Nemo: A Scalable and Versatile Datalog Engine

Alex IvlievAlex Ivliev, Lukas GerlachLukas Gerlach, Simon MeuselSimon Meusel, Jakob SteinbergJakob Steinberg, Markus KrötzschMarkus Krötzsch

Alex Ivliev, Lukas Gerlach, Simon Meusel, Jakob Steinberg, Markus Krötzsch
Nemo: A Scalable and Versatile Datalog Engine
In Mario Alviano, Matthias Lanzinger, eds., Proceedings of the 5th International Workshop on the Resurgence of Datalog in Academia and Industry (Datalog-2.0 2024), volume 3801 of CEUR Workshop Proceedings, 43-47, November 2024. CEUR-WS.org

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Bibtex

KurzfassungAbstract
Nemo is a toolkit for large-scale data analysis that emphasizes robustness and ease of use. Nemo’s core is a scalable and efficient main-memory reasoner that supports an expressive extension of Datalog with support for data types, existential rules, aggregates, and (stratified) negation. Built around this core is a versatile system of libraries and applications for interfacing with several data formats and programming languages, use as a web application, and IDE integration. In this system description, we present this toolkit giving a high-level overview of the system architecture as well as its supported language features.
Projekt:Project: CPEC, InnoSale, SECAI, ScaDS.AI
Verknüpfte Tools:Related Tools: Nemo
Forschungsgruppe:Research Group: Wissensbasierte SystemeKnowledge-Based Systems

@inproceedings{IGMSK2024,
  author    = {Alex Ivliev and Lukas Gerlach and Simon Meusel and Jakob
               Steinberg and Markus Kr{\"{o}}tzsch},
  title     = {Nemo: A Scalable and Versatile Datalog Engine},
  editor    = {Mario Alviano and Matthias Lanzinger},
  booktitle = {Proceedings of the 5th International Workshop on the Resurgence
               of Datalog in Academia and Industry (Datalog-2.0 2024)},
  series    = {CEUR Workshop Proceedings},
  volume    = {3801},
  publisher = {CEUR-WS.org},
  year      = {2024},
  month     = {November},
  pages     = {43-47}
}