Short introduction describing what worldwidesemanticweb.org is about. The presentation matches a video at http://youtu.be/pRFhK-QooBA recorded for remote participation at the workshop http://linkedup-project.eu/making-it-matter-workshop/
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Introduction about WorldWideSemanticWeb.org for the workshop "Making it Matter"
1. Let's build a World Wide Semantic Web !
Christophe Guéret (@cgueret)
Victor de Boer (@victordeboer)
Stefan Schlobach
& the WorldWideSemanticWeb community
Workshop “Making it matter”
London May 16
http://worldwidesemanticweb.org/
2. Data sharing is universal but ...
● Everywhere people need to share data about
market prices, health, education, governance, …
● Not everyone has access to the same means
3. Semantic Web could help
● The technology is good for
– Expressing data in context
– Decentralised authoring
– Reasoning with different world conceptualisations
– Multi-facetted and multi-lingual models
● But it is designed by a privileged few that
– Focus on computer literate users
– Assume cloud-hosted servers are available
– Consider one world view for everyone
4. One solution: Downscale !
● Not only look at scaling things up but keep an
eye on local needs and local specificities
5. WWSW = community + projects
(also teaching and training activities)
SB Consulting
(SBC4D)
SemanticXO
Entity Registry System
(ERS)
6. Data + 3 angles
● We are primarly concerned with Data
– Structured, semantically riched and linked
– Locally relevant and locally produced
● Look at improving access to data around three
thematic angles:
– Infrastructures
– Relevancy
– Interfaces
7. Infrastructure
● We need to focus on accessible infrastructures
– Limited electricity
– Off-line or locally connected in Intranets
– Small hardware (PlugPC, RaspberryPi, …)
● Things done in relation to OLPC
– SemanticXO : make every XO LOD ready
– ERS : publish and consume LOD in a decentralised
and “off-line” by default context
8. Relevancy
● We need to focus on the relevant data
– Matches with local world conceptualisation
– Relevant to the target users community
– Filtered and curated to be of minimal size
● Example of on-going activities
– SampLD => When going off-line, take with you only
the subset of the LOD that is most useful for you
– Rainfall data => combine local data + yahoo data to
reason and forecast rainfall on a precise target area
9. Interfaces
● We need to account for users
– With limited computer skills
– With low literacy level
– That speaks local languages
● Outcome of the FP7 project “Voices”
– Voice-based interfaces for farmers in Mali
– Three different systems adressing local needs