Skip to content

Machine learning project for classifying an RDF entity by resource template.

Notifications You must be signed in to change notification settings

LD4P/rdf-classify

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

36 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Python package

Sinopia RDF Classification

Source code and data repository for a FastAI project that builds various models for classifying the Sinopia resource template from an incoming RDF graph of an entity. A 2020 presentation for LDP conference goes into more detail.

The problem this project attempts to solve is to replace the manually classification that is now required in Sinopia when importing third-party RDF from sources such as the Library of Congress Works and Instances, Wikidata, or the Sinopia cohort's converted Share-VDE MARC-to-BIBFRAME RDF. This fine-grained classification of incoming RDF by Sinopia's existing resource templates.

Open source under the Apache 2 license. Models and data are made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/. Any rights in individual contents of the database are licensed under the Database Contents License: http://opendatacommons.org/licenses/dbcl/1.0/

About

Machine learning project for classifying an RDF entity by resource template.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages