Standard

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 конференцийстатья в сборнике материалов конференциинаучнаяРецензирование

Harvard

Gavrilova, T & Grinberg, E 2020, Visual ontology sketching for preliminary knowledge base design. в Y Bi, R Bhatia & S Kapoor (ред.), Intelligent Systems and Applications - Proceedings of the 2019 Intelligent Systems Conference IntelliSys Volume 1: Proceedings of the 2019 Intelligent Systems Conference IntelliSys. Volume 1. Advances in Intelligent Systems and Computing, Том. 1037, Springer Nature, стр. 566-576. https://doi.org/10.1007/978-3-030-29516-5_44

APA

Gavrilova, T., & Grinberg, E. (2020). Visual ontology sketching for preliminary knowledge base design. в Y. Bi, R. Bhatia, & S. Kapoor (Ред.), Intelligent Systems and Applications - Proceedings of the 2019 Intelligent Systems Conference IntelliSys Volume 1: Proceedings of the 2019 Intelligent Systems Conference IntelliSys. Volume 1 (стр. 566-576). (Advances in Intelligent Systems and Computing; Том 1037). Springer Nature. https://doi.org/10.1007/978-3-030-29516-5_44

Vancouver

Gavrilova T, Grinberg E. Visual ontology sketching for preliminary knowledge base design. в Bi Y, Bhatia R, Kapoor S, Редакторы, Intelligent Systems and Applications - Proceedings of the 2019 Intelligent Systems Conference IntelliSys Volume 1: Proceedings of the 2019 Intelligent Systems Conference IntelliSys. Volume 1. Springer Nature. 2020. стр. 566-576. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-030-29516-5_44

Author

Gavrilova, Tatiana ; Grinberg, Elvira . / Visual ontology sketching for preliminary knowledge base design. Intelligent Systems and Applications - Proceedings of the 2019 Intelligent Systems Conference IntelliSys Volume 1: Proceedings of the 2019 Intelligent Systems Conference IntelliSys. Volume 1. Редактор / Yaxin Bi ; Rahul Bhatia ; Supriya Kapoor. Springer Nature, 2020. стр. 566-576 (Advances in Intelligent Systems and Computing).

BibTeX

@inproceedings{ef7a3b74a8184ef7a35553bbd09af6ea,
title = "Visual ontology sketching for preliminary knowledge base design",
abstract = "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{\textquoteright}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.",
keywords = "Human-oriented ontology, Knowledge-based systems, Semiotics, SCOPUS, РИНЦ",
author = "Tatiana Gavrilova and Elvira Grinberg",
note = "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: {\textcopyright} Springer Nature Switzerland AG 2020. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.",
year = "2020",
doi = "10.1007/978-3-030-29516-5_44",
language = "English",
isbn = "9783030295158",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Nature",
pages = "566--576",
editor = "Yaxin Bi and Rahul Bhatia and Supriya Kapoor",
booktitle = "Intelligent Systems and Applications - Proceedings of the 2019 Intelligent Systems Conference IntelliSys Volume 1",
address = "Germany",

}

RIS

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