Development of Automated Methods for the Domain Ontology Population with the Help of a Virtual Assistant Научная публикация
| Сборник | 22nd IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2021 Сборник, IEEE. 2021. 585 c. |
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| Вых. Данные | Год: 2021, Том: 2021-June, Номер статьи : 9507641, Страниц : 5 DOI: 10.1109/EDM52169.2021.9507641 | ||||
| Ключевые слова | chatbot; conversational agent; knowledge extraction; model-theoretical methods; named entity recognition; ontological model; ontology; virtual assistant | ||||
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Реферат:
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. © 2021 IEEE.
Библиографическая ссылка:
Orlovsky A.
, Palchunov D.
Development of Automated Methods for the Domain Ontology Population with the Help of a Virtual Assistant
В сборнике 22nd IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2021. – IEEE., 2021. – C.537-541. DOI: 10.1109/EDM52169.2021.9507641 Scopus OpenAlex
Development of Automated Methods for the Domain Ontology Population with the Help of a Virtual Assistant
В сборнике 22nd IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2021. – IEEE., 2021. – C.537-541. DOI: 10.1109/EDM52169.2021.9507641 Scopus OpenAlex
Идентификаторы БД:
| Scopus: | 2-s2.0-85113523968 |
| OpenAlex: | W3194360242 |