Semantically Enriching Folksonomies with FLOR
نویسندگان
چکیده
While the increasing popularity of folksonomies has lead to a vast quantity of tagged data, resource retrieval in these systems is limited by them being agnostic to the meaning (i.e., semantics) of tags. Our goal is to automatically enrich folksonomy tags (and implicitly the related resources) with formal semantics by associating them to relevant concepts defined in online ontologies. We introduce FLOR, a mechanism for automatic folksonomy enrichment by combining knowledge from WordNet and online ontologies. We experimentally tested FLOR on tag sets drawn from 226 Flickr photos and obtained a precision value of 93% and an approximate recall of 49%.
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