Emergent ontology discovered from folksonomies

摘要: Collaborative tagging websites or systems allow users to associate freely-determined keywords (tags) with a particular resource. The collection of users’ tags and resources is referred as folksonomy. Unlike traditional forms metadata, the meaning of, relationships between, are not rigorously defined, limiting usefulness tag-based metadata. We propose novel approach enrich by constructing tag ontology that captures semantic among tags. first consider regularities can be exploited in Then, we show how user-level vocabulary used for disambiguation. Following this, introduce distance model calculate relatedness two sets within folksonomy, use this develop method discovering relations. A series experiments conducted demonstrate effectiveness method. conclude thesis example cases where our applied improve folksonomy data organization queries. [illustration]