A Fuzzy Grassroots Ontology for Improving Weblog Extraction
Edy Portmann, Andreas Meier
Journal of Digital Information Management, Vol. 8, No. 4, 2010.
DOI: 
Link: http://www.dline.info/fpaper/jdim/v8i4/8.pdf
Abstract:
This paper presents fuzzy clustering algorithms to establish a grassroots ontology â€“ a machine-generated weak ontology â€“ based on folksonomies. Furthermore, it describes a search engine for vaguely associated terms and aggregates them into several meaningful cluster categories, based on the introduced weak grassroots ontology. A potential application of this ontology, weblog extraction, is illustrated using a simple example. Added value and possible future studies are discussed in the conclusion.