This is a Django application for editing RDF data created for the 2014 VIVO Conference Apps and Tools workshop. It's a proof-of-concept designed with the VIVO research networking system in mind, but in principle, it should work with any triplestore that supports SPARQL read queries and SPARQL updates from Python code.
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ckeditor for editing data properties containing text.
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Select2 tagging widgets which allow for the easy lookup of entities and establishing relations with those. In the sample application the FAST web service is used to lookup skos:Concepts.
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HTML5 boilerplate is used for responsive templating, which makes it mobile friendly.
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create an application that allows researchers to manage and update VIVO research profiles.
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create a mobile or tablet application that allows for straightforward editing of a subset of triplestore data by end users.
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as a data curating or cleaning tool. SPARQL queries could pull problematic data from your triplestore and the built in widgets (or new widgets) could be used by staff to clean or augment the data.
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as an educational tool to learn more about SPARQL, ontologies and RDF. Personal experience disclaimer: when you try to read and write RDF data directly, the learning happens hard but faster.
A presentation is available on YouTube that highlights some of the functionality and motivations behind using an application like this to manage data in a triple store.
- clone the repository
- create a Python virtualenv and activate it
- run
pip install -r requirements.txtto install the required modules - copy the
.sample-envfile to.envand adjust the settings to match your local environment- You will need access to a SPARQL endpoint for read queries
- You will need access to a VIVO instance for writing data changes
- run
python manage.py runserverto start up the Django development serve - visit
http://localhost:8000in your browser. There should be a listing of people and organizations if your connection to a SPARQL endpoint is configured properly and there is people and organization data in the triple store you are querying.
- A SPARQL endpoint to issue queries against. VIVO implementors should see setting up a SPARQL endpoint.
- A "backend" to write the updated data to. See below. This application was developed with VIVO in mind so there is a bundled VIVO backend that works with version of VIVO > 1.6.
To make ready use of this application, you would need access to a VIVO instance with sample data.
If you are interested in using it with other triplestores (Sesame seems to be a good candidate, Fuesiki with updates turned on too) or applications, use the bundled VivoBackend as an example for writing your own backend. Your own backend class it would need an add_remove method that accepts a RDFLib graph of additions and subtractions. That's it. Again, this is for demonstration purposes so it will require some tinkering and original code to connect to a different backend.