Layers: Link
Layers: Net hides links
Layers: Web hides computers
Layers: Web hides computers
Layers: Semantic Web
Layers: Semantic Web
Layers: Semantic Web
Layers: Semantic Web
Why does this work? Scale free systems
Message mixes vocabulary from many cultures
Why? Cultural Boundaries
SW allows data mixing: Term by term
dc:title | Data Integration and Transparency |
cc:license |
<http://creativecommons.org/licenses/by-nc/3.0/> |
dc:creator |
foaf:name | Tim Berners-Lee |
foaf:homepage | <http://ww.w3.org/People/Berners-Lee> |
foaf:email | <mailto:timbl@w3.org> |
|
tk:event |
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 | <http://www.w3.org/2007/Talks/0618-egov-tbl> |
tim:slideCount | 12 |
One item may involve data from many ontologies
Extreme 1: Monoculture
- Culture: MacDonalds
- Engineering: One huge DB. Cyc
- Many people feared for web
- Can't meet the requirements of diversity
- Develeopment slows to a crawl
Extreme 2: Extreme diversity
- No overall coordination
- Culture: Cults, e.g Heaven's Gate
- Engineering: Individual OO systems, DB systems
- Lack of general communication
- Rapid deevlopment
Communities and Vocabularies, Scale free
Universal WWW must include communities on many scales
Applications connected by concepts
Fractal Web of concepts
- Across boundaries of scale -- personal, group, global
- Varying access levels
- Tension between local and global standards
- Society is a fractal tangle, so must SW be.
- Personal interactions on multiple scales
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:
Building Apps on Read-Write Linked Data