Civet - from Content to Linked Open Data

  • 3,138 views
Uploaded on

A presentation about Civet, a service delivered by Knowledge Hives, we (Arek and Sebastian) gave on June 8th at SemTech 2011. …

A presentation about Civet, a service delivered by Knowledge Hives, we (Arek and Sebastian) gave on June 8th at SemTech 2011.


The presentation also mentioned results of the "Semantic tools for digital libraries" project a.k.a. SemLib, which is a 24th month R&D project supported by EU FP7 Theme: Research for SMEs (no. FP7-SME-2010-01-262301-SEMLIB) commenced in January 2011. More info at http://www.semlibproject.eu

More in: Technology
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Be the first to comment
    Be the first to like this
No Downloads

Views

Total Views
3,138
On Slideshare
0
From Embeds
0
Number of Embeds
5

Actions

Shares
Downloads
6
Comments
0
Likes
0

Embeds 0

No embeds

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
    No notes for slide

Transcript

  • 1. Civet From content to Linked Open Data Sebastian Ryszard Kruk, PhD Arkadiusz KwoskaFriday, December 14, 12
  • 2. how to make text Current better understood by issues machines CIVET - from text Open to RDFa Vocabulary - publishing where to dictionaries get vocabularies for machines Where Potential to go from problems hereFriday, December 14, 12
  • 3. Human text vs machines plain text is virtually useless for machinessource: http://www.flickr.com/photos/libaer2002/2398312710/Friday, December 14, 12
  • 4. Human NLP and tags only lower the text vs order machines of magnitude of continued the problem but not too many orderssource: http://www.flickr.com/photos/matthias_haas67/4200170217/Friday, December 14, 12
  • 5. Human we are already pass retrieving the text vs low “hanging fruit” machines semantics from continued databases but there’s a lot of human knowledge in just plain textsource: http://www.flickr.com/photos/katrinlorenzen/5409008140Friday, December 14, 12
  • 6. how to make text Current better understood by issues machines CIVET - from text Open to RDFa Vocabulary - publishing where to dictionaries get vocabularies for machines Where Potential to go from problems hereFriday, December 14, 12
  • 7. Where to get LOD Vocabs ?source:http://www.flickr.com/photos/bfurlong/2351689062/Friday, December 14, 12
  • 8. Where to get LOD Vocabs ? continuedFriday, December 14, 12
  • 9. Where to get LOD Vocabs ? continuedFriday, December 14, 12
  • 10. how to make text Current better understood by issues machines CIVET from text to Open RDFa Vocabulary - publishing where to dictionaries get vocabularies for machines Where Potential to go from problems hereFriday, December 14, 12
  • 11. CIVET - from text to RDFasource:http://www.flickr.com/photos/xjrlokix/3269530621/Friday, December 14, 12
  • 12. CIVET - from text to RDFa continuedsource: http://www.flickr.com/photos/72213316@N00/3149423057/Friday, December 14, 12
  • 13. CIVET - from text to RDFa continuedFriday, December 14, 12
  • 14. Friday, December 14, 12
  • 15. Friday, December 14, 12
  • 16. Friday, December 14, 12
  • 17. Friday, December 14, 12
  • 18. how to make text Current better understood by issues machines CIVET - from text Open to RDFa Vocabulary - publishing where to dictionaries get vocabularies for machines Where Potential to go from problems hereFriday, December 14, 12
  • 19. OpenVocabulary: from legacy dictionaries to LODFriday, December 14, 12
  • 20. how to make text Current better understood by issues machines CIVET - from text Open to RDFa Vocabulary - publishing where to dictionaries get vocabularies for machines Where Potential to go from problems hereFriday, December 14, 12
  • 21. Mind the hole ... Mind the holeFriday, December 14, 12
  • 22. Mind the hole continued working with text is sometimes often, tricky when you deal with non- English textFriday, December 14, 12
  • 23. Mind the hole continued current meaning but they discovery do not take algorithms are still into account questionable linked data  Friday, December 14, 12
  • 24. how to make text Current better understood by issues machines CIVET - from text Open to RDFa Vocabulary - publishing where to dictionaries get vocabularies for machines Where Potential to go from problems hereFriday, December 14, 12
  • 25. Where discovering to go from key here? meaningful facts Improve, improve, improve ... quality and meaning performance discoveryFriday, December 14, 12
  • 26. SemLib Where recommendation engine to to go from SemLib utilize here? annotation engine results continued for gathering feedback discovering key meaningful facts Validate, validate, with real validate ... users with results real problemsFriday, December 14, 12
  • 27. Civet From content to Linked Open Data http://civet.knowledgehives.com/ Semantic tools for digital libraries a.k.a. SemLib is a 24th month R&D project supported by EU FP7 Theme: Research for SMEs (no. FP7-SME-2010-01-262301-SEMLIB) commenced in January 2011. More info at http://www.semlibproject.euFriday, December 14, 12