This document discusses consuming and using open and linked data with open source tools. It outlines the available data and distribution technologies like RDF, SPARQL and linked data. It then explains the typical software stack used including tools for querying, storing and visualizing the data. The document provides an example of actually retrieving data and doing something useful with it. It also notes some potential issues or "gotchas" and provides further resources for working with open data.
Consuming open and linked data with open source tools
1. 5/31/2011
Consuming Open and
Linked Data with Open
Source Tools
Or, how to do something useful
with all this free data
Jo Cook, Geospatial Consultant, Astun Technology
2. Talk Outline
● The data and the distribution technologies
explained
● The software stack explained
● Actually getting some data and doing something
with it
● Gotchas
● Further resources and links
24. Mitigation
Keep your data here so you're
not relying directly on the service
for updates to customers
(Maybe even
keep it here too)
25. Conclusions
A dash of all these, some readily
available python libraries, and
some relatively simple scripting
gets you useful data for your own
applications...
... and by using PostgreSQL to
store your data, you can provide
a buffer in case of api changes or
outages...
... and even do some nifty
manipulation to analyse and
present the data differently!