Multi-Level Aggregation and Summarisation of Data Provenance

Data Provenance focuses on the annotation of database query results with information such as the data sources, why a row participates in the resultset, and how it was obtained.The size of such annotations can significantly grow as queried data size increases.This work presents a method for summarising provenance annotations in database queries, with a focus on aggregations.

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Published
2025-06-22
DOI
https://doi.org/10.1145/3736229.3736256
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Multi-Level Aggregation and Summarisation of Data Provenance

Paulo Pintor, Rogério Luís de C. Costa, José Moreira
Scientific Computing and Data Management
article

Multi-Level Aggregation and Summarisation of Data Provenance

Paulo Pintor, Rogério Luís de C. Costa, José Moreira
article en

Abstract

Data Provenance focuses on the annotation of database query results with information such as the data sources, why a row participates in the resultset, and how it was obtained.The size of such annotations can significantly grow as queried data size increases.This work presents a method for summarising provenance annotations in database queries, with a focus on aggregations.

Instituto Politécnico de Leiria (PT), University of Aveiro (PT)
Fundação para a Ciência e a Tecnologia
Openalex Percentile: Top 77%
Scientific Computing and Data Management
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