TY - GEN

T1 - Automated Methods of Dialog with the User to Conduct an Interview

AU - Palchunov, Dmitry E.

AU - Zaitsev, Alexander

N1 - Conference code: 25

PY - 2024

Y1 - 2024

N2 - The article is devoted to the methods of creating intelligent assistants. An intellectual assistant for interviewing candidates for available vacancies of enterprises is developed. When creating intellectual assistants the model-theoretic approach based on formal representation of precedents of subject areas in the form of partial models is applied. Knowledge about situations is formally represented in the form of fragments of atomic diagrams of algebraic systems. In order to solve the problems of hiring new employees of companies, a software system is developed, designed to conduct automated initial testing of knowledge, skills of candidates, as well as assessment of their competencies. The purpose of the work is to build a module of the intellectual assistant, which performs processing and analysis of the received user's answer, selection of the next question for the candidate and control over the interview process. The created program complex is a link of the developed system, and can also be used in other subject domains and on other platforms. In the work of the intellectual assistant a four-level ontological model of the subject domain is used. The implemented methods of knowledge processing are based on the use of partial models and their ontological homomorphisms. The system provides the possibility of automated identification of knowledge, skills and competencies of candidates, allowing qualified specialists to save effort and time.

AB - The article is devoted to the methods of creating intelligent assistants. An intellectual assistant for interviewing candidates for available vacancies of enterprises is developed. When creating intellectual assistants the model-theoretic approach based on formal representation of precedents of subject areas in the form of partial models is applied. Knowledge about situations is formally represented in the form of fragments of atomic diagrams of algebraic systems. In order to solve the problems of hiring new employees of companies, a software system is developed, designed to conduct automated initial testing of knowledge, skills of candidates, as well as assessment of their competencies. The purpose of the work is to build a module of the intellectual assistant, which performs processing and analysis of the received user's answer, selection of the next question for the candidate and control over the interview process. The created program complex is a link of the developed system, and can also be used in other subject domains and on other platforms. In the work of the intellectual assistant a four-level ontological model of the subject domain is used. The implemented methods of knowledge processing are based on the use of partial models and their ontological homomorphisms. The system provides the possibility of automated identification of knowledge, skills and competencies of candidates, allowing qualified specialists to save effort and time.

KW - Argumented Dialog

KW - Intelligent Assistant

KW - Knowledge Extraction

KW - Natural Language Processing

KW - Ontological Homomorphism

KW - Ontology

KW - Partial Model

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85201977376&origin=inward&txGid=fb1c61bf2ade4bae2b71f79dd4606e94

UR - https://www.mendeley.com/catalogue/09f2391f-06d0-3f71-8bcb-38fc690fddac/

U2 - 10.1109/EDM61683.2024.10615104

DO - 10.1109/EDM61683.2024.10615104

M3 - Conference contribution

SN - 9798350389234

T3 - International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM

SP - 2360

EP - 2365

BT - International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM

PB - IEEE Computer Society

T2 - 25th IEEE International Conference of Young Professionals in Electron Devices and Materials

Y2 - 28 June 2024 through 2 July 2024

ER -