Uduvudu aims to be an easy to use extensible and adaptive RDF User Interface engine. With Uduvudu you can create an interface screen by defining a graph and providing reusable matchers as also templates.
The aim of this framework is to consume/render roughly the amount of triples which can be presented on one page or one screen. This can be done in a extremly flexible and also reusable way. The cost you are paying it that the framework is inherently not able to process big ( >10'000 triples ) amounts of data.
The library is now working in all recent major browsers. Right now the libary can read RDF in Turtle, N-Triple, RDF/XML and JSON-LD through the rdf-ext library.
A live demo on DBpedia data is available as a proof of concept application.
Uduvudu consists internally out of two parts. First the Matcher which extracts defined structures based on descriptions. Second the Renderer which incorporates the context (language and device) and uses templates to render the final output.
Install: How to integrate Uduvudu and the necessary dependencies in your project.
Editor: An overlay editor which can be used inplace in your project.
Add Matcher: How to define your own matchers definitions.
Add Templates: How to define your own templates.
You can extend the library by adding new matcher factories. Please study the functions
src/uduvudu.js which define the current available matcher as factories.
The following projects are currently also working on adaptive and easy to use frameworks with similar goals. Check them out!
Also find an extensive overview of approaches in Customised Visualisations of Linked Open Data.
Uduvudu in-use examples.