Використання семантичних технологій у діяльності ЗВО: прикладний аспект

Abstract

The article considers the problem of using Big Data in a modern economics and public life. The volumes and complexity of information are growing rapidly, but modern technologies cannot ensure their effective use. There is a lag in technologies, methods, and practices for using Big Data. The imbalance can be changed by semantic technologies, characterized by a different approach to the processing and use of data. This approach is based on the use of knowledge. Proved that despite the rather long time of the existence of semantic technologies and semantic networks, there are many obstacles to their effective application. These are the problems of accessibility of semantic content, accessibility of ontologies, their evolution, scalability and multilingualism. And since far from all the data presented on the network is created in terms of semantic markup and is unlikely to be brought to it in the future, the problem of accessibility of semantic content is one of the main ones. The article shows the difference between the semantic network and the semantic Web, and also indicates the development technologies of the latter. As the subject of study, the module of the courses of the Alfred Nobel University was selected. The composition of a separate module or a separate course is examined in detail: data on the university, lecturer, data on the provision of the course and language of its teaching, acquired skills, abilities, results and the like. A graph of the module of courses has been built on the example of the Alfred Nobel University in terms of ontology, its individual, most significant classes – components are considered. The main classes, subclasses and their contents are considered, data types (date, text, URL) are indicated. The ontological scheme has been converted to the RDF format, such as is necessary for modelling data in the semantic network and further research. The prospects for further research on the application of the selected model for representing knowledge, using the query language, obtaining and interpreting data from other universities, etc. are determined. Keywords: semantic technologies, semantic networks, ontologies, CmapTools, course module graph.