Open AccessConstruction and Visualization of the Ontology of the Educational Course for the Digital Information Space of the University
Author(s) -
O.N. Polovikova,
V.V. Shiryaev,
Denis Kozlov
Publication year - 2022
Publication title -
izvestiâ altajskogo gosudarstvennogo universiteta
Language(s) - English
Resource type - Journals
eISSN - 1561-9451
pISSN - 1561-9443
DOI - 10.14258/izvasu(2022)1-17
Subject(s) - computer science , ontology , set (abstract data type) , resource (disambiguation) , space (punctuation) , visualization , information space , representation (politics) , world wide web , javascript , knowledge representation and reasoning , course (navigation) , information retrieval , artificial intelligence , programming language , computer network , philosophy , epistemology , politics , political science , law , operating system , physics , astronomy
Despite the significant volume of educational courses published on the university's information portals, there is no full or partial mechanism for obtaining the necessary information in one place and an accessible form. Each course is a separate resource, without the ability to build logical connections (navigational transitions) between adjacent or sequential courses and courses of the same thematic cluster or subject area. The lack of systematization of e-courses does not allow realizing a full-fledged contextual search and navigation between related resources.
Within the framework of this study, the problem of constructing and presenting an ontology of an electronic course is considered. Applied solutions to this problem will significantly increase the constructiveness of existing services for working with training courses and provide a new set of opportunities based on the systematization of knowledge. As a structure of knowledge representation, it is proposed to use a structured set of concepts (terms) that describe the theoretical and practical aspects of the electronic course. Such a domain ontology is represented as a semantic network, which can be visualized by a specialized software tool or using a graphical library, for example, d3 for the JavaScript language.