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Using Pregel to Create Knowledge Graphs Subsets Described by Non-recursive Shape Expressions

  • 2023
  • OriginalPaper
  • Chapter
Published in:
Authors
Ángel Iglesias Préstamo
Jose Emilio Labra Gayo
Published in
Knowledge Graphs and Semantic Web
Publisher
Springer Nature Switzerland

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Abstract

This chapter delves into the synergy between Shape Expressions (ShEx) and the Pregel model for creating subsets of knowledge graphs. It introduces a method to generate subsets using ShEx, which are validated through a Pregel-based algorithm implemented in Rust. The author highlights the scalability and efficiency of this approach, demonstrating its application on large-scale knowledge graphs like Wikidata and UniProt. The chapter also includes optimizations such as columnar storage and dictionary encoding, significantly improving performance. The experimental results showcase substantial reductions in time and memory consumption, making this approach particularly valuable for handling massive knowledge graphs in bioinformatics and other domains.
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Title
Using Pregel to Create Knowledge Graphs Subsets Described by Non-recursive Shape Expressions
Authors
Ángel Iglesias Préstamo
Jose Emilio Labra Gayo
Copyright Year
2023
Book
Knowledge Graphs and Semantic Web

Print ISBN: 978-3-031-47744-7

Electronic ISBN: 978-3-031-47745-4

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-3-031-47745-4_10
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