Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2023
Data sources: ZENODO
ZENODO
Software . 2023
Data sources: Datacite
ZENODO
Software . 2023
Data sources: Datacite
versions View all 2 versions
addClaim

Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips

Authors: Hubert, Nicolas;

Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips

Abstract

PyGraft is an open-source Python library for generating synthetic yet realistic schemas and (KGs) based on user-specified parameters. The generated resources are domain-agnostic, i.e. they are not tied to a specific application field. Being able to synthesize schemas and KGs is an important milestone for conducting research in domains where data is sensitive or not readily available. PyGraft allows researchers and practitioners to generate schemas and KGs on the fly, provided minimal knowledge about the desired specifications. PyGraft has the following features: possibility to generate a schema, a KG, or both highly-tunable process based on a broad array of user-specified parameters schemas and KGs are built with an extended set of RDFS and OWL constructs logical consistency is ensured by the use of a DL reasoner (HermiT)

Keywords

python, semantic-web, artificial-intelligence, knowledge-graph, benchmarking, ontology, linked-data, data-generator, rdf, owl, rdfs

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    1
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average