Ontology-based Assessment Technique

Ontologies that describe the main concepts of the domains are used both for teaching and assessment techniques. The paper presents ontology- based approach to a student assessment. Students show their knowledge and understanding while creating ontologies. Such way of assessment gives advantages over traditional quizzes. The approach is illustrated by students’ test papers made them before and after course listening

Ontologies Development for IT Project Risk Management Teaching

The paper presents one practical approach aimed at developing teaching ontologies. The methodology that will scaffold the process of knowledge structuring and ontology design is described. Moreover, special stress should be placed on visual design as a powerful learning mind tool. The described process is used for developing of a practical ontology from the domain of IT project risk management

Ontology as mapping of material world

This paper reviews currently available approaches and methods of automated population and enrichment of ontologies or ontology-based knowledge bases by structured data stored in various heterogeneous sources. Advantages and disadvantages of each approach are pointed out. The results of the analysis allow concluding that the existing methods are not effective enough to solve practical problems. A new method suggested does not have any of the specified disadvantages. The suggested method allows integrating data from different types of sources and considering the distributed nature of data and the necessity of authentication during accessing network resources. The method also suggests a solution to the problem of integrated data conflict resolution so that it will reduce the complexity of populating and enriching ontologies using the collected data arrays, irrespective of the format in which data are stored or represented

Ontology design and individual cognitive peculiarities: A pilot study

The paper presents the main results of the KOMET (Knowledge and cOntent structuring via METhods of collaborative ontology design) project, which aims to develop a novel paradigm for knowledge structuring based on the interplay between cognitive psychology and ontology engineering. By the knowledge structure (a conceptual model) we define the main domain concepts and relations between them in the form of a graph, map or diagram. This approach considers individual cognitive styles and uses recent advances in knowledge engineering and conceptual structuring; it aims to create new, consistent and structurally holistic knowledge bases for various areas of science and technology. Two stages of research have been completed: research into correlations between the expert’s individual cognitive style and the peculiarities of the expert’s subject domain ontology development; and research into correlations between the expert’s individual cognitive style and the group ontology design (including design accomplished by groups of experts with either similar or different cognitive styles). The results of these research stages can be applied to organizing collaborative ontology design (especially for research and learning purposes), data structuring and other group analytical work. Implications for practice are briefly delineated

Comparison of integrable Blockchain technologies in the processes of digitalization of sectors of the national economy

Today all over the world digital technologies are a priority for the development of the healthcare sector. Digitalization increases the availability of medical services and improves their quality without a significant increase in healthcare costs, while the development of digital medicine is impossible without the participation of public and private partnerships. Russia has not become an exception, where several world-wide information and analytical projects are already being implemented, one of which is Blockchain technologies. However, the question of which Blockchain technology to use is still open. In this article, the authors compare the economic and technical characteristics of the three most popular Blockchain technologies that are used in the digitalization of healthcare and give their recommendations on the digitalization of the social insurance healthcare system in the Russian Federation