Linked Data as a network layer

http://www.w3.org/2010/Talks/1216-ghent-tbl/

MIT Computer Science & Artificial Intelligence Laboratory (CSAIL)

Decentralized Information Group

Director, World Wide Web Consortium


Linked Open Data session,
Future Internet Conference, Ghent 2010-12-16

Layers: Link

link level

Layers: Net hides links

net level

Layers: Web hides computers

web level

Layers: Web hides computers

web level

Layers: Semantic Web

sem web level

Layers: Semantic Web

sem web level

Layers: Semantic Web

graph level

Layers: Semantic Web

graph2 level

Why does this work? Scale free systems

Message mixes vocabulary from many cultures

Why? Cultural Boundaries

Tradeoffs between harmony and diversity

SW allows data mixing: Term by term

dc:titleData Integration and Transparency
cc:license <http://creativecommons.org/licenses/by-nc/3.0/>
dc:creator
foaf:nameTim Berners-Lee
foaf:homepage<http://ww.w3.org/People/Berners-Lee>
foaf:email<mailto:timbl@w3.org>
tk:event
dt:start2007-06-12T09:00
dt:end2007-06-12T10:00
dt:summaryW3C-WSRI eGovernment workshop
geo:lat38.9
geo:long-77
tk:slides<http://www.w3.org/2007/Talks/0618-egov-tbl>
tim:slideCount12

One item may involve data from many ontologies

Extreme 1: Monoculture

Extreme 2: Extreme diversity

Communities and Vocabularies, Scale free

Universal WWW must include communities on many scales

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 Medicine; Drug discovery demo using RDF, Sideran Seamark and Oracle 10g]

Fractal Web of concepts

The semantic web is about allowing data systems to change by evolution not revolution

Total Cost of Ontologies (TCO)

Assume :-) ontologies evenly spread across orders of magnitude; committee  size as log(community), time as committee^2, cost shared across community.
Scale Eg Committee size Cost per ontology (weeks) My share of cost
0 Me 1 1 1
10 My team 4 16 1.6
100 Group 7 49 0.49
1000 10 100 0.10
10k Enterprise 13 169 0.017
100k Business area 16 256 0.0026
1M 19 361 0.00036
10M 22 484 0.000048
100M National, State 25 625 0.000006
1G EU, US 28 784 0.000001
10G Planet 31 961 0.000000

Total cost of 10 ontologies: 3.2 weeks. Serious project: 30 ontologies, TCO = 10 weeks.
Lesson: Do your bit. Others will do theirs.
Thank those who do working groups!

Clients of the RDF bus

New data applications can be built on top of RDF bus, for example:

db to sw

LOD cloud: dbpedia.org seed
LOD cloud: 18 datasets
LOD cloud: 24 datasets
LOD cloud: 35 datasets
LOD cloud: ~45 datasets
LOD cloud: Adding Life Sci
LOD cloud: 2010 - 203 datasets

Building Apps on Read-Write Linked Data

Clients access data though ACL systems using RWLD bus