ascent VS NMT4RDFS

Compare ascent vs NMT4RDFS and see what are their differences.

NMT4RDFS

Neural Machine Translation for RDFS reasoning: code and datasets for "Deep learning for noise-tolerant RDFS reasoning" http://www.semantic-web-journal.net/content/deep-learning-noise-tolerant-rdfs-reasoning-4 (by Bassem-Makni)
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ascent NMT4RDFS
4 1
370 9
- -
6.3 10.0
20 days ago about 5 years ago
Rust Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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ascent

Posts with mentions or reviews of ascent. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-22.

NMT4RDFS

Posts with mentions or reviews of NMT4RDFS. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-03.
  • GDlog: A GPU-Accelerated Deductive Engine
    16 projects | news.ycombinator.com | 3 Dec 2023
    https://www.researchgate.net/figure/Parameter-Settings-of-th...

    "Deep learning for noise-tolerant RDFS reasoning" (2018) > NMT4RDFS: http://www.semantic-web-journal.net/content/deep-learning-no... :

    > This paper documents a novel approach that extends noise-tolerance in the SW to full RDFS reasoning. Our embedding technique— that is tailored for RDFS reasoning— consists of layering RDF graphs and encoding them in the form of 3D adjacency matrices where each layer layout forms a graph word. Each input graph and its entailments are then represented as sequences of graph words, and RDFS inference can be formulated as translation of these graph words sequences, achieved through neural machine translation. Our evaluation on LUBM1 synthetic dataset shows 97% validation accuracy and 87.76% on a subset of DBpedia while demonstrating a noise-tolerance unavailable with rule-based reasoners.

    NMT4RDFS: https://github.com/Bassem-Makni/NMT4RDFS

    ...

    A human-generated review article with an emphasis on standards; with citations to summarize:

    "Why do we need SWRL and RIF in an OWL2 world?" [with SPARQL CONSTRUCT, SPIN, and now SHACL]

What are some alternatives?

When comparing ascent and NMT4RDFS you can also consider the following projects:

datafrog - A lightweight Datalog engine in Rust

treeedb - Generate Soufflé Datalog types, relations, and facts that represent ASTs from a variety of programming languages.

leanstore

gdlog

warpcore - A Library for fast Hash Tables on GPUs

jsoncrack.com - ✨ Innovative and open-source visualization application that transforms various data formats, such as JSON, YAML, XML, CSV and more, into interactive graphs.

cccl - CUDA C++ Core Libraries

virtuoso-opensource - Virtuoso is a high-performance and scalable Multi-Model RDBMS, Data Integration Middleware, Linked Data Deployment, and HTTP Application Server Platform

FuXi - Chimezie Ogbuji's FuXi reasoner. NON-FUNCTIONING, RETAINED FOR ARCHIVAL PURPOSES. For working code plus version and associated support requirements see: