineering, where knowledge is considered to be produced by humans and structured according to mutual understanding of how human reasoning and logic work. Currently, KE is related to the construction of shared conceptual frameworks, often presented visually as knowledge diagrams. The chapter describes cognitive aspects of knowledge diagram design, using ideas coined by Gestalt psychology, involving good form and aesthetic perception. It is aimed at all researchers and practitioners interested in the use of knowledge diagrams, as outlined above.

Язык оригиналаанглийский
Название основной публикацииKnowledge Management and Organizational Learning
ИздательSpringer
Страницы97-117
Число страниц21
DOI
СостояниеОпубликовано - 1 янв 2019

Серия публикаций

НазваниеKnowledge Management and Organizational Learning
Том7
ISSN (печатное издание)2199-8663
ISSN (электронное издание)2199-8671

Отпечаток

Knowledge engineering
aesthetics
engineering
communication
Communication
gestalt psychology
Planning
Strategic planning
expert knowledge
Social sciences
knowledge-based system
artificial intelligence
strategic planning
Knowledge management
Decision support systems
knowledge management
computer science
Curricula
Expert systems
Computer science

Предметные области Scopus

  • Информационные системы управления
  • Организационное поведение и управление персоналом
  • Образование
  • Компьютерные сети и коммуникации
  • Прикладные компьютерные науки
  • Человеко-машинное взаимодействие

Цитировать

Gavrilova, T., Kudryavtsev, D., & Grinberg, E. (2019). Aesthetic knowledge diagrams: Bridging understanding and communication. В Knowledge Management and Organizational Learning (стр. 97-117). (Knowledge Management and Organizational Learning; Том 7). Springer. https://doi.org/10.1007/978-3-030-10922-6_6
Gavrilova, Tatiana ; Kudryavtsev, Dmitry ; Grinberg, Elvira. / Aesthetic knowledge diagrams : Bridging understanding and communication. Knowledge Management and Organizational Learning. Springer, 2019. стр. 97-117 (Knowledge Management and Organizational Learning).
@inbook{5b50fde2201d43c8b5708225370d68ed,
title = "Aesthetic knowledge diagrams: Bridging understanding and communication",
abstract = "Knowledge diagrams represent all substantial aspects of information involved in designing, codifying and representing company or domain knowledge assets. The chapter considers not only design but also the use of such maps including but not limited to facilitation of learning; eliciting, capturing, archiving and using expert knowledge; planning instruction; assessment of deep understandings; research planning; collaborative knowledge modelling; creation of knowledge portfolios; curriculum design; e-learning; and administrative and strategic planning and monitoring. Knowledge diagrams belong to the multidisciplinary fields of knowledge engineering (KE) and knowledge management (KM), bringing in concepts and methods from several computer science domains such as artificial intelligence, databases, expert systems, decision support systems and information systems. KE is strongly related to cognitive and social sciences and socio-cognitive engineering, where knowledge is considered to be produced by humans and structured according to mutual understanding of how human reasoning and logic work. Currently, KE is related to the construction of shared conceptual frameworks, often presented visually as knowledge diagrams. The chapter describes cognitive aspects of knowledge diagram design, using ideas coined by Gestalt psychology, involving good form and aesthetic perception. It is aimed at all researchers and practitioners interested in the use of knowledge diagrams, as outlined above.",
keywords = "Aesthetics, Knowledge diagram, Knowledge engineering, Visualization, SCOPUS",
author = "Tatiana Gavrilova and Dmitry Kudryavtsev and Elvira Grinberg",
note = "Gavrilova, T. A. Aesthetic knowledge diagrams: Bridging understanding and communication / T. A. Gavrilova, D.V. Kudryavtsev, E. Y. Grinberg // Knowledge Management and Organizational Learning. - 2019. - Volume 7. - P. 97-117.",
year = "2019",
month = "1",
day = "1",
doi = "10.1007/978-3-030-10922-6_6",
language = "English",
series = "Knowledge Management and Organizational Learning",
publisher = "Springer",
pages = "97--117",
booktitle = "Knowledge Management and Organizational Learning",
address = "Germany",

}

Gavrilova, T, Kudryavtsev, D & Grinberg, E 2019, Aesthetic knowledge diagrams: Bridging understanding and communication. в Knowledge Management and Organizational Learning. Knowledge Management and Organizational Learning, том. 7, Springer, стр. 97-117. https://doi.org/10.1007/978-3-030-10922-6_6

Aesthetic knowledge diagrams : Bridging understanding and communication. / Gavrilova, Tatiana; Kudryavtsev, Dmitry; Grinberg, Elvira.

