Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
Visual ontology sketching for preliminary knowledge base design. / Gavrilova, Tatiana ; Grinberg, Elvira .
Intelligent Systems and Applications - Proceedings of the 2019 Intelligent Systems Conference IntelliSys Volume 1: Proceedings of the 2019 Intelligent Systems Conference IntelliSys. Volume 1. ред. / Yaxin Bi; Rahul Bhatia; Supriya Kapoor. Springer Nature, 2020. стр. 566-576 (Advances in Intelligent Systems and Computing; Том 1037).Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
}
TY - GEN
T1 - Visual ontology sketching for preliminary knowledge base design
AU - Gavrilova, Tatiana
AU - Grinberg, Elvira
N1 - Gavrilova, T. Visual Ontology Sketching for Preliminary Knowledge Base Design / T. Gavrilova, E. Grinberg // Intelligent Systems and Applications. - Proceedings of the 2019 Intelligent Systems Conference IntelliSys Volume 1. - 2020. - P. 566-576. Publisher Copyright: © Springer Nature Switzerland AG 2020. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2020
Y1 - 2020
N2 - Knowledge base is an important component of intelligent system and the main part of an expert system. Nowadays ontologies become a mainstream technology in knowledge base design. This technology helps to represent knowledge in the form of concepts, their properties, and axioms. Ontology is relevant not only for developers but also for managers, sponsors of the project, domain experts, and future users. Our analysis of successful ontology-based diagrams shows that visual sketching reveals the main concepts and the relations between them in informal way that helps to catch the main idea, the essence of the domain knowledge. The research analysis of the visual sketching method was performed using the semiotic approach. The paper contributes to the discussion on the influence of visual ontology diagrams on user’s perception and understanding. It highlights the features which allow making ontology conceivable and suitable for the better human interpretation and communication. It suggests considering aesthetic and ergonomic characteristics of ontology as supplements to countable ones.
AB - Knowledge base is an important component of intelligent system and the main part of an expert system. Nowadays ontologies become a mainstream technology in knowledge base design. This technology helps to represent knowledge in the form of concepts, their properties, and axioms. Ontology is relevant not only for developers but also for managers, sponsors of the project, domain experts, and future users. Our analysis of successful ontology-based diagrams shows that visual sketching reveals the main concepts and the relations between them in informal way that helps to catch the main idea, the essence of the domain knowledge. The research analysis of the visual sketching method was performed using the semiotic approach. The paper contributes to the discussion on the influence of visual ontology diagrams on user’s perception and understanding. It highlights the features which allow making ontology conceivable and suitable for the better human interpretation and communication. It suggests considering aesthetic and ergonomic characteristics of ontology as supplements to countable ones.
KW - Human-oriented ontology
KW - Knowledge-based systems
KW - Semiotics
KW - SCOPUS
KW - РИНЦ
UR - http://www.scopus.com/inward/record.url?scp=85072827270&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/a3ca39c0-a3ec-32eb-946b-ddd35d3f2dce/
U2 - 10.1007/978-3-030-29516-5_44
DO - 10.1007/978-3-030-29516-5_44
M3 - Conference contribution
SN - 9783030295158
T3 - Advances in Intelligent Systems and Computing
SP - 566
EP - 576
BT - Intelligent Systems and Applications - Proceedings of the 2019 Intelligent Systems Conference IntelliSys Volume 1
A2 - Bi, Yaxin
A2 - Bhatia, Rahul
A2 - Kapoor, Supriya
PB - Springer Nature
ER -
ID: 52337589