Matches in ScholarlyData for { ?s ?p This thesis investigates the unification of folksonomies and ontologies in such a way that the resulting structures can better support exploration and search on the World Wide Web. First, an integrated computational method is employed to extract the ontological structures from folksonomies. It exploits the power of low support association rule mining supplemented by an upper ontology such as WordNet. Promising results have been obtained from experiments on Flickr and Citeulike. Next, a crowdsourcing method is introduced to channel online usersâ•˙ search efforts to help to evolve the extracted ontology.. }
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- 11 abstract "This thesis investigates the unification of folksonomies and ontologies in such a way that the resulting structures can better support exploration and search on the World Wide Web. First, an integrated computational method is employed to extract the ontological structures from folksonomies. It exploits the power of low support association rule mining supplemented by an upper ontology such as WordNet. Promising results have been obtained from experiments on Flickr and Citeulike. Next, a crowdsourcing method is introduced to channel online usersâ•˙ search efforts to help to evolve the extracted ontology.".