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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National Research Nuclear University (MEPhI)
2019-09-01
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Series: | Nuclear Energy and Technology |
Online Access: | https://nucet.pensoft.net/article/39226/download/pdf/ |
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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.
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url |
https://nucet.pensoft.net/article/39226/download/pdf/ |
work_keys_str_mv |
AT victortelnov semanticwebandknowledgegraphsasaneducationaltechnologyofpersonneltrainingfornuclearpowerengineering AT yurikorovin semanticwebandknowledgegraphsasaneducationaltechnologyofpersonneltrainingfornuclearpowerengineering |
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