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THE ENTITY REGISTRY SYSTEM (ERS)
DownScale2013
Geneva, 19 September 2013
Christophe Guéret(@cgueret)
https://github.com/ers-devs
ARCHITECTURAL CHALLENGE
Collaborate onashared knowledge base
Iconscredithttp://www.iconeden.com/icon/milky-a-free-vector-iconset.html
USE THE CLOUD !
Big server +reliable network +light interfaces
BUT IT DOES NOT ALWAYS WORK ...
5B people do not have reliable Internet access
Big servers are not widely accessible either
Applicationspecific ->beware of data-silos
No P2Pdialogue, evenfor P2Pactivities
Transfer ownership of data
Smart phones are anexception, not anorm
So we need something else....
INTRODUCING ERS
Fully decentralised Linked Datapublicationplatform
Lets users collaboratively describe and link entities
Works under any kind of connectivity context
Tracks back individualedits back to their authors
BASIC COMPONENT: CONTRIBUTORS
Edit the content of the dataspace
Every contributor hosts its owndata
Contributors canshare datawiththeir peers
BASIC COMPONENT: BRIDGES
Increase connectivity
Canonly cache content fromContributors
Fullcopy of cache among bridges
BASIC COMPONENT: GLOBAL SERVER
Aggregates the content fromthe Bridges
Exposes the knowledge base to the outside world
Needs to scale up
THE TESTS SO FAR ...
SUGAR ACTIVITY TO SEND MESSAGES
USE-CASE 1 : SOCIAL NETWORKING
Contributors:someone's laptop, contribute one profile
Bridges:coffee-room device, keep track of visitors
Global server:server providing an overview of the contacts
=> Everyone visiting a universitycan connectwith those who
came before and those who are there
=> Automatic, gossip-like, update of profiles
=> Tune bridges connections based on shared interests
=> LinkedIn like endorsementbyresource description
USE-CASE 2 : MARKET PLACE
Contributors:farmer selling point, announces prices
Bridges:Sneakernet(people/truck/...), makes the info move
Global server:crowd-sourcing for governments
=> Verypervasive wayto communicate marketprices as
structured data and do crowd sourcing
=> Adjustbridges to connectto anyother bridges
TAKE HOME MESSAGE
ERS infew words :
Fully decentralised Linked Data publication platform
Worksunder any kind of connectivity context
Tracksback individual editsback to their authors
Simpleand versatile
Open Source
Low resourcedemanding
https://github.com/ers-devs
... and open for contributionsso don'thesitateto fork it!

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The Entity Registry System (ERS)

  • 1. THE ENTITY REGISTRY SYSTEM (ERS) DownScale2013 Geneva, 19 September 2013 Christophe Guéret(@cgueret) https://github.com/ers-devs
  • 2. ARCHITECTURAL CHALLENGE Collaborate onashared knowledge base Iconscredithttp://www.iconeden.com/icon/milky-a-free-vector-iconset.html
  • 3. USE THE CLOUD ! Big server +reliable network +light interfaces
  • 4. BUT IT DOES NOT ALWAYS WORK ... 5B people do not have reliable Internet access Big servers are not widely accessible either Applicationspecific ->beware of data-silos No P2Pdialogue, evenfor P2Pactivities Transfer ownership of data Smart phones are anexception, not anorm So we need something else....
  • 5. INTRODUCING ERS Fully decentralised Linked Datapublicationplatform Lets users collaboratively describe and link entities Works under any kind of connectivity context Tracks back individualedits back to their authors
  • 6. BASIC COMPONENT: CONTRIBUTORS Edit the content of the dataspace Every contributor hosts its owndata Contributors canshare datawiththeir peers
  • 7. BASIC COMPONENT: BRIDGES Increase connectivity Canonly cache content fromContributors Fullcopy of cache among bridges
  • 8. BASIC COMPONENT: GLOBAL SERVER Aggregates the content fromthe Bridges Exposes the knowledge base to the outside world Needs to scale up
  • 9. THE TESTS SO FAR ...
  • 10. SUGAR ACTIVITY TO SEND MESSAGES
  • 11. USE-CASE 1 : SOCIAL NETWORKING Contributors:someone's laptop, contribute one profile Bridges:coffee-room device, keep track of visitors Global server:server providing an overview of the contacts => Everyone visiting a universitycan connectwith those who came before and those who are there => Automatic, gossip-like, update of profiles => Tune bridges connections based on shared interests => LinkedIn like endorsementbyresource description
  • 12. USE-CASE 2 : MARKET PLACE Contributors:farmer selling point, announces prices Bridges:Sneakernet(people/truck/...), makes the info move Global server:crowd-sourcing for governments => Verypervasive wayto communicate marketprices as structured data and do crowd sourcing => Adjustbridges to connectto anyother bridges
  • 13. TAKE HOME MESSAGE ERS infew words : Fully decentralised Linked Data publication platform Worksunder any kind of connectivity context Tracksback individual editsback to their authors Simpleand versatile Open Source Low resourcedemanding https://github.com/ers-devs ... and open for contributionsso don'thesitateto fork it!