research-article

Dialogue System for Service Desk of Complex Software Systems Based on Relational Concept Analysis

Authors:

Artem Beresnev,

Aleksandr Zhdankin,

Artem Lobantsev,

Artem Vasiliev,

Nikolay Vedernikov,

Natalia GusarovaAuthors Info & Claims

ICGDA '19: Proceedings of the 2019 2nd International Conference on Geoinformatics and Data Analysis

Pages 31 - 36

https://doi.org/10.1145/3318236.3318258

Published: 15 March 2019 Publication History

Abstract

Dialogue, known as the most important means of social communication, is now becoming an indispensable means of supporting business processes in various fields, including service desk. In order to automate dialogue intellectual software entities (bots) are increasingly being used. When building user-initiative dialogue systems for complex domains, like service of complex digital devices, a lot of problems arise. The article proposes a method of automation of dialog system for user technical support in the field of complex digital systems. In order to represent conceptual knowledge of the domain, Relational Concept Analysis (RCA) is used. The system that implements the method is proposed, the results of the experimental verification are given.

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Cited By

Beresnev AGusarova N(2021)Comparison of Intelligent Classification Algorithms for Workplace Learning System in High-Tech Service-Oriented CompaniesDigital Transformation and Global Society10.1007/978-3-030-65218-0_27(363-372)Online publication date: 9-Jan-2021
https://doi.org/10.1007/978-3-030-65218-0_27

Index Terms

Dialogue System for Service Desk of Complex Software Systems Based on Relational Concept Analysis
1. Software and its engineering
  1. Software creation and management
    1. Designing software
      1. Software design engineering

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cover image ACM Other conferences

ICGDA '19: Proceedings of the 2019 2nd International Conference on Geoinformatics and Data Analysis

March 2019

156 pages

ISBN:9781450362450

DOI:10.1145/3318236

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Department of Informatics, University of Oslo

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 March 2019

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ICGDA 2019

ICGDA 2019: 2019 2nd International Conference on Geoinformatics and Data Analysis & 2019 2nd International Conference on Software and Services Engineering

March 15 - 17, 2019

Prague, Czech Republic

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Cited By

Beresnev AGusarova N(2021)Comparison of Intelligent Classification Algorithms for Workplace Learning System in High-Tech Service-Oriented CompaniesDigital Transformation and Global Society10.1007/978-3-030-65218-0_27(363-372)Online publication date: 9-Jan-2021
https://doi.org/10.1007/978-3-030-65218-0_27

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