Semantic publishing
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The document discusses semantic publishing and outlines how it can be done through authoring content with related assets, entities, and concepts as you type; editorial curation of concept enrichment and dynamic querying of publishing templates; and publishing through dynamic construction of content streams driven by semantics. It also presents examples of semantic annotation, indexing, and curation tools that can enable semantic publishing.
Semantic publishing
- 1. Semantic Publishing How it’s done and what it takes
- 4. Status Quo
- 5. Example 2 years ago did not even have an FTS index over a 120 yrs archive
- 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
- 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
- 17. Publishers speak our language
- 18. Domain Model: Macro Economics
- 19. Knowledge Base
- 21. Initial Pipeline
- 22. Machine Learning
- 32. #32
- 34. Master Node #34
- 35. Worker Node #35
- 37. Elasticity #37
- 38. STORIES Wider and wider adoption
- 39. As it is text analytics – language coverage?
- 41. And what else?