Nemo: A Scalable and Versatile Datalog Engine
From International Center for Computational Logic
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
Proceedings of the 5th International Workshop on the Resurgence of Datalog in Academia and Industry (Datalog-2.0 2024), CEUR Workshop Proceedings, to appear. CEUR-WS.org
Nemo: A Scalable and Versatile Datalog Engine
Proceedings of the 5th International Workshop on the Resurgence of Datalog in Academia and Industry (Datalog-2.0 2024), CEUR Workshop Proceedings, to appear. CEUR-WS.org
- 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},
booktitle = {Proceedings of the 5th International Workshop on the Resurgence
of Datalog in Academia and Industry (Datalog-2.0 2024)},
series = {CEUR Workshop Proceedings},
publisher = {CEUR-WS.org},
year = {2024}
}