Standard

Pattern-based methodology for building the ontologies of scientific subject domains. / Zagorulko, Yury; Zagorulko, Galina; Borovikova, Olesya.

New Trends in Intelligent Software Methodologies, Tools and Techniques - Proceedings of the 17th International Conference, SoMeT 2018. ред. / Hamido Fujita; Enrique Herrera-Viedma. IOS Press, 2018. стр. 529-542 (Frontiers in Artificial Intelligence and Applications; Том 303).

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование

Harvard

Zagorulko, Y, Zagorulko, G & Borovikova, O 2018, Pattern-based methodology for building the ontologies of scientific subject domains. в H Fujita & E Herrera-Viedma (ред.), New Trends in Intelligent Software Methodologies, Tools and Techniques - Proceedings of the 17th International Conference, SoMeT 2018. Frontiers in Artificial Intelligence and Applications, Том. 303, IOS Press, стр. 529-542, 17th International Conference on New Trends in Intelligent Software Methodology Tools and Techniques, SoMeT 2018, Granada, Испания, 26.09.2018. https://doi.org/10.3233/978-1-61499-900-3-529

APA

Zagorulko, Y., Zagorulko, G., & Borovikova, O. (2018). Pattern-based methodology for building the ontologies of scientific subject domains. в H. Fujita, & E. Herrera-Viedma (Ред.), New Trends in Intelligent Software Methodologies, Tools and Techniques - Proceedings of the 17th International Conference, SoMeT 2018 (стр. 529-542). (Frontiers in Artificial Intelligence and Applications; Том 303). IOS Press. https://doi.org/10.3233/978-1-61499-900-3-529

Vancouver

Zagorulko Y, Zagorulko G, Borovikova O. Pattern-based methodology for building the ontologies of scientific subject domains. в Fujita H, Herrera-Viedma E, Редакторы, New Trends in Intelligent Software Methodologies, Tools and Techniques - Proceedings of the 17th International Conference, SoMeT 2018. IOS Press. 2018. стр. 529-542. (Frontiers in Artificial Intelligence and Applications). doi: 10.3233/978-1-61499-900-3-529

Author

Zagorulko, Yury ; Zagorulko, Galina ; Borovikova, Olesya. / Pattern-based methodology for building the ontologies of scientific subject domains. New Trends in Intelligent Software Methodologies, Tools and Techniques - Proceedings of the 17th International Conference, SoMeT 2018. Редактор / Hamido Fujita ; Enrique Herrera-Viedma. IOS Press, 2018. стр. 529-542 (Frontiers in Artificial Intelligence and Applications).

BibTeX

@inproceedings{f8fbbe3f226a41468f7ff3784754e1ba,
title = "Pattern-based methodology for building the ontologies of scientific subject domains",
abstract = "The development of scientific subject domains ontologies is both challenging and demanding. Ontologies should not only represent a large number of concepts but also ensure their uniform and consistent description. This result is much easier to achieve if you build an ontology using ontology design patterns. These are intended to describe solutions to typical problems arising regularly when developing the ontologies of different subject domains. Ontology design patterns are intended to streamline and facilitate the process of building ontologies and help developers avoid the frequent repetitive errors of ontological modeling. The paper presents a methodology for building the ontologies of scientific subject domains, which offers a representative set of ontology design patterns and a method for their application. The patterns used in this methodology have appeared as a result of solving ontological modeling problems, which the authors of the paper encountered in the process of developing ontologies for various scientific subject domains.",
keywords = "Methodology for the ontology development, Ontology, Ontology design patterns, Ontology of decision support, Scientific subject domain, methodology for the ontology development, ontology of decision support, ontology, ontology design patterns",
author = "Yury Zagorulko and Galina Zagorulko and Olesya Borovikova",
year = "2018",
month = jan,
day = "1",
doi = "10.3233/978-1-61499-900-3-529",
language = "English",
isbn = "978-1-61499-899-0",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press",
pages = "529--542",
editor = "Hamido Fujita and Enrique Herrera-Viedma",
booktitle = "New Trends in Intelligent Software Methodologies, Tools and Techniques - Proceedings of the 17th International Conference, SoMeT 2018",
address = "Netherlands",
note = "17th International Conference on New Trends in Intelligent Software Methodology Tools and Techniques, SoMeT 2018 ; Conference date: 26-09-2018 Through 28-09-2018",

}

RIS

TY - GEN

T1 - Pattern-based methodology for building the ontologies of scientific subject domains

AU - Zagorulko, Yury

AU - Zagorulko, Galina

AU - Borovikova, Olesya

PY - 2018/1/1

Y1 - 2018/1/1

N2 - The development of scientific subject domains ontologies is both challenging and demanding. Ontologies should not only represent a large number of concepts but also ensure their uniform and consistent description. This result is much easier to achieve if you build an ontology using ontology design patterns. These are intended to describe solutions to typical problems arising regularly when developing the ontologies of different subject domains. Ontology design patterns are intended to streamline and facilitate the process of building ontologies and help developers avoid the frequent repetitive errors of ontological modeling. The paper presents a methodology for building the ontologies of scientific subject domains, which offers a representative set of ontology design patterns and a method for their application. The patterns used in this methodology have appeared as a result of solving ontological modeling problems, which the authors of the paper encountered in the process of developing ontologies for various scientific subject domains.

AB - The development of scientific subject domains ontologies is both challenging and demanding. Ontologies should not only represent a large number of concepts but also ensure their uniform and consistent description. This result is much easier to achieve if you build an ontology using ontology design patterns. These are intended to describe solutions to typical problems arising regularly when developing the ontologies of different subject domains. Ontology design patterns are intended to streamline and facilitate the process of building ontologies and help developers avoid the frequent repetitive errors of ontological modeling. The paper presents a methodology for building the ontologies of scientific subject domains, which offers a representative set of ontology design patterns and a method for their application. The patterns used in this methodology have appeared as a result of solving ontological modeling problems, which the authors of the paper encountered in the process of developing ontologies for various scientific subject domains.

KW - Methodology for the ontology development

KW - Ontology

KW - Ontology design patterns

KW - Ontology of decision support

KW - Scientific subject domain

KW - methodology for the ontology development

KW - ontology of decision support

KW - ontology

KW - ontology design patterns

UR - http://www.scopus.com/inward/record.url?scp=85063412581&partnerID=8YFLogxK

U2 - 10.3233/978-1-61499-900-3-529

DO - 10.3233/978-1-61499-900-3-529

M3 - Conference contribution

AN - SCOPUS:85063412581

SN - 978-1-61499-899-0

T3 - Frontiers in Artificial Intelligence and Applications

SP - 529

EP - 542

BT - New Trends in Intelligent Software Methodologies, Tools and Techniques - Proceedings of the 17th International Conference, SoMeT 2018

A2 - Fujita, Hamido

A2 - Herrera-Viedma, Enrique

PB - IOS Press

T2 - 17th International Conference on New Trends in Intelligent Software Methodology Tools and Techniques, SoMeT 2018

Y2 - 26 September 2018 through 28 September 2018

ER -

ID: 18968231