1. Frank van Harmelen Semantics: where are we now, where should we go? Creative Commons CC BY 3.0: allowed to share & remix (also commercial) but must attribute

2. Medicin is organised by organ

3. CS is organised as a stack Semantics increases Dick’s career

4. CS is organised as a stack

5. (Web-based) Semantics in 6 slides & a movie

6. http://www.youtube.com/watch?v=tBSdYi4EY3s

7. P1. Give all things a name

8. P2. Relations form a graph between things

9. P3. The names are addresses on the Web x T [ IsOfType ] different owners & locations

10. P1+P2+P3 = Giant Global Graph

11. P4. explicit & formal semantics assign types to things assign types to relations organise types in a hierarchy empose constraints on possible interpretations O W L

12. Examples of “semantics”  married-to  is male married-to relates males to females  is male married-to relates males to females married-to relates 1 male to 1 female  =  married-to relates 1 male to 1 female  =  lowerboundupperbound  married-to

13. Did semantics get anywhere? Did semantics get anywhere?

14. Did semantics get anywhere? already many billions of facts & rules Encyclopedia Geographic names (millions) names of artists & art works (10.000’s) scientific bibliographies hierarchical dictionaries (UK, FR, NL) hierarchical dictionaries (UK, FR, NL) life-science databases any CD ever recorded (almost) May ‘09 estimate > 4.2 billion triples + 140 million interlinks May ‘09 estimate > 4.2 billion triples + 140 million interlinks basic facts on every country on the planet common sense rules & facts (100.000’s)

15. It gets bigger every month 25 billion facts & relations…

16. handcrafted – music: CDnow (2410/5), MusicMoz (1073/7)CDnow MusicMoz – biomedical: SNOMED (200k), GO (15k), Emtree(45k+190k Systems biologyGO Systems biology ranging from lightweight Schema.org Schema.org to heavyweight (Cyc (300k)) ranging from small ( METAR ) to large ( UNSPC ) METAR Did semantics get anywhere? Shared vocabularies (2/2)

17. METAR ontology for pilots

18. Is anybody using semantics for real? Is anybody using semantics for real?

20. NXP: data integration about 26.000 products Triple store Departments Customers

22. Is there anything we can’t do yet ? Is there anything we can’t do yet ?

23. heterogeneity Linguistic, Structural, Logical, Statistical,....

24. Distribution Caching? Payload priority? query- planning?

25. Provenance Representation? From provenance to trust? (Re)construction?

26. Dynamics Streams? Non- monotonicity? versioning?

27. Errors & noise Fuzzy Semantics? Uncertainty Semantics? Rough Semantics? Repair?