Semantic methods of intelligent assistant developing

Semantic methods of intelligent assistant developing Full article

Conference

International Symposium on Knowledge, Ontology, and Theory
04-04 Dec 2021 , Новосибирск, Россия

Source

International Symposium on Knowledge, Ontology, and Theory (KNOTH)
Compilation, 2021. 114 c.

Output data

Year: 2021, Pages: 30-35 Pages count : 6 DOI: 10.1109/KNOTH54462.2021.9686335

Tags

argumentation theory; case-based reasoning; Intelligent assistant; intent recognition; machine learning; natural language processing; ontology

Authors

Palchunov D. ¹ , Tregubov A.S. ²

Affiliations

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

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.

Palchunov D. , Tregubov A.S.
Semantic methods of intelligent assistant developing
In compilation International Symposium on Knowledge, Ontology, and Theory (KNOTH). 2021. – C.30-35. DOI: 10.1109/KNOTH54462.2021.9686335 Scopus OpenAlex

Scopus:	2-s2.0-85126804899
OpenAlex:	W4210610680

DB	Citing
Scopus	2
OpenAlex	2