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Ontology-based Methodology for Knowledge Maps Design. / Гаврилова, Татьяна Альбертовна; Алканова, Ольга Николаевна; Кузнецова, Анна Вениаминовна.

Proceedings of the Seventh International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’23). IITI 2023. ред. / Sergey Kovalev; Andrey Sukhanov; Igor Kotenko. Springer Nature, 2023. стр. 250-259 (Lecture Notes in Networks and Systems; Том 776, № 23).

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

Harvard

Гаврилова, ТА, Алканова, ОН & Кузнецова, АВ 2023, Ontology-based Methodology for Knowledge Maps Design. в S Kovalev, A Sukhanov & I Kotenko (ред.), Proceedings of the Seventh International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’23). IITI 2023. Lecture Notes in Networks and Systems, № 23, Том. 776, Springer Nature, стр. 250-259, Seventh International Scientific Conference “Intelligent Information Technologies for Industry” , Санкт-Петербург, Российская Федерация, 25/09/23. https://doi.org/10.1007/978-3-031-43789-2_23, https://doi.org/10.1007/978-3-031-43789-2, https://doi.org/10.1007/978-3-031-43789-2_23

APA

Гаврилова, Т. А., Алканова, О. Н., & Кузнецова, А. В. (2023). Ontology-based Methodology for Knowledge Maps Design. в S. Kovalev, A. Sukhanov, & I. Kotenko (Ред.), Proceedings of the Seventh International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’23). IITI 2023 (стр. 250-259). (Lecture Notes in Networks and Systems; Том 776, № 23). Springer Nature. https://doi.org/10.1007/978-3-031-43789-2_23, https://doi.org/10.1007/978-3-031-43789-2, https://doi.org/10.1007/978-3-031-43789-2_23

Vancouver

Гаврилова ТА, Алканова ОН, Кузнецова АВ. Ontology-based Methodology for Knowledge Maps Design. в Kovalev S, Sukhanov A, Kotenko I, Редакторы, Proceedings of the Seventh International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’23). IITI 2023. Springer Nature. 2023. стр. 250-259. (Lecture Notes in Networks and Systems; 23). https://doi.org/10.1007/978-3-031-43789-2_23, https://doi.org/10.1007/978-3-031-43789-2, https://doi.org/10.1007/978-3-031-43789-2_23

Author

Гаврилова, Татьяна Альбертовна ; Алканова, Ольга Николаевна ; Кузнецова, Анна Вениаминовна. / Ontology-based Methodology for Knowledge Maps Design. Proceedings of the Seventh International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’23). IITI 2023. Редактор / Sergey Kovalev ; Andrey Sukhanov ; Igor Kotenko. Springer Nature, 2023. стр. 250-259 (Lecture Notes in Networks and Systems; 23).

BibTeX

@inproceedings{4d23a690cb624acca320248eb64e4929,
title = "Ontology-based Methodology for Knowledge Maps Design",
abstract = "Visualization of corporate knowledge in organizations creates thepotential for a significant improvement in the quality of decision making andmanagementefficiency. However, at the moment there is little correlation between theneeds of enterprises and new technologies in the field of knowledge engineering.Models and methods of knowledge visualization are not yet mature enough tosolve practical problems of information and knowledge management. This is especiallytrue for knowledge-intensive enterprises and organizations, universities, andresearch institutes. The paper presents a new methodology for the knowledge andcompetences mapping of the faculty members (or any employees). The methodologyis supported by the ontology-based approach and significantly expandsthe traditional knowledge engineering palette of methods. Ontologies as conceptualmodels of the subject areas are one of the most promising approaches to thedevelopment of knowledge bases and knowledge graphs. The importance of ontologyengineering is rapidly gaining the new adopters. The proposed methodologyconsists of 4 main meta-steps to create a knowledge map:• Set of ontologies design (ON);• Knowledge elicitation for ontology population (E);• Visual knowledge mapping (VI);• Knowledge map justification and dissemination (D).The proposed ONE-VID approach was implemented at Graduate School ofManagement in Saint-Petersburg State University for the sample of 63 facultymembers. Several types of K-maps were designed and developed – treemaps,radars, knowledge profiles, etc.The paper describes the new methodology and illustrates the first results. Thesubsequent longitude study plan is considered that will give the possibility tocompare the specific knowledge profiles and gaps as time passes.",
author = "Гаврилова, {Татьяна Альбертовна} and Алканова, {Ольга Николаевна} and Кузнецова, {Анна Вениаминовна}",
note = "Gavrilova, T., Alkanova, O., Kuznetsova, A. Ontology-Based Methodology for Knowledge Maps Design // In: Kovalev, S., Kotenko, I., Sukhanov, A. (eds) Proceedings of the Seventh International Scientific Conference “Intelligent Information Technologies for Industry” (IITI{\textquoteright}23). IITI 2023. Lecture Notes in Networks and Systems, vol 776. Springer, Cham, 2023.- pp. 250-259.; Seventh International Scientific Conference “Intelligent Information Technologies for Industry” ; Conference date: 25-09-2023 Through 30-09-2023",
year = "2023",
doi = "10.1007/978-3-031-43789-2_23",
language = "English",
isbn = "978-3-031-43788-5",
series = "Lecture Notes in Networks and Systems",
publisher = "Springer Nature",
number = "23",
pages = "250--259",
editor = "Kovalev, {Sergey } and Sukhanov, {Andrey } and Kotenko, {Igor }",
booktitle = "Proceedings of the Seventh International Scientific Conference “Intelligent Information Technologies for Industry” (IITI{\textquoteright}23). IITI 2023",
address = "Germany",
url = "https://link.springer.com/book/10.1007/978-3-031-43789-2, https://iiti.rgups.ru/en/",

