This paper presents fuzzy clustering algorithms to establish a grassroots ontology - a machine-generated weak ontology - 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. Categories and Subject Descriptors I.2.3 (Deduction and Theorem Proving); Uncertainty, ``fuzzy,'' and probabilistic reasoning: H.3.3 (Information Search and Retrieval); Clustering
['Edy Portmann', 'Andreas Meier']
A Fuzzy Grassroots Ontology for improving Weblog Extraction