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Semantic methods of intelligent assistant developing Научная публикация

Конференция International Symposium on Knowledge, Ontology, and Theory
04-04 дек. 2021 , Новосибирск, Россия
Сборник International Symposium on Knowledge, Ontology, and Theory (KNOTH)
Сборник, 2021. 114 c.
Вых. Данные Год: 2021, Страницы: 30-35 Страниц : 6 DOI: 10.1109/KNOTH54462.2021.9686335
Ключевые слова argumentation theory; case-based reasoning; Intelligent assistant; intent recognition; machine learning; natural language processing; ontology
Авторы Palchunov D. 1 , Tregubov A.S. 2
Организации
1 Sobolev Institute of Mathematics, Laboratory of Computability Theory and Applied Logic, Novosibirsk, Russian Federation
2 Novosibirsk State University, Department of General Informatics, Novosibirsk, Russian Federation

Реферат: Human-computer interaction with people whose visual perception is limited is possible only with tactile and voice interfaces, the latter are being used more and more recently. The aim of the work is to create an intelligent assistant for an indoor navigation system designed for blind and visually impaired people. The development of an intelligent assistant is based on a semantic user model and a four-level ontological model of the subject domain. To build a dialogue between an intelligent assistant and a user, we use the theory of speech acts, argumentation theory and case-based reasoning. The developed software system is aimed at identifying the desires and user needs and proposing possible user actions aimed at achieving them. The system allows for the decomposition of user tasks and the formation of a sequence of their execution based on semantic models of the user and the subject domain. © 2021 IEEE.
Библиографическая ссылка: Palchunov D. , Tregubov A.S.
Semantic methods of intelligent assistant developing
В сборнике International Symposium on Knowledge, Ontology, and Theory (KNOTH). 2021. – C.30-35. DOI: 10.1109/KNOTH54462.2021.9686335 Scopus OpenAlex
Идентификаторы БД:
Scopus: 2-s2.0-85126804899
OpenAlex: W4210610680
Цитирование в БД:
БД Цитирований
Scopus 2
OpenAlex 2
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