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Data · dataset · 2025

Knowledge Graph Generator

Listed in DaRUS

Code and experiment results for a synthetic knowledge graph generator.

Description

The generator receives a set of rules, with an expected body support and support, and returns a knowledge graph that approximately matches the rules according to the body support and confidence. This code was developed during the Bachelor thesis by Gabriel Glaser, Generating Random Knowledge Graphs from Rules, University of Stuttgart, 2024. doi:10.18419/opus-15467.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Artificial intelligence 70%
Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
DaRUSdoi:10.18419/DARUS-443613 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:4602enrichment · darus uni stuttgart detaxonomy-embedding@1.1.0title+keywords+description (70%)
concepts[field].dataverse_subject:computer-and-information-sciencesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/subjects
created_datesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0
descriptionsource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/description
publication_datesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0
titlesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/name
updated_datesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0
version_labelsource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0