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dc.contributor.author Birialtsev E.
dc.contributor.author Bukharaev N.
dc.contributor.author Gusenkov A.
dc.date.accessioned 2018-04-05T07:09:58Z
dc.date.available 2018-04-05T07:09:58Z
dc.date.issued 2017
dc.identifier.issn 1742-6588
dc.identifier.uri http://dspace.kpfu.ru/xmlui/handle/net/130095
dc.description.abstract © Published under licence by IOP Publishing Ltd. An approach to data integration, aimed on the ontology-based intelligent search in Big Data, is considered in the case when information objects are represented in the form of relational databases (RDB), structurally marked by their schemes. The source of information for constructing an ontology and, later on, the organization of the search are texts in natural language, treated as semi-structured data. For the RDBs, these are comments on the names of tables and their attributes. Formal definition of RDBs integration model in terms of ontologies is given. Within framework of the model universal RDB representation ontology, oil production subject domain ontology and linguistic thesaurus of subject domain language are built. Technique of automatic SQL queries generation for subject domain specialists is proposed. On the base of it, information system for TATNEFT oil-producing company RDBs was implemented. Exploitation of the system showed good relevance with majority of queries.
dc.relation.ispartofseries Journal of Physics: Conference Series
dc.title Intelligent search in Big Data
dc.type Conference Paper
dc.relation.ispartofseries-issue 1
dc.relation.ispartofseries-volume 913
dc.collection Публикации сотрудников КФУ
dc.source.id SCOPUS17426588-2017-913-1-SID85034249340


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  • Публикации сотрудников КФУ Scopus [24551]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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