1. Semantic Publishing
How it’s done and what it takes

3. the Romantic Past

4. Status Quo

5. Example
2 years ago
did not even have an FTS index over a 120 yrs
archive

6. Digitally Challenged

7. Reaction
Wider and wider adoption

8. Authoring
Related assets – as you type
Related entities and concepts
Entity profiles and facts on the fly
To create higher value content at the same cost

9. Editorial
Curation of concept enrichment
Query driven publishing templates
Dynamic re-purposing and reuse
New publishing products with the same content

10. Publishing
Dynamic construction of products
Adaptive content streams
Semantics driven trend analytics
Behavior driven personal asset streams

11. Adaptive. Personal

12. User Interface
Content
Da
Lin ta s
ke ets
dd &
ata
Domain
Entity
Entity
Entity
Trend analysis
Semantic index
Domain Model
Semantic annotation
Entity
Information Architect
Organization Boundary
Doc
Domain Model
Semantic search
Doc
Entity
Entity
SME
Linked Data
Starting Point? Sound Methodologies
Starting point?
Dec 2012

13. Business
requirements
gold standards
a knowledge base

16. Domain
driven
ontology
design

17. Publishers speak our language

18. Domain Model: Macro Economics

19. Knowledge Base

20. Semantic
Annotation

21. Initial Pipeline

22. Machine
Learning

24. Enrichment
Pipeline

25. Disambiguation and Adaptation

26. Example Curation Tool:
PressAssociation

27. Continuous
Adaptation

28. Semantic
Indexing

30. Conceptual
Architecture

31. Concept Extraction Architecture
#31

32. #32

33. Hybrid
Cluster
#33

34. Master Node
#34

35. Worker Node
#35

36. Hybrid
Cluster
Function
#36

37. Elasticity
#37

38. STORIES
Wider and wider adoption

39. As it is text analytics –
language coverage?

40. Dutch Text Analytics

41. And what else?