Semantic publishing

244 views

Published on

Published in: Education, Technology
0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total views
244
On SlideShare
0
From Embeds
0
Number of Embeds
1
Actions
Shares
0
Downloads
0
Comments
0
Likes
1
Embeds 0
No embeds

No notes for slide

Semantic publishing

  1. 1. Semantic Publishing How it’s done and what it takes
  2. 2. the Romantic Past
  3. 3. Status Quo
  4. 4. Example 2 years ago did not even have an FTS index over a 120 yrs archive
  5. 5. Digitally Challenged
  6. 6. Reaction Wider and wider adoption
  7. 7. 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
  8. 8. Editorial Curation of concept enrichment Query driven publishing templates Dynamic re-purposing and reuse New publishing products with the same content
  9. 9. Publishing Dynamic construction of products Adaptive content streams Semantics driven trend analytics Behavior driven personal asset streams
  10. 10. Adaptive. Personal
  11. 11. 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
  12. 12. Business requirements gold standards a knowledge base
  13. 13. Domain driven ontology design
  14. 14. Publishers speak our language
  15. 15. Domain Model: Macro Economics
  16. 16. Knowledge Base
  17. 17. Semantic Annotation
  18. 18. Initial Pipeline
  19. 19. Machine Learning
  20. 20. Enrichment Pipeline
  21. 21. Disambiguation and Adaptation
  22. 22. Example Curation Tool: PressAssociation
  23. 23. Continuous Adaptation
  24. 24. Semantic Indexing
  25. 25. Conceptual Architecture
  26. 26. Concept Extraction Architecture #31
  27. 27. #32
  28. 28. Hybrid Cluster #33
  29. 29. Master Node #34
  30. 30. Worker Node #35
  31. 31. Hybrid Cluster Function #36
  32. 32. Elasticity #37
  33. 33. STORIES Wider and wider adoption
  34. 34. As it is text analytics – language coverage?
  35. 35. Dutch Text Analytics
  36. 36. And what else?

×