Semantic web and knowledge graphs as an educational technology of personnel training for nuclear power engineering

The technologies of knowledge representation and inference in an artificial intelligence system focused on the domain of nuclear physics and nuclear power engineering are considered. The possibilities of description logics and graph databases of nuclear knowledge for the generation...

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Main Authors: Victor Telnov, Yuri Korovin
Format: Article
Language:English
Published: National Research Nuclear University (MEPhI) 2019-09-01
Series:Nuclear Energy and Technology
Online Access:https://nucet.pensoft.net/article/39226/download/pdf/
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spelling doaj-b17601f95fcc42d499f0a4de3bcc16052020-11-25T02:06:20ZengNational Research Nuclear University (MEPhI)Nuclear Energy and Technology2452-30382019-09-015327328010.3897/nucet.5.3922639226Semantic web and knowledge graphs as an educational technology of personnel training for nuclear power engineeringVictor Telnov0Yuri Korovin1Institute for Nuclear Power EngineeringInstitute for Nuclear Power Engineering The technologies of knowledge representation and inference in an artificial intelligence system focused on the domain of nuclear physics and nuclear power engineering are considered. The possibilities of description logics and graph databases of nuclear knowledge for the generation of cognitive hypotheses, using in addition to deduction and other ways of reasoning, such as inductive inference and reasoning based on analogies, are discussed. The use of adequate description logic and measures of semantic similarity is substantiated. Interactive visual navigation and reasoning on the knowledge graphs are performed by means of special retrieval widgets and the smart RDF browser. Operations with semantic repositories are implemented on cloud platforms using SPARQL queries and RESTful services. The proposed software solutions are based on cloud computing using DBaaS and PaaS service models to ensure scalability of data warehouses and network services. Example of use of the offered technologies and software has been given. https://nucet.pensoft.net/article/39226/download/pdf/
collection DOAJ
language English
format Article
sources DOAJ
author Victor Telnov
Yuri Korovin
spellingShingle Victor Telnov
Yuri Korovin
Semantic web and knowledge graphs as an educational technology of personnel training for nuclear power engineering
Nuclear Energy and Technology
author_facet Victor Telnov
Yuri Korovin
author_sort Victor Telnov
title Semantic web and knowledge graphs as an educational technology of personnel training for nuclear power engineering
title_short Semantic web and knowledge graphs as an educational technology of personnel training for nuclear power engineering
title_full Semantic web and knowledge graphs as an educational technology of personnel training for nuclear power engineering
title_fullStr Semantic web and knowledge graphs as an educational technology of personnel training for nuclear power engineering
title_full_unstemmed Semantic web and knowledge graphs as an educational technology of personnel training for nuclear power engineering
title_sort semantic web and knowledge graphs as an educational technology of personnel training for nuclear power engineering
publisher National Research Nuclear University (MEPhI)
series Nuclear Energy and Technology
issn 2452-3038
publishDate 2019-09-01
description The technologies of knowledge representation and inference in an artificial intelligence system focused on the domain of nuclear physics and nuclear power engineering are considered. The possibilities of description logics and graph databases of nuclear knowledge for the generation of cognitive hypotheses, using in addition to deduction and other ways of reasoning, such as inductive inference and reasoning based on analogies, are discussed. The use of adequate description logic and measures of semantic similarity is substantiated. Interactive visual navigation and reasoning on the knowledge graphs are performed by means of special retrieval widgets and the smart RDF browser. Operations with semantic repositories are implemented on cloud platforms using SPARQL queries and RESTful services. The proposed software solutions are based on cloud computing using DBaaS and PaaS service models to ensure scalability of data warehouses and network services. Example of use of the offered technologies and software has been given.
url https://nucet.pensoft.net/article/39226/download/pdf/
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AT yurikorovin semanticwebandknowledgegraphsasaneducationaltechnologyofpersonneltrainingfornuclearpowerengineering
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