KFU. Card publication. Intelligent search in Big Data

KAZAN
FEDERAL UNIVERSITY

- RUS
- 中文
- ES

INTELLIGENT SEARCH IN BIG DATA

Form of presentation

Articles in international journals and collections

Year of publication

2017

Язык

английский

Authors, employees of KFU

Bukharaev Nail Raisovich, author

Gusenkov Aleksandr Mikhaylovich, author

Other authors

Biryalcev Evgeniy Vasilevich, author

Bibliographic description in the original language

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.

Annotation

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.

Keywords

ontologies, integration, SCL generation

The name of the journal

Journal of Physics: Conference Series

URL

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

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=170086&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Bukharaev Nail Raisovich	ru_RU
dc.contributor.author	Gusenkov Aleksandr Mikhaylovich	ru_RU
dc.contributor.author	Biryalcev Evgeniy Vasilevich	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/eng/?p_id=170086&p_lang=2	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	Articles in international journals and collections	ru_RU