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Open Data

Open data with Flatstore

Your session in a few words: 
A storage API that helps you turn around data fast.
Track: 
Code it, test it, deploy it
Session Type: 
Lecture
Level of expertise: 
Intermediate
Tags: 
Open Data
Tags: 
storage
Tags: 
aggregation
Language: 
English

Tons of information exists out there on the people, area and programs that you work on that could add serious value to your projects, but often that information isn't easily accessible, isn't stored in a standard format or system, and bottom line isn't maximized. The push to break data out of their silos is gaining momentum, with several governments leading the charge, including the U.S. government with efforts like Data.gov that make large swaths of data accessible, usable, and downloadable from one place.

Flatstore helps accomodating large data sets. It is a storage API that dynamically allocates tables for two dimensional data, relates tables to each other and generates Schema and Views information on the fly. Together with FeedAPI you can use Flatstore to import arbitrary data from CSV or XML and expose it with Views instantly.

The state of RDF in Drupal 7

Your session in a few words: 
A retrospecive on RDF in Drupal, where we're headed with RDF in core and how Drupal 7 will change the Web.
Date: 
September 3, 2009 - 11:20 - 12:10
Room: 
La Resserre
Track: 
Code it, test it, deploy it
Session Type: 
Lecture
Level of expertise: 
Intermediate
Tags: 
RDF
Tags: 
Open Data
Tags: 
Semantic Web
Language: 
English

Over the years, there has been multiple attempts to integrate RDF and Drupal with many contributed modules like Relationship, Semantic Search or FOAF. None of them has proven to be sustainable and popular until 2007, when the RDF API came out for Drupal 6, followed by many other RDF modules for Drupal 6.

Co presenters: 
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