Intelligent search in Big Data

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,...

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Bibliographic Details
Published inJournal of physics. Conference series Vol. 913; no. 1; pp. 12010 - 12017
Main Authors Birialtsev, E, Bukharaev, N, Gusenkov, A
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.10.2017
Subjects
Big Data
Data integration
Data search
Domain specific languages
Knowledge representation
Ontology
Physics
Queries
Relational data bases
Structured data
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Summary: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.
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ISSN:1742-6588
1742-6596
1742-6596
DOI:10.1088/1742-6596/913/1/012010