@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",
}