Recovery of scientific data using Intelligent Distributed Data Warehouse | Zendy

Amelec Viloria | Zendy; Dionicio NeiraRodado | Zendy; Omar Bonerge Píneda Lezama | Zendy

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Recovery of scientific data using Intelligent Distributed Data Warehouse

Author(s) -

Amelec Viloria,

Dionicio NeiraRodado,

Omar Bonerge Píneda Lezama

Publication year - 2019

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2019.04.180

Subject(s) - computer science , data warehouse , schema (genetic algorithms) , information retrieval , search engine , data publishing , database , data element , data mining , metadata , world wide web , publishing , political science , law

A Retrieval System requires several components that define its functionality and behavior. In the case of a meta-search engine for the retrieval of scientific data, a schema that defines the way to store such data is considered a necessary element for its evolution. Unified profiles have been developed for the data storage of the entities involved in the scientific data management, generated from the fact of publishing a scientific paper. Such profiles are considered the beginning of the generation of new components for the meta-search engine that, using the proprietary information, can deliver information relevant for the user of the tool. To this end, the use of an intelligent distributed data warehouse is proposed.

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