Home Overview of Python Tools for Working with Linked Data

Overview of Python Tools for Working with Linked Data

We’ve covered Linked Data – a W3C specification for publishing structured data – frequently at ReadWriteWeb. We’ve covered its importance, its growth and various projects and tools taking advantage of it. But what about tools to actually get your hands dirty and work with it yourself?

RDF is one way of using Linked Data. Michele Pasin, a researcher and Web developer at the Centre for Computing in the Humanities has created a list of resources for Python developers working with RD – including Python libraries, tutorials and Python friendly RDF triplestores.

Some of the resources Pasin hightlights include:

  • RdfLib – An RDF programming kit for Python.
  • Getting data from the Semantic Web – A tutorial on using RdfLib to get data from “>DBPedia. (We covered DBPedia’s use of Linked Data here.)
  • Django-RDF – An RDF engine for Django.

Do you work with RDF and/or Linked Data? What are some of your favorite tools and resources?

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