Development of the information system for semantic identification and documentation of the results of non-formal and informal education

S.M. Pryima, О.V. Strokan', D.V. Lubko, Yu.O. Lytvyn, N.І. Bilyk

Abstract


We analyse modern approaches to the interaction of the educational services market with the labour market through recognition of non-formal and informal learning outcomes. The authors prove the expediency of semantic technologies used for information processing at the knowledge level. ESCO classifier that combines services of the labour market and the educational market is examined in detail. This classifier allows jobseekers and employers from different EU member states to handle information on learning outcomes more efficiently. The analyzes of  practical ESCO classifier usage on example of the European Employment Service (EURES) demonstrates that  this approach provides all necessary information for jobseekers abroad. The ontological analysis is an efficient way to model the ideas of various subject domains and it allows to represent formally their semantics. Hence, the research analyzes the ontological model for this information system and its components; in particular, the authors provide the described content of the ESCO ontological model which consists of three elements – occupations, skills and qualifications. The paper offers an information system for semantic identification and documentation of non-formal and informal learning outcomes based on the ESCO ontological model. The authors select and analyze the main stages of the system development: an ontology scheme in the Protege editor is created; the process of integrating the ontology in the RDF-repository is described; the architecture and user interface of the suggested information system are developed. Semantic graphs database GraphDB is used for ontology storage. To implement the addition and modification of data in GraphDB repository, connectors are used. Access to the RDF-repository is provided with SPARQL query language, whose outcomes are represented as result sets or RDF-graphs. In addition, the research justifies the use of React framework for development of the information system user interface. The architecture and user interface of information system proposed in this research work allow to carry out the semantic identification and documentation of non-formal and informal learning outcomes. Thus, they increase the efficiency of managing the information about these outcomes.

Problems in programming 2020; 2-3: 11-21

 


Keywords


information system; learning outcomes; non-formal learning; informal learning; ocupation; competences; skills; ontology; ESCO; Semantic Web

Full Text:

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References


ESCO (European Skills, Competences, Qualifications and Occupations) URL:https://ec.europa.eu/esco/portal/home (дата звернення: 20.10.2019).

EURES. URL: http://ec.europa.eu/eures/ (дата звернення: 05.01.2020).

Pryima S. & Rogushina J. Semantic processing of information resources in the market. Information technology and training tools. 2018. Vol. 65. N 3. P. 337–355. (in Ukrainian).

Pryima S. & Rohushyna YU. & Strokan' О. Use of semantic technologies in the process of recognizing the outcomes of non-formal and informal learning. CEUR Workshop Proceedings. 2018. Vol. 2139. P. 226–235. (in Ukrainian). Available from: http://ceur-ws.org/Vol-2139/226-235.pdf

Pryima S. & Rogushina J. Development of methods for support of qualification frameworks transparency based on semantic technologies. Information Technologies and Learning Tools. 2017. Vol. 59. N 3. Р. 201–210. (in Ukrainian).

Palagin A. & Kriviy A. & Petrenko N. Ontological methods and means of processing subject knowledge: monograph. Lugansk: publishing house of VNU them. V. Dahl, 2012. 324 p. (in Ukrainian).

Palagin A. & Petrenko N. About the special features of incentive ontological models of subject areas. Control systems and computers. 2019. N 3. P. 23–37. (in Ukrainian).

Rogushina J. & Priyma S. Use of competence ontological model for matching of qualifications. Chemistry: Bulgarian Journal of Science Education. 2017. Vol. 26. N 2. P. 216–228. (in Bulgariа)

Zaripov A. & Tuzovskiy A. Development of a metadata storage system for semantic information system. Institute of Cybernetics of National Research Tomsk Polytechnic Institute. Tomsk, 2010. Р. 53–58. in Russian).

Rogushina J. & Pryima S. The use of ontologies and semantic web to provide for the transparency of qualifications frameworks. Eastern-European Journal of Enterprise Technologies. 2017. Vol. 1. N 2 (85). Р. 25–31. (in Ukrainian).

Shenchenko YE. & Shenchenko A. & Bogdan. Features of the construction of applied software systems based on ontological knowledge bases. ACS and automation devices: all-in. inter. scientific and technical Sat. Kharkiv: Publishing House of KNURE. 2011. Vol. 157. P. 36–41. (in Ukrainian).


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