goldMEDAL : une nouvelle contribution {\`a} la mod{\'e}lisation g{\'e}n{\'e}rique des m{\'e}tadonn{\'e}es des lacs de donn{\'e}es
Etienne Scholly (ERIC), Pegdwend\'e Sawadogo (ERIC), Pengfei Liu, (ERIC), Javier Espinosa-Oviedo (ERIC), C\'ecile Favre (ERIC), Sabine Loudcher, (ERIC), J\'er\^ome Darmont (ERIC), Camille No\^us
TL;DR
The paper introduces goldMEDAL, a comprehensive metadata model designed for data lakes, structured across three levels and based on four core concepts, to improve data management and interoperability.
Contribution
It presents a novel, generic metadata modeling framework for data lakes, encompassing conceptual, logical, and physical levels, enhancing data organization and retrieval.
Findings
Proposes a three-level metadata model for data lakes.
Defines four core concepts for metadata modeling.
Aims to improve data management in data lakes.
Abstract
We summarize here a paper published in 2021 in the DOLAP international workshop DOLAP associated with the EDBT and ICDT conferences. We propose goldMEDAL, a generic metadata model for data lakes based on four concepts and a three-level modeling: conceptual, logical and physical.
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Taxonomy
TopicsSemantic Web and Ontologies · Biomedical Text Mining and Ontologies · Data Quality and Management