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Kasabi Culture Hackday

Kasabi

Wednesday, September 21, 2011 at 9:00 AM (BST)

London, United Kingdom

Kasabi Culture Hackday

Ticket Information

Type End     Quantity
Hackers Ended Free  

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Event Details

Idea:

This is a day to hack upon culture. It is open to anyone interested in hacking, data, culture etc, and we're looking to explore ideas for applications, datasets, mashups and the rest. There will be lunch at the venue, and plenty of coffee (our special SPARQL Blend) to fuel coding and collaboration.

The topic, is broad and the potential applications are huge and fun to imagine. Kasabi is a place for data, both to publish and build upon, so there will be ready access to datasets covering such things as:

* music

* art

* theatre

* history

* food

* events

We're looking for some more ideas for datasets, so if you're interested in contributing data for the event, we'd love to hear from you too.

Who should come? 

It's open to anyone, but developers who are interested in any of the following might find it most useful:

* Hacks and Mashups

* Apps (web and mobile)

* Data

* Semantic Web/Linked Data

 

Agenda:

 

9:00 Coffee and intros to one another

9:30 Briefing of the day

     * Wi-Fi

     * Comms Channels:

          * IRC

          * Wiki

          * Dev List

10:10 Intro to Kasabi

     * Some key Datasets

     * Some challenges to fix

     * Some key facts about Kasabi APIs

10:20 Group forming around projects

10:30 Relentless Hacking

12:30 Sandwiches delivered

4:15 Demos of projects/lightning talks

5:00 Head out for well-earned beers

 

More details will follow, but a few key links to get you started:

* Kasabi Home (public beta)

* Hack Day Wiki

* Featured Dataset

* Overview of Datasets

* Overview of APIs

* Documentation


Have questions about Kasabi Culture Hackday? Contact Kasabi

When & Where



76 Portland Place
76 Portland Place
London
W1B 1NT

United Kingdom

Wednesday, September 21, 2011 at 9:00 AM (BST)


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Organizer

Kasabi

Kasabi is a place for data: to host and to find. It's built on Linked Data, and makes it as easy as possible to share, access, and build upon datasets.

  Contact the Organizer

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