Let's downscale the semantic web !


Published on

Presentation about http://worldwidesemanticweb.org/ given at SugarCamp#3 in Paris on April 12-13. The slides introduce the activities of the WWSW group centred around adapting Semantic Web technologies to be usable in challenging conditions.

Published in: Technology, Education
1 Comment
1 Like
No Downloads
Total views
On SlideShare
From Embeds
Number of Embeds
Embeds 0
No embeds

No notes for slide

Let's downscale the semantic web !

  1. 1. Let’s Downscale the Semantic Web ! Christophe Guéret @cgueret April 12-13 2014
  2. 2. Set of tools and best practices to publish and link semantically rich (self-explanatory), structured, data using W3C standards Related keywords: Linked Data, Open Data, Linked Open Data, Ontologies, Description Logic, Reasoning, RDFa, SPARQL, RDF, … Very nice fit for our DownScale goals “Semantic Web” ?
  3. 3. Publish data as Web sites Web of Documents Web of Data href href http://dbpedia.org/resource/Amsterdam dbpedia:Netherands ex:locatedIn “Amsterdam”@nl ex:name
  4. 4. DownScaling ? The opposite of UpScaling ;-)
  5. 5. Example data sharing scenario Interesting open data Users
  6. 6. We build this ... Web hosted service Interesting open data Users Data flow
  7. 7. whereas the situation is like that... Web hosted service Interesting open data Users Data flow ???
  8. 8. but this is what users actually need Web hosted service Interesting open data Users Data flow
  9. 9. Nowadays, everything scales-up Information systems are designed to ● Accomodate a target community of users ○ Least common denominator features ● Manage large amount data and users ○ Big servers, Big data ● Work in connected ways (with offline caches) ○ Cloud-based servers + connectivity
  10. 10. … or sometimes does not ● No stable high speed internet ○ low bandwidth, sneaker nets, local mesh … ● Different languages or literacy levels ○ local dialects, … ● Different conceptual models ○ “big city” means something very different in China and in Europe
  11. 11. A solution ? Downscale!
  12. 12. Research agenda around 4 elements
  13. 13. Infrastructures Systems optimised for decentralised and “off- line by default” use Entity Registry System (ERS) General purpose Web-less Linked Open Data platform Adds Semantic Web tooling to Sugar
  14. 14. Entity Registry System ● Nodes have 3 possible roles ○ Contributor, Bridge, Aggregator ● Only contributors store data (statements) ○ private, cache and public stores Drawing from http://slides.com/cgueret/ers
  15. 15. Interfaces Voice and visual centric interfaces that blend-in and are usable in several (local) languages Listen to market prices Share news Plan community meetings
  16. 16. RadioMarché ● Farmers use basic phones to interact with the data ● Designed to blend-in (living labs approach)
  17. 17. Relevancy Take local meanings into account, give priority to the most relevant data SampLD Find out what part of a dataset is most relevant to store DataHives Reasoner that derives facts based on local meaning
  18. 18. Data Integrate development related datasets with other data published as Linked Open Data API2LOD Expose the content of any API as Linked Open Data IATI2LOD Expose the content of the IATI registry as Linked Open Data + participation to the Land Portal re-development
  19. 19. IATI2LOD ● Put IATI data in context of other data sets
  20. 20. Jump in! ● ICT4D course at the VU University Amsterdam + ICT4D event on May 16 ● Discussion groups ○ Development Linked Data W3C community group ○ WorldWideSemanticWeb google group ● Upcoming Downscale2014 and LD4D 2014