КФУ. Карточка публикации. Intelligent search in Big Data

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INTELLIGENT SEARCH IN BIG DATA

Форма представления

Статьи в зарубежных журналах и сборниках

Год публикации

2017

Язык

английский

Авторы, сотрудники КФУ

Бухараев Наиль Раисович, автор

Гусенков Александр Михайлович, автор

Другие авторы

Биряльцев Евгений Васильевич, автор

Библиографическое описание на языке оригинала

E Birialtsev, N Bukharaev and A Gusenkov. Intelligent search in Big Data. // Journal of Physics: Conference Series, Volume 913, conference 1, Published online: 25 October 2017.

Аннотация

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.

Ключевые слова

ontologies, integration, SCL generation

Название журнала

Journal of Physics: Conference Series

URL

http://iopscience.iop.org/article/10.1088/1742-6596/913/1/012010/meta

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https://repository.kpfu.ru/?p_id=170086

Полная запись метаданных

Поле DC	Значение	Язык
dc.contributor.author	Бухараев Наиль Раисович	ru_RU
dc.contributor.author	Гусенков Александр Михайлович	ru_RU
dc.contributor.author	Биряльцев Евгений Васильевич	ru_RU
dc.date.accessioned	2017-01-01T00:00:00Z	ru_RU
dc.date.available	2017-01-01T00:00:00Z	ru_RU
dc.date.issued	2017	ru_RU
dc.identifier.citation	E Birialtsev, N Bukharaev and A Gusenkov. Intelligent search in Big Data. // Journal of Physics: Conference Series, Volume 913, conference 1, Published online: 25 October 2017.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/?p_id=170086	ru_RU
dc.description.abstract	Journal of Physics: Conference Series	ru_RU
dc.description.abstract	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.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	ontologies	ru_RU
dc.subject	integration	ru_RU
dc.subject	SCL generation	ru_RU
dc.title	Intelligent search in Big Data	ru_RU
dc.type	Статьи в зарубежных журналах и сборниках	ru_RU