07/2021 Proceedings

Grum, Marcus | Kotarski, David | Ambros, Maximilian | Biro, Tibebu | Krallmann, Hermann | Gronau, Norbert

Managing Knowledge of Intelligent Systems - The Design of a Chatbot Using Domain-Specific Knowledge


Since more and more business tasks are enabled by Artificial Intelligence (AI)-based techniques, the number of knowledge-intensive tasks increase as trivial tasks can be automated and non-trivial tasks demand human-machine interactions. With this, challenges regarding the management of knowledge workers and machines rise [9]. Furthermore, knowledge workers experience time pressure, which can lead to a decrease in output quality. Artificial Intelligence-based systems (AIS) have the potential to assist human workers in knowledge-intensive work. By providing a domain-specific language, contextual and situational awareness as well as their process embedding can be specified, which enables the management of human and AIS to ease knowledge transfer in a way that process time, cost and quality are improved significantly. This contribution outlines a framework to designing these systems and accounts for their implementation.

Kategorie Proceedings
Autoren Grum, Marcus; Kotarski, David; Ambros, Maximilian; Biro, Tibebu; Krallmann, Hermann; Gronau, Norbert
Erscheinungsort Cham
Datum 07/2021
Konferenztitel BMSD2021
pp. 78-96
Verlag Springer International Publishing
DOI 10.1007/978-3-030-79976-2_5
Keywords Domain-specific language, Morphologic box, Explainability