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Research

At NeverBlink, we’re advancing neurosymbolic technologies toward real-world adoption by centering our research on scalability, reliability, and seamless integration. Discover our latest work and see how we’re bringing real-time reasoning into production.

Image by Uriel SC
Jelly-Patch: a Fast Format for Recording Changes in RDF Datasets

Piotr Sowiński, Kacper Grzymkowski, Anastasiya Danilenka

Accepted at the 24th International Semantic Web Conference (ISWC) 2025 Posters and Demos

We introduce Jelly-Patch, a binary format for recording RDF dataset changes that achieves far better compression than existing patch formats.

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Tackling inter-service RDF communication bottlenecks in the Nanopublication network with Jelly

Piotr Sowiński, Tobias Kuhn, Karolina Bogacka

Led by Knowledge Pixels, the Nanopublication Network overcame scalability issues with Jelly, a binary RDF format that cut retrieval times from over an hour to seconds. Nominated for Best Industry Paper at SEMANTiCS 2025 ViennaRead full case study.

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Jelly: a Fast and Convenient RDF Serialization Format

Piotr Sowiński, Karolina Bogacka, Anastasiya Danilenka, Nikita Kozlov

We introduce Jelly, a binary RDF format that supports batch and streaming use cases, offering high throughput, strong compression, and easy integration for the Semantic Web.

Image by David Becker
Representing and querying data tensors in RDF and SPARQL

Piotr Marciniak, Piotr Sowiński, Maria Ganzha

We present a method for representing tensors as RDF literals, supported by a SPARQL extension and open-source Jena implementation to integrate machine learning with knowledge graphs. Awarded with Best Poster Award and Dieter Fensel Visionary Award at ESWC 2025.

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