Linking Folksonomies to Knowledge OrganizationSystems

Jakob Voß (VZG)

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

Social Tagging and Folksonomies

Wikipedia and Stack Exchange

Linking Folksonomies to KOS

Results

Section 1

Social Tagging and Folksonomies

Social Tagging

I Keywords/tags manually assigned to documents bymembers of a distributed community of volunteers

I Tags freely chosen (or easy to create new)

I Outcome of tagging activity in a tagging system:Folksonomy

Properties of Social Tagging

I Tagging systems are very dynamic— especially compared to normal KOS

I Different types of tagging systems exist:— don’t compare apples and oranges!

I source of resourcesI tagging rights, tagging support, tag managementI tag aggregationI tag connectivity

Tag aggregation: Bag-Model

Tag aggregation: Bag-Model

Tag aggregation: Set-Model

Tag aggregation: Set-Model

Folksonomies in set-model tagging systems

Dynamic knowledge organization systemscreated by communities of distributed volunteers

I Directly given as snapshot of community consensus

I Limited awareness among community members

I Two popular examples:

I Categories in WikipediaI Tags in Stack Exchange

Section 2

Wikipedia and Stack Exchange

Categories in Wikipedia

I folksonomy is a thesaurus

Tags in Stack Exchange

I tags in a questionI anyone can edit tags (after a while)I folksonomy is a flat file of keywords (with some synonyms)

Section 3

Linking Folksonomies to KOS

Knowledge Organization Systems (KOS)

I Classifications, thesauri, taxonomies, authority files. . .

I 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> .

Harvest and SKOSify folksonomy

Additional links from tag names

I Reuse of Computing Research Repository (CoRR) notations

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 .

Feedback of enrichment and links into the community

Enrichtment of tag description in Wikipedia

Enrichtment of tag description in Wikipedia

<http://de.dbpedia.org/resource/Kategorie:H%C3%B6rspiel>

a skos:Concept ; skos:prefLabel "Horspiel"@de ;

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

Enrichtment of tag description in Stack Exchange

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> .

Feedback of enrichment and links into the community

I Feedback with additional benefit: find related documents

I One must be able to directly link to a rich collected ofdocuments indexed with the concept notation/identifier ofeach KOS

Section 4

Results

hierarchical links

Mappings to other KOS

I Published in SKOS/RDF as shown

I 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

Outcome and Benefits

I Show related documentsguide people from communities to collections

I Catalog enrichmentguide people from collections to communities

I Collection analysis

Compare collections with measuring at one KOS

Collection of papers at arXiv.org compared to question attheoretical computer science Stack Exchange:

I complexity theory is asked much more then published

I information theory is published much more then asked about

References

I Scripts and data harvested available athttp://github.com/nichtich/se2skos.

I Source of paper and slides available athttp://github.com/jakobib/mtsr2012.

I Both Wikipedia and Stack Exchange data available underCC-BY-SA accessible via open APIs:

I http://stackapps.com/I http://en.wikipedia.org/w/api.php

I Icons CC-BY based on picol.org