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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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • 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

  • Number of pages

    7

  • Pages from-to

    204-210

  • Publisher name

  • Place of publication

  • Event location

    online

  • Event date

    Jan 1, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000796476100023