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Development of an Intelligent Assistant for Document Automation. / Palchunov, Dmitry E.; Chernyavtseva, Svetlana I.

Proceedings of the 2023 IEEE 16th International Scientific and Technical Conference Actual Problems of Electronic Instrument Engineering, APEIE 2023. Institute of Electrical and Electronics Engineers (IEEE), 2023. p. 1470-1475.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Palchunov, DE & Chernyavtseva, SI 2023, Development of an Intelligent Assistant for Document Automation. in Proceedings of the 2023 IEEE 16th International Scientific and Technical Conference Actual Problems of Electronic Instrument Engineering, APEIE 2023. Institute of Electrical and Electronics Engineers (IEEE), pp. 1470-1475, 16th IEEE International Scientific and Technical Conference Actual Problems of Electronic Instrument Engineering, Новосибирск, Russian Federation, 10.11.2023. https://doi.org/10.1109/apeie59731.2023.10347691

APA

Palchunov, D. E., & Chernyavtseva, S. I. (2023). Development of an Intelligent Assistant for Document Automation. In Proceedings of the 2023 IEEE 16th International Scientific and Technical Conference Actual Problems of Electronic Instrument Engineering, APEIE 2023 (pp. 1470-1475). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/apeie59731.2023.10347691

Vancouver

Palchunov DE, Chernyavtseva SI. Development of an Intelligent Assistant for Document Automation. In Proceedings of the 2023 IEEE 16th International Scientific and Technical Conference Actual Problems of Electronic Instrument Engineering, APEIE 2023. Institute of Electrical and Electronics Engineers (IEEE). 2023. p. 1470-1475 doi: 10.1109/apeie59731.2023.10347691

Author

Palchunov, Dmitry E. ; Chernyavtseva, Svetlana I. / Development of an Intelligent Assistant for Document Automation. Proceedings of the 2023 IEEE 16th International Scientific and Technical Conference Actual Problems of Electronic Instrument Engineering, APEIE 2023. Institute of Electrical and Electronics Engineers (IEEE), 2023. pp. 1470-1475

BibTeX

@inproceedings{ac1320e2f0704ba990b55a90b9571944,
title = "Development of an Intelligent Assistant for Document Automation",
abstract = "The article is devoted to development of mathematical methods for formal modeling of business processes and their use in creation of intelligent assistants. These methods are based on the use of ontologies, partial models and their ontological homomorphisms. Partial model theory is applied for the organization and structuring of the document automation. Development of intelligent assistant which can automate the process of creating documents is one of the tasks. As example we consider document automation at the university department. To achieve this goal an ontological model was developed and templates for various types of documents were created. The flexibility of the ontological model makes it easy to adapt the document process to changing regulations. Special attention is paid to the problem of finding and eliminating contradictions in documents. An approach based on neural networks and logic semantic methods was considered to automate the process of identifying and resolving contradictions in texts.",
author = "Palchunov, {Dmitry E.} and Chernyavtseva, {Svetlana I.}",
note = "The study was carried out within the framework of the state contract of the Sobolev Institute of Mathematics (project no. FWNF-2022-0011).; 16th IEEE International Scientific and Technical Conference Actual Problems of Electronic Instrument Engineering, APEIE 2023 ; Conference date: 10-11-2023 Through 12-11-2023",
year = "2023",
doi = "10.1109/apeie59731.2023.10347691",
language = "English",
isbn = "9798350330885",
pages = "1470--1475",
booktitle = "Proceedings of the 2023 IEEE 16th International Scientific and Technical Conference Actual Problems of Electronic Instrument Engineering, APEIE 2023",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

}

RIS

TY - GEN

T1 - Development of an Intelligent Assistant for Document Automation

AU - Palchunov, Dmitry E.

AU - Chernyavtseva, Svetlana I.

N1 - Conference code: 16

PY - 2023

Y1 - 2023

N2 - The article is devoted to development of mathematical methods for formal modeling of business processes and their use in creation of intelligent assistants. These methods are based on the use of ontologies, partial models and their ontological homomorphisms. Partial model theory is applied for the organization and structuring of the document automation. Development of intelligent assistant which can automate the process of creating documents is one of the tasks. As example we consider document automation at the university department. To achieve this goal an ontological model was developed and templates for various types of documents were created. The flexibility of the ontological model makes it easy to adapt the document process to changing regulations. Special attention is paid to the problem of finding and eliminating contradictions in documents. An approach based on neural networks and logic semantic methods was considered to automate the process of identifying and resolving contradictions in texts.

AB - The article is devoted to development of mathematical methods for formal modeling of business processes and their use in creation of intelligent assistants. These methods are based on the use of ontologies, partial models and their ontological homomorphisms. Partial model theory is applied for the organization and structuring of the document automation. Development of intelligent assistant which can automate the process of creating documents is one of the tasks. As example we consider document automation at the university department. To achieve this goal an ontological model was developed and templates for various types of documents were created. The flexibility of the ontological model makes it easy to adapt the document process to changing regulations. Special attention is paid to the problem of finding and eliminating contradictions in documents. An approach based on neural networks and logic semantic methods was considered to automate the process of identifying and resolving contradictions in texts.

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85182268068&origin=inward&txGid=579c987b05e66f5eb8e8598ff65d437d

UR - https://www.mendeley.com/catalogue/7bac9c20-1d23-3891-a8ba-c5da729e91f3/

U2 - 10.1109/apeie59731.2023.10347691

DO - 10.1109/apeie59731.2023.10347691

M3 - Conference contribution

SN - 9798350330885

SP - 1470

EP - 1475

BT - Proceedings of the 2023 IEEE 16th International Scientific and Technical Conference Actual Problems of Electronic Instrument Engineering, APEIE 2023

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 16th IEEE International Scientific and Technical Conference Actual Problems of Electronic Instrument Engineering

Y2 - 10 November 2023 through 12 November 2023

ER -

ID: 59613908