Condensed Representation for Snapshot-Based RDF Graphs

TL;DR

This paper introduces QuaQue, a novel condensed representation for snapshot-based RDF graphs that efficiently manages evolving knowledge graphs and enables cross-version querying, supported by benchmarking results.

Contribution

The paper formalizes a new condensed representation for evolving RDF graphs and proposes QuaQue, a system for efficient cross-version querying and management.

Findings

QuaQue outperforms existing approaches in benchmark tests.

The representation enables efficient querying across multiple graph versions.

The approach effectively manages large, evolving knowledge graphs.

Abstract

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.