Condensed Representation for Snapshot-Based RDF Graphs

Fuente: arXiv
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Auteurs principaux: Gil, Jey Puget, Coquery, Emmanuel, Samuel, John, Gesquiere, Gilles
Format: Preprint
Publié: 2025
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author Gil, Jey Puget
Coquery, Emmanuel
Samuel, John
Gesquiere, Gilles
author_facet Gil, Jey Puget
Coquery, Emmanuel
Samuel, John
Gesquiere, Gilles
contents Evolving phenomena, often complex, can be represented using knowledge graphs, which have the capability to model heterogeneous data from multiple sources. Nowadays, a considerable amount of sources delivering periodic updates to knowledge graphs in various domains is openly available. The evolution of data is of interest to knowledge graph management systems, and therefore it is crucial to organize these constantly evolving data to make them easily accessible and exploitable for analysis. In this article, we will present and formalize the condensed representation of these evolving graphs and propose a new solution called QuaQue that allows querying across multiple versions of graphs and we also present the results of our benchmark comparing our solution against existing approaches.
format Preprint
id arxiv_https___arxiv_org_abs_2506_21203
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Condensed Representation for Snapshot-Based RDF Graphs
Gil, Jey Puget
Coquery, Emmanuel
Samuel, John
Gesquiere, Gilles
Databases
Evolving phenomena, often complex, can be represented using knowledge graphs, which have the capability to model heterogeneous data from multiple sources. Nowadays, a considerable amount of sources delivering periodic updates to knowledge graphs in various domains is openly available. The evolution of data is of interest to knowledge graph management systems, and therefore it is crucial to organize these constantly evolving data to make them easily accessible and exploitable for analysis. In this article, we will present and formalize the condensed representation of these evolving graphs and propose a new solution called QuaQue that allows querying across multiple versions of graphs and we also present the results of our benchmark comparing our solution against existing approaches.
title Condensed Representation for Snapshot-Based RDF Graphs
topic Databases
url https://arxiv.org/abs/2506.21203