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Data Provenance for Biological Data Integration Systems

AUTHOR Dannaoui Abdul Rahman
PUBLISHER Edizioni Accademiche Italiane (06/03/2014)
PRODUCT TYPE Paperback (Paperback)

Description
The CEREALAB database is a web-based tool realized to help cereal breeders in choosing molecular markers associated to economically important phenotypic traits; it contains phenotypic and genotypic data obtained from the integration of available open source databases with the data obtained by the CEREALAB project. Information integration in the CEREALAB database is obtained by using the MOMIS (Mediator Environment for Multiple Information Sources) system. As a result of the wide use of the CEREALAB database, several extensions and Improvements were introduced and a new data entry module was implemented. Moreover, data provenance was introduced and partially implemented in the CEREALAB database. Data Provenance is particularly required in data integration systems, where information coming from different sources, potentially uncertain or even inconsistent with each other, is integrated. In this context, having the possibility to trace the lineage of specific data can help identify possible unexpected or questionable results.
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Product Details
ISBN-13: 9783639482430
ISBN-10: 3639482433
Binding: Paperback or Softback (Trade Paperback (Us))
Content Language: English
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Page Count: 112
Carton Quantity: 62
Product Dimensions: 6.00 x 0.27 x 9.00 inches
Weight: 0.39 pound(s)
Feature Codes: Illustrated
Country of Origin: US
Subject Information
BISAC Categories
Computers | Information Technology
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publisher marketing
The CEREALAB database is a web-based tool realized to help cereal breeders in choosing molecular markers associated to economically important phenotypic traits; it contains phenotypic and genotypic data obtained from the integration of available open source databases with the data obtained by the CEREALAB project. Information integration in the CEREALAB database is obtained by using the MOMIS (Mediator Environment for Multiple Information Sources) system. As a result of the wide use of the CEREALAB database, several extensions and Improvements were introduced and a new data entry module was implemented. Moreover, data provenance was introduced and partially implemented in the CEREALAB database. Data Provenance is particularly required in data integration systems, where information coming from different sources, potentially uncertain or even inconsistent with each other, is integrated. In this context, having the possibility to trace the lineage of specific data can help identify possible unexpected or questionable results.
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Paperback