How does knowledge evolve in open knowledge graphs?

Openly available, collaboratively edited Knowledge Graphs (KGs) are key platforms for the collective management of evolving knowledge. The present work aims t o provide an analysis of the obstacles related to investigating and processing specifically this central aspect of evolution in KGs. To this...

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Bibliographic Details
Published in:Transactions on Graph Data and Knowledge 2023-12, Vol.1 (1), p.11:1-11:59
Main Authors: Polleres, Axel, Pernisch, Romana, Bonifati, Angela, Dell'Aglio, Daniele, Dobriy, Daniil, Dumbrava, Stefania, Etcheverry, Lorena, Ferranti, Nicolas, Hose, Katja, Jiménez-Ruiz, Ernesto, Lissandrini, Matteo, Scherp, Ansgar, Tommasini, Riccardo, Wachs, Johannes
Format: Article
Language:English
Subjects:
Computer Science
dynamic kg
kg evolution
temporal kg
versioned kg
Online Access:Get full text
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Summary:Openly available, collaboratively edited Knowledge Graphs (KGs) are key platforms for the collective management of evolving knowledge. The present work aims t o provide an analysis of the obstacles related to investigating and processing specifically this central aspect of evolution in KGs. To this end, we discuss (i) the dimensions of evolution in KGs, (ii) the observability of evolution in existing, open, collaboratively constructed Knowledge Graphs over time, and (iii) possible metrics to analyse this evolution. We provide an overview of relevant state-of-the-art research, ranging from metrics developed for Knowledge Graphs specifically to potential methods from related fields such as network science. Additionally, we discuss technical approaches - and their current limitations - related to storing, analysing and processing large and evolving KGs in terms of handling typical KG downstream tasks.
ISSN:2942-7517
DOI:10.4230/TGDK.1.1.11