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

Andrey Orlovsky, Dmitriy Palchunov

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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.

Original languageEnglish
Title of host publication2021 IEEE 22nd International Conference of Young Professionals in Electron Devices and Materials, EDM 2021 - Proceedings
PublisherIEEE Computer Society
Pages537-541
Number of pages5
ISBN (Electronic)9781665414982
DOIs
Publication statusPublished - 30 Jun 2021
Event22nd IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2021 - Aya, Altai Region, Russian Federation
Duration: 30 Jun 20214 Jul 2021

Publication series

NameInternational Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM
Volume2021-June
ISSN (Print)2325-4173
ISSN (Electronic)2325-419X

Conference

Conference22nd IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2021
CountryRussian Federation
CityAya, Altai Region
Period30.06.202104.07.2021

Keywords

  • chatbot
  • conversational agent
  • knowledge extraction
  • model-theoretical methods
  • named entity recognition
  • ontological model
  • ontology
  • virtual assistant

OECD FOS+WOS

  • 2.02.IQ ENGINEERING, ELECTRICAL & ELECTRONIC
  • 1.03.UH PHYSICS, ATOMIC, MOLECULAR & CHEMICAL
  • 1.03.SY OPTICS

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