Application of ontological analysis for metadata processing in the interpretation of BIG DATA at the semantic level

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Datum:2020
Hauptverfasser: Yu. V. Rohushyna, Ya. Hladun
Format: Artikel
Sprache:Englisch
Veröffentlicht: 2020
Schriftenreihe:Problems in programming
Online Zugang:http://jnas.nbuv.gov.ua/article/UJRN-0001242372
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Назва журналу:Library portal of National Academy of Sciences of Ukraine | LibNAS

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Library portal of National Academy of Sciences of Ukraine | LibNAS
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author Yu. V. Rohushyna
Ya. Hladun
author_facet Yu. V. Rohushyna
Ya. Hladun
author_sort Yu. V. Rohushyna
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spelling open-sciencenbuvgovua-161272024-02-25T18:06:37Z Application of ontological analysis for metadata processing in the interpretation of BIG DATA at the semantic level Yu. V. Rohushyna Ya. Hladun 1727-4907 2020 en Problems in programming http://jnas.nbuv.gov.ua/article/UJRN-0001242372 Article
spellingShingle Problems in programming
Yu. V. Rohushyna
Ya. Hladun
Application of ontological analysis for metadata processing in the interpretation of BIG DATA at the semantic level
title Application of ontological analysis for metadata processing in the interpretation of BIG DATA at the semantic level
title_full Application of ontological analysis for metadata processing in the interpretation of BIG DATA at the semantic level
title_fullStr Application of ontological analysis for metadata processing in the interpretation of BIG DATA at the semantic level
title_full_unstemmed Application of ontological analysis for metadata processing in the interpretation of BIG DATA at the semantic level
title_short Application of ontological analysis for metadata processing in the interpretation of BIG DATA at the semantic level
title_sort application of ontological analysis for metadata processing in the interpretation of big data at the semantic level
url http://jnas.nbuv.gov.ua/article/UJRN-0001242372
work_keys_str_mv AT yuvrohushyna applicationofontologicalanalysisformetadataprocessingintheinterpretationofbigdataatthesemanticlevel
AT yahladun applicationofontologicalanalysisformetadataprocessingintheinterpretationofbigdataatthesemanticlevel