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» Position Paper: Ontology Learning from Folksonomies
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CORR
2010
Springer
193views Education» more  CORR 2010»
13 years 3 months ago
A Probabilistic Approach for Learning Folksonomies from Structured Data
Learning structured representations has emerged as an important problem in many domains, including document and Web data mining, bioinformatics, and image analysis. One approach t...
Anon Plangprasopchok, Kristina Lerman, Lise Getoor
JODS
2006
186views Data Mining» more  JODS 2006»
13 years 4 months ago
Emergent Semantics from Folksonomies: A Quantitative Study
Defining and using ontology to annotate web resources with semantic markups is generally perceived as the primary way to implement the vision of the Semantic Web. The ontology prov...
Lei Zhang 0007, Xian Wu, Yong Yu
WWW
2011
ACM
12 years 11 months ago
Pragmatic evaluation of folksonomies
Recently, a number of algorithms have been proposed to obtain hierarchical structures — so-called folksonomies — from social tagging data. Work on these algorithms is in part ...
Denis Helic, Markus Strohmaier, Christoph Trattner...
DIS
2004
Springer
13 years 8 months ago
Extracting Positive Attributions from Scientific Papers
The aim of our work is to provide support for reading (or skimming) scientific papers. In this paper we report on the task to identify concepts or terms with positive attributions ...
Son Bao Pham, Achim G. Hoffmann
WWW
2007
ACM
14 years 5 months ago
Collaboratively Building Structured Knowledge with DBin: From del.icio.us Tags to an "RDFS Folksonomy"
DBin is a Semantic Web application that enables groups of users with a common interest to cooperatively create semantically structured knowledge bases. These user groups, which we...
Giovanni Tummarello, Christian Morbidoni