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Recovery of scientific data using Intelligent Distributed Data Warehouse
- Source :
- ANT/EDI40, REDICUC-Repositorio CUC, Corporación Universidad de la Costa, instacron:Corporación Universidad de la Costa
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- 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.
- Subjects :
- Information retrieval
business.industry
Computer science
Data management
meta-data
scientific data
intelligent distributed data warehouse
meta-search engine
Data warehouse
Metadata
recovery of information
Schema (psychology)
Computer data storage
General Earth and Planetary Sciences
business
Metasearch engine
General Environmental Science
Subjects
Details
- ISSN :
- 18770509
- Volume :
- 151
- Database :
- OpenAIRE
- Journal :
- Procedia Computer Science
- Accession number :
- edsair.doi.dedup.....0ac2fc2d9e325286669b5fa3fdf17d93