Transform unstructured document collections to structured Linked Data
Ferenda is a python library and framework for transforming unstructured document collections into structured Linked Data. It helps with downloading documents, parsing them to add explicit semantic structure and RDF-based metadata, finding relationships between documents, and publishing the results, including through a REST-based HTTP API.
This example uses ferenda’s project framework to download the 50 latest RFCs and W3C standards, parse documents into structured, RDF-enabled XHTML documents, loads all RDF metadata into a triplestore and generates a web site of static HTML5 files that are usable offline:
pip install ferenda ferenda-setup myproject cd myproject ./ferenda-build.py ferenda.sources.tech.RFC enable ./ferenda-build.py ferenda.sources.tech.W3Standards enable ./ferenda-build.py all all --downloadmax=50 --staticsite --fulltextindex=False open data/index.html
The same functionality can also be accessed through a python API, if you want to use ferenda as part of a larger system. It’s also possible to just use the parts of ferenda that you need (eg. only the downloading and parsing features).
See http://ferenda.readthedocs.org/ for in-depth documentation.
Most of the code written by Staffan Malmgren, licensed under the main 2-clause BSD license.
Some bundled code and other creative works are written by other authors, included in accordance with their respective licenses:
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|File Name & Checksum SHA256 Checksum Help||Version||File Type||Upload Date|
|ferenda-0.3.0-py2.py3-none-any.whl (842.6 kB) Copy SHA256 Checksum SHA256||py2.py3||Wheel||Feb 18, 2015|
|ferenda-0.3.0.tar.gz (835.8 kB) Copy SHA256 Checksum SHA256||–||Source||Feb 18, 2015|