INTELLIGENT LEARNING SYSTEMS: TRANSFORMING TABULAR DATA OF EDUCATIONAL CONTENT IN THE ONTOLOGICAL MODEL
DOI:
https://doi.org/10.28925/2663-4023.2025.31.1043Keywords:
tabular data, data transformation, ontology, ontological model, information learning systemm, information learning system with elements of intellectualization, educational contentAbstract
The paper proposes to automate the process of forming ontologies based on the analysis and transformation of tabular data of complex structures, which is educational content in modern intelligent (or information system with elements of intellectualization) learning systems. An approach is presented that ensures the restoration of the semantics of tabular data, as well as conceptualization and the formalization of the tabular content of educational content in the form of an ontology. The main stages of the approach are given. The described tools can be used to solve practical problems of providing educational content in information learning systems. The educational content presented in the form of tables of the system database was used as the initial data. The proposed approach is advisable to use for prototyping subject ontologies.
This article examines the creation of intelligent learning systems, taking into account all the opportunities offered by transforming tabularly defined educational content into corresponding multi-level ontological model. Hroposed ontological approach enables the implementation of learning processes by supporting the shared use of common educational content stored in tabular form using ontological model. This article analyzes the main challenges of representing complex tabular data in ontological model used to describe educational content. It is proposed to use hybrid ontology construction methods, table analysis, and logical and heuristic approaches to defining entities and key columns for analyzing and processing such data.
Ontology can be constructed for a specific topic of a studied academic discipline using similar data from various sources. This approach will allow for the reflection of diverse conceptual formulations, take into account diverse perspectives, and eliminate the subjectivity of a specific source. Using semantic dictionaries allows for the unification of virtually any dataset into a single ontology for further solving various problems related to the educational process.
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