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Abstraction in Data Integration

Abstract : Data integration provides a unified and abstract view over a set of existing data sources. The typical architecture of a data integration system comprises the global schema, which is the structure for the unified view, the source schema, and the mapping, which is a formal account of how data at the sources relate to the global view. Most of the research work on data integration in the last decades deals with the problem of processing a query expressed on the global schema by computing a suitable query over the sources, and then evaluating the latter in order to derive the answers to the original query. Here, we address a novel issue in data integration: starting from a query expressed over the sources, the goal is to find an abstraction of such query, i.e., a query over the global schema that captures the original query, modulo the mapping. The goal of the paper is to provide an overview of the notion of abstraction in data integration, by presenting a formal framework, illustrating the results that have appeared in the recent literature, and discussing interesting directions for future research.
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Contributor : Gianluca Cima Connect in order to contact the contributor
Submitted on : Tuesday, March 15, 2022 - 3:01:10 PM
Last modification on : Saturday, June 25, 2022 - 10:44:47 AM
Long-term archiving on: : Thursday, June 16, 2022 - 6:41:40 PM


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  • HAL Id : hal-03609375, version 1




Gianluca Cima, Marco Console, Maurizio Lenzerini, Antonella Poggi. Abstraction in Data Integration. 36th Annual ACM/IEEE Symposium on Logic in Computer Science, LICS 2021, Jun 2021, Rome, Italy. ⟨hal-03609375⟩



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