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Exposing Digital Content as Linked Data,
and Linking them using StoryBlink
Ben De Meester
Tom De Nies, Laurens De Vocht,
Ruben Verborgh, Erik Mannens,
and Rik Van de Walle
University Ghent – iMinds – Multimedia Lab
ben.demeester@ugent.be | @Ben__DM
NLPDBpedia2015@ISWC | October 11th 2015 | Bethlehem, PA
We live in a fast world
with a lot of content to sift through
http://blog.qmee.com/qmee-online-in-60-seconds/
Book ≠ Fast
Finding a good book in short time?
Recommendations!
Recommendations?
Social recommendations
Long tail
Metadata recommendations
Manual?
What do we want?
Automatic content-based metadata
to fuel future recommendation-engines
Content-based metadata
Get the tags…
DBPedia Spotlight
... use them to represent books’ content …
EPUB CFI, NIF, ITS, …
… and link to other books … in a good way.
TPF, EiCE
Storyblink!
Get the tags
Find out what a book is about…
Semantic tags!
Using NER/NED!
Extract all semantic concepts from the book
AGDISTIS
AGDISTIS
Open source
Local
NER/NED/NEL
From a book to a semantic book
… …
Split HTML
into chunks
HTML
to text
Local
Spotlight
Represent a book by tags
@prefix schema: <http://schema.org/> .
@prefix nif: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#> .
@prefix itsrdf: <http://www.w3.org/2005/11/its/rdf#> .
@prefix dbr: <http://dbpedia.org/resource/> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix pg84: <http://www.gutenberg.org/ebooks/84.epub#> .
pg84:book a schema:Book .
pg84:epubcfi(/6/12!/4/2/4) itsrdf:taIdentRef dbr:Chamois ;
nif:sourceUrl pg84:book .
pg84:epubcfi(/6/2!/4/46[chap01]/16/42) itsrdf:taIdentRef dbr:Chamois ;
nif:sourceUrl pg84:book .
pg84:epubcfi(/6/12!/4/2/6) itsrdf:taIdentRef dbr:Desert ;
nif:sourceUrl pg84:book .
...
Represent a book by tags
@prefix schema: <http://schema.org/> .
@prefix nif: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#> .
@prefix itsrdf: <http://www.w3.org/2005/11/its/rdf#> .
@prefix dbr: <http://dbpedia.org/resource/> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix pg84: <http://www.gutenberg.org/ebooks/84.epub#> .
pg84:book a schema:Book .
pg84:epubcfi(/6/12!/4/2/4) itsrdf:taIdentRef dbr:Chamois ;
nif:sourceUrl pg84:book .
pg84:epubcfi(/6/2!/4/46[chap01]/16/42) itsrdf:taIdentRef dbr:Chamois ;
nif:sourceUrl pg84:book .
pg84:epubcfi(/6/12!/4/2/6) itsrdf:taIdentRef dbr:Desert ;
nif:sourceUrl pg84:book .
...
Link to other books
Open Source
Linked data
path finding
Multiple paths
Keeping all concepts…
Not all mentioned concepts are useful.
The path finding becomes really slow.
Keeping all concepts…
Not all mentioned concepts are useful.
The path finding becomes really slow.
What happens if we keep the top X%?
0
10
20
30
40
50
60
0
2
4
6
8
10
12
14
0 10 20 30 40 50 60 70 80 90 100
Time (s)#paths
Amount of considered concepts (%)
Top 50% of found concepts gives similar paths,
but a lot faster
0
10
20
30
40
50
60
0
2
4
6
8
10
12
14
0 10 20 30 40 50 60 70 80 90 100
Time (s)#paths
Amount of considered concepts (%)
Top 50% of found concepts gives similar paths,
but a lot faster
Time-out
Optimized Results
@prefix schema: <http://schema.org/> .
@prefix nif: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>
@prefix itsrdf: <http://www.w3.org/2005/11/its/rdf#> .
@prefix dbr: <http://dbpedia.org/resource/> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix pg84: <http://www.gutenberg.org/ebooks/84.epub#> .
pg84:book a schema:Book .
pg84:book itsrdf:taIdentRef dbr:Chamois,
dbr:Desert,
...
http://uvdt.test.iminds.be/storyblinkdata/books
Storyblink
Exploring the links between classic works
Choose two books, and…
Storyblink
Next steps
Scale
Indirect paths
e.g. book about WWI and book about WWII
Relevancy measures
Knowledge base influence
Filtering influence
Storyblink
gives a semantic representation
of important semantic concepts
inside books, and uses those to connect
books together content-wise
http://uvdt.test.iminds.be/storyblink
Demo 48
Our project
The Publisher of the Future
Our pilot project partners:

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Exposing Digital Content as Linked Data

