health warning: this is going to be a pretentious talk

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Health Warning: This is going to be a pretentious talk. Philosophical confession coming up: What I believe about scientific knowledge. Laws about the information universe, just like laws about the physical universe. alchemy. Did a decade of Semantic Web work help to discover - PowerPoint PPT Presentation

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Page 1: Health Warning: This is going to be  a pretentious talk
Page 2: Health Warning: This is going to be  a pretentious talk

Health Warning:

This is going to be a pretentious talk

Page 3: Health Warning: This is going to be  a pretentious talk
Page 4: Health Warning: This is going to be  a pretentious talk

Philosophical confessioncoming up:

What I believe about scientific knowledge

Page 5: Health Warning: This is going to be  a pretentious talk
Page 6: Health Warning: This is going to be  a pretentious talk
Page 7: Health Warning: This is going to be  a pretentious talk

Laws about the information universe,

just like laws about the physical universe

Page 8: Health Warning: This is going to be  a pretentious talk
Page 9: Health Warning: This is going to be  a pretentious talk

alchemy

Page 10: Health Warning: This is going to be  a pretentious talk

Did a decade of Semantic Web work

help to discover any Computing Science laws?

Page 11: Health Warning: This is going to be  a pretentious talk

What have we built?

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Let’s treat the last 10 yearsas a giant experiment

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Some well known “laws” about information

do indeed apply

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USE

USE

RE-USE

U = 1-R

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Factual knowledge is a graph

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Terminological knowledgeis a hierarchy

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Terminological knowledgeis much smaller

than the factual knowledge

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Page 27: Health Warning: This is going to be  a pretentious talk

Dataset Schemaclosure

Full closure

Ratio

LUBM 8sec 1h15min 562Linked Life Data 332sec 1h5min 11FactForge 89sec 2h45min 111

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Terminological knowledgeis of low complexity

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heterogeneityis unavoidable

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heterogeneityis solvable

socially,culturally,

economically (and a little bit algorithmically)

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publication should be distributed,computation should be centralised

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speed increases with parallelisation

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0 2 4 6 8 100

5

10

15

20

25

30

35

Input size (billion triples)

Thro

ughp

ut (K

trip

les/

sec)

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0 10 20 30 40 50 60 70 80 90 100 1100

100200300400500600700800900

10001100120013001400150016001700180019002000

Input size (billion triples)

Thro

ughp

ut (K

Trip

les/

sec)

in 2011

in 2010

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knowledge about knowledge

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Finally:a call to arms

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Theory?What theory?

Page 46: Health Warning: This is going to be  a pretentious talk

Big thank you to:

Myria Nikolaidou&

Paul GrothAnnette ten TeijeStefan Schlobach

Christophe GueretEmanuele Della Valle

and all at the SemWeb@VUA group