libcredit aims to simplify extracting attribution information for creative works from RDF metadata and formatting at as human-readable credit line in various contexts.
RDF metadata
Attribution is retrieved from RDF data by looking for predefined core properties in the graph. The properties include a subset of Dublin Core, Creative Commons, XHTML vocabularies and other site-specific properties (Open Graph, Flickr, etc.).
The process used to extract a credit line from the metadata is documented here (and you are welcome to contribute thoughts there, as well as code to this library): https://github.com/commonsmachinery/credit-metadata-best-practices
Some things described in that process have not yet been implemented, as indicated by open issues: https://github.com/commonsmachinery/libcredit/issues?state=open
### CopyRDF addon for Firefox
CopyRDF firefox addon developed by converts RDFa metadata found in various media hosting platforms to RDF. See the addon’s README for a list of tested websites and usage instructions:
https://github.com/commonsmachinery/copyrdf-addon/blob/master/README.md
Implementation and usage
libcredit is currently written for Python and JavaScript. See README.language.md files for instructions and usage examples for the libcredit implementations in these languages.
The language-specific implementations are distributed as individual files, but all are maintained in single repository at github: https://github.com/commonsmachinery/libcredit
License
Copyright 2013 Commons Machinery http://commonsmachinery.se/
Distributed under an GPLv2 license, please see LICENSE in the top dir.
Contact: dev@commonsmachinery.se
1 maintainer
Release files for libcredit.py 0.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| libcredit.py-0.2.1.tar.gz | 20.1 kB | Details |
Release files / libcredit.py-0.2.1.tar.gz
| Download URL | libcredit.py-0.2.1.tar.gz |
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| Size | 20.1 kB |
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