Linked Open Data

Tim Berners-Lee, <>

This Talk

The Linked Open Data Movement

Linked Data essentials

  1. Use URIs
  2. Use HTTP URIs
  3. Serve useful information using SPARQL, RDF standards
  4. Mention URIs of related objects

Ontology bits for User Interface

Ontology bits for basic inference

Inference - smarter query

Ontology bits for Validation and Constraining input

Scale Free Economy

Branch: (detailed talk)

Message mixes vocabulary from many cultures

(Slide: Lalana Kagal)

Applications connected by concepts

Its like a metro, the way the lines of common concepts connect the stations of different applications

For example in biopax

Venn diagram showing ontologies overlapping by certain common terms

[Diagram: Joanne Luciano, Predictive MedicineDrug discovery demo using RDF, Siderian Seamark and Oracle 10g]

The scale-free tangle

Data mixing: Term by term

dc:title Data Integration and Transparency
cc:license <>
foaf:name Tim Berners-Lee
foaf:homepage <>
foaf:email <>
dt:start 2007-06-12T09:00
dt:end 2007-06-12T10:00
dt:summary W3C-WSRI eGovernment workshop
geo:lat 38.9
geo:long -77
tk:slides <>
tim:slideCount 12

One item may involve data from many ontologies

Data owners should

  1. Take inventory
  2. Decide priorities, most likely benefits
  3. Look for existing ontologies
  4. Don't change the way data is currently managed
  5. Set up standard (RDF, SPARQL) portals onto existing data
  6. Where necessary, adapt or write new ontology bits

Linked Open Data markets

  1. The market for data
  2. Markets enabled by data
  3. Markets for re-hashed data
  4. Markets for data-handling products

Market for raw data

What proportion of documents on the web is for-pay (or ad-funded)?

What motivates you to put stuff on the web?

Markets enabled by data

Double Bus

Double bus architecture

Direct use of Linked Data

Allows the user to make their own mashups!

E.g. Tabulator

Any arbitrary things on the same map, timeline, etc

Linked Open Data movement