Automation of Service Desk: Knowledge Management Perspective
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24310%2F21%3A00008948" target="_blank" >RIV/46747885:24310/21:00008948 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.5220/0010693100003064" target="_blank" >http://dx.doi.org/10.5220/0010693100003064</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0010693100003064" target="_blank" >10.5220/0010693100003064</a>
Alternative languages
Result language
angličtina
Original language name
Automation of Service Desk: Knowledge Management Perspective
Original language description
In the current times, the need for quality and effective service support technologies is high. We can achieve good IT service operations that support good knowledge management practices by employing automation techniques and methods to the Service Desk systems. In our position paper, we look at the literature regarding Service Desk automation in relation to knowledge management. We then propose a theoretical model of Automatized Service Desk Systems that uses several techniques to help and automatize the process of user request resolution. Our proposed system employs text mining techniques, a virtual agent, an expert system, a customer intent detector, and a ticketing system.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS
ISBN
978-989-758-533-3
ISSN
2184-3228
e-ISSN
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Number of pages
7
Pages from-to
204-210
Publisher name
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Place of publication
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Event location
online
Event date
Jan 1, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000796476100023