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Reconnecting Digital Publications to the Web
using their Spatial Information
Ben De Meester
Tom De Nies, Ruben Verborgh,
Erik Mannens, Rik Van De Walle
University Ghent – iMinds – Multimedia Lab
ben.demeester@ugent.be
@Ben__DM
LocWeb@WWW | May 19th 2015 | Firenze
http://www.www2015.it/documents/proceedings/companion/p749.pdf
There are a lot of links to books…
… but little links from books
How about linking content from a book
to your and other locations?
On the menu:
Digital publications…
EPUB 3
... reconnecting them to the Web …
NER, Semantic Web
… using their spatial information …
DBPedia [lat,long]
… and the cool results!
EPUB 3: the Web in a box!
°2011
EPUB 3: the Semantic Web in a box!
°2014
EPUB 3: the Semantic Web in a box!
the Semantic Web
Open, standardized formats
HTML5, CCS3, JS
Machine-understandable
RDF(a)
in a box
Packaged
zip
Digital publications could be
first-class, interlinked Web-citizens…
But aren’t.
What can we do?
Reconnect all the boxes!
DBPedia spotlight
Retrieve Semantic data
about digital publications
(Approximate) location
Use this Semantic data
to connection publications
with locations
1 2
Done?
Done?
Well… “almost”.
Not all (DBPedia) locations
have a geolocation…
What can we do?
Approximate the location of entities
using the location of relevant concepts
Approximate the location of entities
using the location of relevant concepts
Relevant?
Abstract
Links
Entities?
Can be used for entities that aren’t actual locations!
Approximate the location of entities
using the location of relevant concepts
Relevant?
Abstract
Links
Entities?
Can be used for entities that aren’t actual locations!
Approximate the location of entities
using the location of relevant concepts
Relevant?
Abstract
Links
Entities?
Can be used for entities that aren’t actual locations!
Link-average is more precise,
Abstract-average has more recall
2%
9%
21%
26%
34%
8%
1%
6%
9%
23%
45%
16%
0%
10%
20%
30%
40%
50%
0.1 1 10 100 1000 10000
relative
frequency
kmLink based Abstract based
Averaging relevant concepts
100 km
Averaging relevant concepts
1 km
Averaging gives pretty good predictions…
and standard deviation gives good spread
Where is Mozart located?
Result: a contextualized reading experience
To take away
By augmenting EPUBs with their DBPedia-links…
and connecting these links with their spatial coordinates
… You reconnect digital publications with the Web …
… And create contextualized information for readers!
Our project
Our pilot project partners:
The Publisher of the Future
http://www.www2015.it/documents/proceedings/companion/p749.pdf

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LocWeb2015 - Reconnecting Digital Publications to the Web Using their Spatial Information

  • 1. Reconnecting Digital Publications to the Web using their Spatial Information Ben De Meester Tom De Nies, Ruben Verborgh, Erik Mannens, Rik Van De Walle University Ghent – iMinds – Multimedia Lab ben.demeester@ugent.be @Ben__DM LocWeb@WWW | May 19th 2015 | Firenze http://www.www2015.it/documents/proceedings/companion/p749.pdf
  • 2. There are a lot of links to books…
  • 3. … but little links from books
  • 4. How about linking content from a book to your and other locations?
  • 5. On the menu: Digital publications… EPUB 3 ... reconnecting them to the Web … NER, Semantic Web … using their spatial information … DBPedia [lat,long] … and the cool results!
  • 6. EPUB 3: the Web in a box! °2011
  • 7. EPUB 3: the Semantic Web in a box! °2014
  • 8. EPUB 3: the Semantic Web in a box! the Semantic Web Open, standardized formats HTML5, CCS3, JS Machine-understandable RDF(a) in a box Packaged zip
  • 9. Digital publications could be first-class, interlinked Web-citizens… But aren’t. What can we do?
  • 10. Reconnect all the boxes! DBPedia spotlight Retrieve Semantic data about digital publications (Approximate) location Use this Semantic data to connection publications with locations 1 2
  • 11.
  • 12.
  • 13.
  • 14. Done?
  • 16.
  • 17. Not all (DBPedia) locations have a geolocation… What can we do?
  • 18. Approximate the location of entities using the location of relevant concepts
  • 19. Approximate the location of entities using the location of relevant concepts Relevant? Abstract Links Entities? Can be used for entities that aren’t actual locations!
  • 20. Approximate the location of entities using the location of relevant concepts Relevant? Abstract Links Entities? Can be used for entities that aren’t actual locations!
  • 21.
  • 22.
  • 23. Approximate the location of entities using the location of relevant concepts Relevant? Abstract Links Entities? Can be used for entities that aren’t actual locations!
  • 24.
  • 25.
  • 26. Link-average is more precise, Abstract-average has more recall 2% 9% 21% 26% 34% 8% 1% 6% 9% 23% 45% 16% 0% 10% 20% 30% 40% 50% 0.1 1 10 100 1000 10000 relative frequency kmLink based Abstract based
  • 29. Averaging gives pretty good predictions… and standard deviation gives good spread
  • 30. Where is Mozart located?
  • 31. Result: a contextualized reading experience
  • 32. To take away By augmenting EPUBs with their DBPedia-links… and connecting these links with their spatial coordinates … You reconnect digital publications with the Web … … And create contextualized information for readers!
  • 33. Our project Our pilot project partners: The Publisher of the Future http://www.www2015.it/documents/proceedings/companion/p749.pdf