  • 1. Exposing Digital Content as Linked Data, and Linking them using StoryBlink Ben De Meester Tom De Nies, Laurens De Vocht, Ruben Verborgh, Erik Mannens, and Rik Van de Walle University Ghent – iMinds – Multimedia Lab ben.demeester@ugent.be | @Ben__DM NLPDBpedia2015@ISWC | October 11th 2015 | Bethlehem, PA
  • 2. We live in a fast world with a lot of content to sift through http://blog.qmee.com/qmee-online-in-60-seconds/
  • 4. Finding a good book in short time? Recommendations!
  • 6. What do we want? Automatic content-based metadata to fuel future recommendation-engines
  • 7. Content-based metadata Get the tags… DBPedia Spotlight ... use them to represent books’ content … EPUB CFI, NIF, ITS, … … and link to other books … in a good way. TPF, EiCE Storyblink!
  • 8. Get the tags Find out what a book is about… Semantic tags! Using NER/NED! Extract all semantic concepts from the book
  • 11. From a book to a semantic book … … Split HTML into chunks HTML to text Local Spotlight
  • 12. Represent a book by tags @prefix schema: <http://schema.org/> . @prefix nif: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#> . @prefix itsrdf: <http://www.w3.org/2005/11/its/rdf#> . @prefix dbr: <http://dbpedia.org/resource/> . @prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> . @prefix pg84: <http://www.gutenberg.org/ebooks/84.epub#> . pg84:book a schema:Book . pg84:epubcfi(/6/12!/4/2/4) itsrdf:taIdentRef dbr:Chamois ; nif:sourceUrl pg84:book . pg84:epubcfi(/6/2!/4/46[chap01]/16/42) itsrdf:taIdentRef dbr:Chamois ; nif:sourceUrl pg84:book . pg84:epubcfi(/6/12!/4/2/6) itsrdf:taIdentRef dbr:Desert ; nif:sourceUrl pg84:book . ...
  • 13. Represent a book by tags @prefix schema: <http://schema.org/> . @prefix nif: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#> . @prefix itsrdf: <http://www.w3.org/2005/11/its/rdf#> . @prefix dbr: <http://dbpedia.org/resource/> . @prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> . @prefix pg84: <http://www.gutenberg.org/ebooks/84.epub#> . pg84:book a schema:Book . pg84:epubcfi(/6/12!/4/2/4) itsrdf:taIdentRef dbr:Chamois ; nif:sourceUrl pg84:book . pg84:epubcfi(/6/2!/4/46[chap01]/16/42) itsrdf:taIdentRef dbr:Chamois ; nif:sourceUrl pg84:book . pg84:epubcfi(/6/12!/4/2/6) itsrdf:taIdentRef dbr:Desert ; nif:sourceUrl pg84:book . ...
  • 14. Link to other books Open Source Linked data path finding Multiple paths
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  • 20. Keeping all concepts… Not all mentioned concepts are useful. The path finding becomes really slow.
  • 21. Keeping all concepts… Not all mentioned concepts are useful. The path finding becomes really slow. What happens if we keep the top X%?
  • 22. 0 10 20 30 40 50 60 0 2 4 6 8 10 12 14 0 10 20 30 40 50 60 70 80 90 100 Time (s)#paths Amount of considered concepts (%) Top 50% of found concepts gives similar paths, but a lot faster
  • 23. 0 10 20 30 40 50 60 0 2 4 6 8 10 12 14 0 10 20 30 40 50 60 70 80 90 100 Time (s)#paths Amount of considered concepts (%) Top 50% of found concepts gives similar paths, but a lot faster Time-out
  • 24. Optimized Results @prefix schema: <http://schema.org/> . @prefix nif: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#> @prefix itsrdf: <http://www.w3.org/2005/11/its/rdf#> . @prefix dbr: <http://dbpedia.org/resource/> . @prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> . @prefix pg84: <http://www.gutenberg.org/ebooks/84.epub#> . pg84:book a schema:Book . pg84:book itsrdf:taIdentRef dbr:Chamois, dbr:Desert, ... http://uvdt.test.iminds.be/storyblinkdata/books
  • 25. Storyblink Exploring the links between classic works Choose two books, and…
  • 27. Next steps Scale Indirect paths e.g. book about WWI and book about WWII Relevancy measures Knowledge base influence Filtering influence
  • 28. Storyblink gives a semantic representation of important semantic concepts inside books, and uses those to connect books together content-wise http://uvdt.test.iminds.be/storyblink Demo 48
  • 29. Our project The Publisher of the Future Our pilot project partners:

Editor's Notes

  1. I would like to talk about representing large bodies of text to a small set of representative tags automatically, and how we can use that to find out how stories are related, so namely how we automatically exposed digital content as linked data, and link those semantic representations using an application we dubbed storyblink
  2. Not tf-idf because a book about paper  paper important
  3. … so please come and check our booth 48 to play around with storyblink