Presentation at Metadata and Semantic Research (MTSR), November 30th, 2012.

1. Linking Folksonomies to Knowledge Organization
Systems
Jakob Voß (VZG)
Metadata and Semantic Research (MTSR), November 30th,
2012

2. Social Tagging and Folksonomies
Wikipedia and Stack Exchange
Linking Folksonomies to KOS
Results

3. Section 1
Social Tagging and Folksonomies

4. Social Tagging
Keywords/tags manually assigned to documents by
members of a distributed community of volunteers
Tags freely chosen (or easy to create new)
Outcome of tagging activity in a tagging system:
Folksonomy

5. Properties of Social Tagging
Tagging systems are very dynamic
— especially compared to normal KOS
Different types of tagging systems exist:
— don’t compare apples and oranges!
source of resources
tagging rights, tagging support, tag management
tag aggregation
tag connectivity

6. Tag aggregation: Bag-Model

7. Tag aggregation: Bag-Model

8. Tag aggregation: Set-Model

9. Tag aggregation: Set-Model

10. Folksonomies in set-model tagging systems
Dynamic knowledge organization systems
created by communities of distributed volunteers
Directly given as snapshot of community consensus
Limited awareness among community members
Two popular examples:
Categories in Wikipedia
Tags in Stack Exchange

11. Section 2
Wikipedia and Stack Exchange

12. Categories in Wikipedia

13. folksonomy is a thesaurus

14. Tags in Stack Exchange
tags in a question
anyone can edit tags (after a while)
folksonomy is a flat file of keywords (with some synonyms)

15. Section 3
Linking Folksonomies to KOS

16. Knowledge Organization Systems (KOS)
Classifications, thesauri, taxonomies, authority files. . .
Common model of KOS for exchange and interlinking:
Simple Knowledge Organization System (SKOS):
<http://example.org/a> a skos:Concept ;
skos:broader <http://example.org/b> ;
skos:narrower <http://example.org/c> ;
skos:related <http://example.org/d> ;
skos:exactMatch <http://example.com/A> ;
skos:closeMatch <http://example.com/aa> .

17. Harvest and SKOSify folksonomy

18. Additional links from tag names
Reuse of Computing Research Repository (CoRR) notations

19. Mapping to CoRR classification
@prefix cst: <http://cstheory.stackexchange.com/tags/> .
[ skos:notation "LO";
skos:prefLabel "Logic in Computer Science"@en ]
skos:closeMatch cst:lo.logic .
[ skos:notation "DS" ;
skos:prefLabel "Data Structures and Algorithms"@en ]
skos:narrowMatch
cst:ds.algorithms ,
cst:ds.data-structures .

20. Feedback of enrichment and links into the community

21. Enrichtment of tag description in Wikipedia

22. Enrichtment of tag description in Wikipedia
<http://de.dbpedia.org/resource/Kategorie:H%C3%B6rspiel>
a skos:Concept ; skos:prefLabel "H¨rspiel"@de ;
o
skos:narrowMatch
<http://data.bib.uni-mannheim.de/data/rvk/AP_36320> ,
<http://data.bib.uni-mannheim.de/data/rvk/EC_7980> ;
skos:closeMatch
<http://dewey.info/class/791.447/> , # DDC
<http://d-nb.info/gnd/4025435-5> . # GND

23. Enrichtment of tag description in Stack Exchange

24. Enrichtment of tag description in Stack Exchange
@prefix libse: <http://libraries.stackexchange.com/tags/>
libse:ils a skos:Concept ;
skos:broader
libse:software ;
skos:narrower
libse:circulation> ,
libse:collection-management ,
libse:cataloging> ,
libse:opac ;
skos:closeMatch
<http://dbpedia.org/resource/Integrated_library_system>
<http://id.loc.gov/authorities/subjects/sh95003216> ,
<http://eprints.rclis.org/handle/10760/3775> ,
<http://d-nb.info/gnd/4583297-3> .

25. Feedback of enrichment and links into the community
Feedback with additional benefit: find related documents
One must be able to directly link to a rich collected of
documents indexed with the concept notation/identifier of
each KOS

26. Section 4
Results

27. hierarchical links

28. Mappings to other KOS
Published in SKOS/RDF as shown
Simple mappings in form of BEACON files
#PREFIX: http://libraries.stackexchange.com/tags/
#RELATION: http://www.w3.org/2004/02/skos/core#closeMatch
ils|http://dbpedia.org/resource/Integrated_library_system
ils|http://id.loc.gov/authorities/subjects/sh95003216
ils|http://eprints.rclis.org/handle/10760/3775
ils|http://d-nb.info/gnd/4583297-3
archives|http://eprints.rclis.org/handle/10760/3660

29. Outcome and Benefits
Show related documents
guide people from communities to collections
Catalog enrichment
guide people from collections to communities
Collection analysis

30. Compare collections with measuring at one KOS
Collection of papers at arXiv.org compared to question at
theoretical computer science Stack Exchange:
complexity theory is asked much more then published
information theory is published much more then asked about

31. References
Scripts and data harvested available at
http://github.com/nichtich/se2skos.
Source of paper and slides available at
http://github.com/jakobib/mtsr2012.
Both Wikipedia and Stack Exchange data available under
CC-BY-SA accessible via open APIs:
http://stackapps.com/
http://en.wikipedia.org/w/api.php
Icons CC-BY based on picol.org