}

RIS

TY - GEN

T1 - Ontology-based Methodology for Knowledge Maps Design

AU - Гаврилова, Татьяна Альбертовна

AU - Алканова, Ольга Николаевна

AU - Кузнецова, Анна Вениаминовна

N1 - Conference code: 7

PY - 2023

Y1 - 2023

N2 - Visualization of corporate knowledge in organizations creates thepotential for a significant improvement in the quality of decision making andmanagementefficiency. However, at the moment there is little correlation between theneeds of enterprises and new technologies in the field of knowledge engineering.Models and methods of knowledge visualization are not yet mature enough tosolve practical problems of information and knowledge management. This is especiallytrue for knowledge-intensive enterprises and organizations, universities, andresearch institutes. The paper presents a new methodology for the knowledge andcompetences mapping of the faculty members (or any employees). The methodologyis supported by the ontology-based approach and significantly expandsthe traditional knowledge engineering palette of methods. Ontologies as conceptualmodels of the subject areas are one of the most promising approaches to thedevelopment of knowledge bases and knowledge graphs. The importance of ontologyengineering is rapidly gaining the new adopters. The proposed methodologyconsists of 4 main meta-steps to create a knowledge map:• Set of ontologies design (ON);• Knowledge elicitation for ontology population (E);• Visual knowledge mapping (VI);• Knowledge map justification and dissemination (D).The proposed ONE-VID approach was implemented at Graduate School ofManagement in Saint-Petersburg State University for the sample of 63 facultymembers. Several types of K-maps were designed and developed – treemaps,radars, knowledge profiles, etc.The paper describes the new methodology and illustrates the first results. Thesubsequent longitude study plan is considered that will give the possibility tocompare the specific knowledge profiles and gaps as time passes.

AB - Visualization of corporate knowledge in organizations creates thepotential for a significant improvement in the quality of decision making andmanagementefficiency. However, at the moment there is little correlation between theneeds of enterprises and new technologies in the field of knowledge engineering.Models and methods of knowledge visualization are not yet mature enough tosolve practical problems of information and knowledge management. This is especiallytrue for knowledge-intensive enterprises and organizations, universities, andresearch institutes. The paper presents a new methodology for the knowledge andcompetences mapping of the faculty members (or any employees). The methodologyis supported by the ontology-based approach and significantly expandsthe traditional knowledge engineering palette of methods. Ontologies as conceptualmodels of the subject areas are one of the most promising approaches to thedevelopment of knowledge bases and knowledge graphs. The importance of ontologyengineering is rapidly gaining the new adopters. The proposed methodologyconsists of 4 main meta-steps to create a knowledge map:• Set of ontologies design (ON);• Knowledge elicitation for ontology population (E);• Visual knowledge mapping (VI);• Knowledge map justification and dissemination (D).The proposed ONE-VID approach was implemented at Graduate School ofManagement in Saint-Petersburg State University for the sample of 63 facultymembers. Several types of K-maps were designed and developed – treemaps,radars, knowledge profiles, etc.The paper describes the new methodology and illustrates the first results. Thesubsequent longitude study plan is considered that will give the possibility tocompare the specific knowledge profiles and gaps as time passes.

U2 - 10.1007/978-3-031-43789-2_23

DO - 10.1007/978-3-031-43789-2_23

M3 - Conference contribution

SN - 978-3-031-43788-5

T3 - Lecture Notes in Networks and Systems

SP - 250

EP - 259

BT - Proceedings of the Seventh International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’23). IITI 2023

A2 - Kovalev, Sergey

A2 - Sukhanov, Andrey

A2 - Kotenko, Igor

PB - Springer Nature

T2 - Seventh International Scientific Conference “Intelligent Information Technologies for Industry”

Y2 - 25 September 2023 through 30 September 2023

ER -

ID: 118316477