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Development of Automated Methods for the Domain Ontology Population with the Help of a Virtual Assistant. / Orlovsky, Andrey; Palchunov, Dmitriy.

2021 IEEE 22nd International Conference of Young Professionals in Electron Devices and Materials, EDM 2021 - Proceedings. IEEE Computer Society, 2021. p. 537-541 9507641 (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM; Vol. 2021-June).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Orlovsky, A & Palchunov, D 2021, Development of Automated Methods for the Domain Ontology Population with the Help of a Virtual Assistant. in 2021 IEEE 22nd International Conference of Young Professionals in Electron Devices and Materials, EDM 2021 - Proceedings., 9507641, International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM, vol. 2021-June, IEEE Computer Society, pp. 537-541, 22nd IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2021, Aya, Altai Region, Russian Federation, 30.06.2021. https://doi.org/10.1109/EDM52169.2021.9507641

APA

Orlovsky, A., & Palchunov, D. (2021). Development of Automated Methods for the Domain Ontology Population with the Help of a Virtual Assistant. In 2021 IEEE 22nd International Conference of Young Professionals in Electron Devices and Materials, EDM 2021 - Proceedings (pp. 537-541). [9507641] (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM; Vol. 2021-June). IEEE Computer Society. https://doi.org/10.1109/EDM52169.2021.9507641

Vancouver

Orlovsky A, Palchunov D. Development of Automated Methods for the Domain Ontology Population with the Help of a Virtual Assistant. In 2021 IEEE 22nd International Conference of Young Professionals in Electron Devices and Materials, EDM 2021 - Proceedings. IEEE Computer Society. 2021. p. 537-541. 9507641. (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM). doi: 10.1109/EDM52169.2021.9507641

Author

Orlovsky, Andrey ; Palchunov, Dmitriy. / Development of Automated Methods for the Domain Ontology Population with the Help of a Virtual Assistant. 2021 IEEE 22nd International Conference of Young Professionals in Electron Devices and Materials, EDM 2021 - Proceedings. IEEE Computer Society, 2021. pp. 537-541 (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM).

BibTeX

@inproceedings{94f8ec470a054200867d94c2ca04f83b,
title = "Development of Automated Methods for the Domain Ontology Population with the Help of a Virtual Assistant",
abstract = "In the paper, we consider the use of a virtual assistant with a natural language interface for the task of population of the OWL ontology of computer equipment products based on the information provided on the websites of online stores. The practical value of the work is to provide the user with the opportunity to search for the required products simultaneously on several sites based on a search query described in natural language.",
keywords = "chatbot, conversational agent, knowledge extraction, model-theoretical methods, named entity recognition, ontological model, ontology, virtual assistant",
author = "Andrey Orlovsky and Dmitriy Palchunov",
note = "Funding Information: The research was funded by RFBR and Novosibirsk region, project number 20-47-540005. The study was carried out within the framework of the state contract of the Sobolev Institute of Mathematics (project no. 0314-2019-0002). Publisher Copyright: {\textcopyright} 2021 IEEE.; 22nd IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2021 ; Conference date: 30-06-2021 Through 04-07-2021",
year = "2021",
month = jun,
day = "30",
doi = "10.1109/EDM52169.2021.9507641",
language = "English",
series = "International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM",
publisher = "IEEE Computer Society",
pages = "537--541",
booktitle = "2021 IEEE 22nd International Conference of Young Professionals in Electron Devices and Materials, EDM 2021 - Proceedings",
address = "United States",

}

RIS

TY - GEN

T1 - Development of Automated Methods for the Domain Ontology Population with the Help of a Virtual Assistant

AU - Orlovsky, Andrey

AU - Palchunov, Dmitriy

N1 - Funding Information: The research was funded by RFBR and Novosibirsk region, project number 20-47-540005. The study was carried out within the framework of the state contract of the Sobolev Institute of Mathematics (project no. 0314-2019-0002). Publisher Copyright: © 2021 IEEE.

PY - 2021/6/30

Y1 - 2021/6/30

N2 - In the paper, we consider the use of a virtual assistant with a natural language interface for the task of population of the OWL ontology of computer equipment products based on the information provided on the websites of online stores. The practical value of the work is to provide the user with the opportunity to search for the required products simultaneously on several sites based on a search query described in natural language.

AB - In the paper, we consider the use of a virtual assistant with a natural language interface for the task of population of the OWL ontology of computer equipment products based on the information provided on the websites of online stores. The practical value of the work is to provide the user with the opportunity to search for the required products simultaneously on several sites based on a search query described in natural language.

KW - chatbot

KW - conversational agent

KW - knowledge extraction

KW - model-theoretical methods

KW - named entity recognition

KW - ontological model

KW - ontology

KW - virtual assistant

UR - http://www.scopus.com/inward/record.url?scp=85113523968&partnerID=8YFLogxK

U2 - 10.1109/EDM52169.2021.9507641

DO - 10.1109/EDM52169.2021.9507641

M3 - Conference contribution

AN - SCOPUS:85113523968

T3 - International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM

SP - 537

EP - 541

BT - 2021 IEEE 22nd International Conference of Young Professionals in Electron Devices and Materials, EDM 2021 - Proceedings

PB - IEEE Computer Society

T2 - 22nd IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2021

Y2 - 30 June 2021 through 4 July 2021

ER -

ID: 34173728