DOI: 10.17586/2226-1494-2018-18-2-286-298


M. A. Navrotskiy, N. A. Zhukova, D. I. Mouromtsev, N. G. Mustafin

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For citation: Navrotskiy M.A., Zhukova N.A., Mouromtsev D.I., Mustafin N.G. Design, development and maintenance methodology of domain semantic portals of scientific and technical information. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2018, vol. 18, no. 2, pp. 286–298 (in Russian). doi: 10.17586/2226-1494-2018-18-2-286-298


Subject of Research.The paper deals with the problem of development and support of educational processes through the creation of specialized semantic portals based on Linked Open Data. These portals contain the individual educational paths, and data and knowledge associated with these paths. The paper studies the problem of maintenance and support of individual educational paths in the technical domain.This isexactly the domain with the highestneed for the proposed portals. Method. Ontological engineering is chosen as a method of storage and presentation of data and knowledge for semantic portal. The basis for an educational individual path building is four-level hierarchical model, including the levels of encapsulation and composition of content, defined in terms of competences, as well as the levels of generation and composition of specific training programs. Competence modeling is performed in terms of graph theory, and SPARQL query language is used for data access. Main Results. Two semantic portals of scientific and technical information were developed with the use of the proposed methods: the first portal supports the educational process at ITMO University; the second portal supports Speech Technologies Center (STC). The results of experimental operation of the developed portals are considered. Practical Relevance. Implementing of the proposed approach and the use of the presented technique gives the possibility to develop domain semantic portals of scientific and technical information and apply them for acquiring of knowledge on individual educational paths by the user. The applied stack of technologies and methods makes it easy to adapt and reuse already developed elements of semantic portals for different domains.

Keywords: ontology, Linked Open Data, open data integration, open data search, LOD, SPARQL

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