Fuzzy Ontology-based Identification and Interpretation of Uncertain and Imprecise Novice User Requests Approach

Omri Mohamed Nazih

Omri Mohamed Nazih MARS Research Laboratory, University of Sousse Department of Applied Computer, National School of Engineering of Sousse, Tunisia

Abstract

Assistance with the use of technical devices is required as soon as the tasks become complex. This assistance is also needed as soon as we provide users with solutions to incidents that occur during the application of unsuitable procedures. The goal of this work is then to provide a knowledge extraction approach that can interpret and identify user requests as valid system requests, thereby responding appropriately to novice user requests. This approach is based on a fuzzy semantic network for modelling imprecise and uncertain knowledge and the automatic construction of a temporary fuzzy ontology for identifying and interpreting user requests. The proposed approach has the advantage of integrating the notion of uncertain and imprecise knowledge into the representation of system objects and procedures. The experimental results show the feasibility, efficiency and effectiveness of our approach.

References

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