Development of Automated Methods for the Domain Ontology Population with the Help of a Virtual Assistant Full article
| Source | 22nd IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2021 Compilation, IEEE. 2021. 585 c. |
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| Output data | Year: 2021, Volume: 2021-June, Article number : 9507641, Pages count : 5 DOI: 10.1109/EDM52169.2021.9507641 | ||||
| Tags | chatbot; conversational agent; knowledge extraction; model-theoretical methods; named entity recognition; ontological model; ontology; virtual assistant | ||||
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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. © 2021 IEEE.
Cite:
Orlovsky A.
, Palchunov D.
Development of Automated Methods for the Domain Ontology Population with the Help of a Virtual Assistant
In compilation 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
In compilation 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
Identifiers:
| Scopus: | 2-s2.0-85113523968 |
| OpenAlex: | W3194360242 |