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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. Done?
  12. Done? Well… “almost”.
  13. Not all (DBPedia) locations have a geolocation… What can we do?
  14. Approximate the location of entities using the location of relevant concepts
  15. 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!
  16. 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!
  17. 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!
  18. 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
  19. Averaging relevant concepts 100 km
  20. Averaging relevant concepts 1 km
  21. Averaging gives pretty good predictions… and standard deviation gives good spread
  22. Where is Mozart located?
  23. Result: a contextualized reading experience
  24. 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!
  25. Our project Our pilot project partners: The Publisher of the Future http://www.www2015.it/documents/proceedings/companion/p749.pdf
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