Knowledge Management and Organizational Learning. Springer, 2019. стр. 97-117 (Knowledge Management and Organizational Learning; Том 7).

Результат исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийглава/разделнаучнаярецензирование

TY - CHAP

T1 - Aesthetic knowledge diagrams

T2 - Bridging understanding and communication

AU - Gavrilova, Tatiana

AU - Kudryavtsev, Dmitry

AU - Grinberg, Elvira

N1 - Gavrilova, T. A. Aesthetic knowledge diagrams: Bridging understanding and communication / T. A. Gavrilova, D.V. Kudryavtsev, E. Y. Grinberg // Knowledge Management and Organizational Learning. - 2019. - Volume 7. - P. 97-117.

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Knowledge diagrams represent all substantial aspects of information involved in designing, codifying and representing company or domain knowledge assets. The chapter considers not only design but also the use of such maps including but not limited to facilitation of learning; eliciting, capturing, archiving and using expert knowledge; planning instruction; assessment of deep understandings; research planning; collaborative knowledge modelling; creation of knowledge portfolios; curriculum design; e-learning; and administrative and strategic planning and monitoring. Knowledge diagrams belong to the multidisciplinary fields of knowledge engineering (KE) and knowledge management (KM), bringing in concepts and methods from several computer science domains such as artificial intelligence, databases, expert systems, decision support systems and information systems. KE is strongly related to cognitive and social sciences and socio-cognitive engineering, where knowledge is considered to be produced by humans and structured according to mutual understanding of how human reasoning and logic work. Currently, KE is related to the construction of shared conceptual frameworks, often presented visually as knowledge diagrams. The chapter describes cognitive aspects of knowledge diagram design, using ideas coined by Gestalt psychology, involving good form and aesthetic perception. It is aimed at all researchers and practitioners interested in the use of knowledge diagrams, as outlined above.

AB - Knowledge diagrams represent all substantial aspects of information involved in designing, codifying and representing company or domain knowledge assets. The chapter considers not only design but also the use of such maps including but not limited to facilitation of learning; eliciting, capturing, archiving and using expert knowledge; planning instruction; assessment of deep understandings; research planning; collaborative knowledge modelling; creation of knowledge portfolios; curriculum design; e-learning; and administrative and strategic planning and monitoring. Knowledge diagrams belong to the multidisciplinary fields of knowledge engineering (KE) and knowledge management (KM), bringing in concepts and methods from several computer science domains such as artificial intelligence, databases, expert systems, decision support systems and information systems. KE is strongly related to cognitive and social sciences and socio-cognitive engineering, where knowledge is considered to be produced by humans and structured according to mutual understanding of how human reasoning and logic work. Currently, KE is related to the construction of shared conceptual frameworks, often presented visually as knowledge diagrams. The chapter describes cognitive aspects of knowledge diagram design, using ideas coined by Gestalt psychology, involving good form and aesthetic perception. It is aimed at all researchers and practitioners interested in the use of knowledge diagrams, as outlined above.

KW - Aesthetics

KW - Knowledge diagram

KW - Knowledge engineering

KW - Visualization

KW - SCOPUS

UR - http://www.scopus.com/inward/record.url?scp=85064766243&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-10922-6_6

DO - 10.1007/978-3-030-10922-6_6

M3 - Chapter

T3 - Knowledge Management and Organizational Learning

SP - 97

EP - 117

BT - Knowledge Management and Organizational Learning

PB - Springer

ER -

Gavrilova T, Kudryavtsev D, Grinberg E. Aesthetic knowledge diagrams: Bridging understanding and communication. В Knowledge Management and Organizational Learning. Springer. 2019. стр. 97-117. (Knowledge Management and Organizational Learning). https://doi.org/10.1007/978-3-030-10922-6_6