This talk is gentle introduction to the concept of semantic enrichment that demonstrates how publishers are using semantic technology such as Ontotext's GraphDB and publishing platform to make the most of their content.
15. Semantic
Enrichment
June 2014
• Multi-staged text-analysis
pipeline to enrich existing
content.
• More than tags.
Grounded in Semantics.
• Disambiguation (e.g.
different people with the
same name.)
19. #19
New information can be inferred.
• A person is the president of a country.
• Mr. Assad is the president of Syria.
• Syria is a country.
• Assad is a person.
June 2014
20. Which leads to new information.
#20
• Would this chapter in this American textbook
satisfy the expected learning objectives for the UK?
Australia?
• What supplemental materials can we offer this
teacher given that a majority of her students are
struggling with Algebraic problems in her Level 1
physics?
• Which one of my authors have written the most
about ‘The Arab Spring’? What topics are my
authors writing about? Is there a gap in coverage?
What are my editors commissioning?
June 2014
21. And new products.
#21
• Celebrity X is in the news, trending on
twitter. What content do we have that
mentions X or is written by X? Automatically
generate a microsite on the imprint’s landing
page.
• Centennial of WW1. Automatically generated
map of Europe hyperlinked to chapters in a
book (or all the books in our catalogue).
Filter by campaign, general, belligerents or a
combination.
June 2014
35. Article
June 2014
perform
comments
votes
posts
preview
read
contains leads to
read
leads to
preview
Search
Action
Result
Date
FTS Q. Tag
Cat
Tag set
results
cat
taxonomy
Search Log
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