Designing and Using Linguistic Ontologies in Intelligent Training Systems

EasyChair Preprint 7611

Abstract

The article discusses models and methods of knowledge representation in intelligent training systems, focused on the tasks of automatic processing of educational content and extracting the necessary information from it. The proposed approach considers extracting information from the educational content of the corresponding training course supported by an intelligent training system as a process of filling ontologies with information presented in the form of instances of domain concepts. To describe this process, appropriate models are proposed, in particular, such as a model for presenting educational content, a model for representing knowledge of an intelligent training system, and ontological models of facts.

Keyphrases: Information Extraction, Intelligent training system, educational content, ontological model

@booklet{EasyChair:7611,
  author    = {Olha Tkachenko and Kostiantyn Tkachenko and Oleksandr Tkachenko},
  title     = {Designing and Using Linguistic Ontologies in Intelligent Training Systems},
  howpublished = {EasyChair Preprint 7611},
  year      = {EasyChair, 2022}}