Download - Decentralised Open Data for World Citizens

PMOD - June 2012 Open Data for World Citizens 1/19

Decentralised Open Data for World Citizens

Christophe Guéret, Victor de Boer, Anna Bon & many more

Using Open Data policy modelling, citizen empowerment, data journalism

19 - 20 June 2012


The common facets of Open Data

http://www.flickr.com/photos/swamibu/2928083712


Open Data portals

Single entry point to all data and applications

English + country official language(s)

Text oriented

Serve static data


Open Data users

They have a smartphone or at least a Web browser

They are young and geeky

They can read and type

Some of them will code applications for the others


Open Data producer hardware

Data centers that can host terabytes of data

99.9% uptime

High speed reliable Internet connectionhttp://www.flickr.com/photos/argonne/3323018571


Who are we talking about exactly?

Data consumers that:

(Computer) literate

Early adopters of new technologies

Data producers that:

Have access to publication platforms

Have a significant amount of data to publish

Are trusted as data providers

A tiny fraction of the 7 billion World Citizen


Data sharing need and issues

Example needs

Market prices

Innovative agricultural techniques

Information about stock of crops

Issues

Distances between rural communities in Sahel

Limited infrastructure: no electricity, no computer, no Internet (but radio and mobile phones)

Lack of relevant content, literacy and education, different languages


A simple question...

How can everyone benefit from Open Data ?

Part of the solution:

Voice interfaces

DownScaled infrastructures


Voice interfaces

What ?

Replace textual interfaces by speech

Why ?

Everyone can speak and listen

Good mobile penetration in sub-Saharan Africa

How ?

Use and develop TTS and ASR technologies

Deal with several local languages


DownScaling infrastructures

What ?Use a swarm of micro-servers instead of a central one

Why ?Micro-servers are less costly

Redundancy in the swarm improves robustness

Decentralise => get closer to data consumers/producers

How ?Use low-end hardware

Adapt data technologies (in particular, Linked Data)


Our target hardware, portal and users‘Allo, Linked Data?


Some of the ongoing projects

Photo (c) Bruno van Moerkerken


RadioMarché: sharing market prices


RadioMarché : voice interface

Farmers call to indicate their prices

Messages are generated in different languages

Buyers call and listen to the messages

Rely on community radio


Foroba Blon: timely data sharing

It rained a lot today!

I wonder when it will rain...


Foroba Blon: citizen journalists

Users call the service and leave their message

Community radios collect and curate the citizen-reported content

Messages are diffused on the radio and are accessible via mobile phones and on the Web

Less latency between producers and consumers


SemanticXO: sharing data at 6 to 12


SemanticXO: data sharing stack for the XO

Every XO is a data publisher and consumer

Does not rely on any central host

Uses lightweight data relays when needed

External applications

Sugar activities

HTTP ServerStructured

data store API

Triple store +

files

Web of Data


Take home message

Widening the access to Open Data implies

Developing voice-based interfaces

DownScaling infrastructures

For more information:

http://worldwidesemanticweb.wordpress.com/

http://semweb4u.wordpress.com/

http://w4ra.few.vu.nl/

http://mvoices.eu/

http://worldwidesemanticweb.wordpress.com/

http://semweb4u.wordpress.com/

http://w4ra.few.vu.nl/

http://mvoices.eu/

Download - Decentralised Open Data for World Citizens

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