FLOR
While the increasing popularity of Web2.0 and in particular folksonomies has lead to a vast quantity of tagged data, the resource retrieval is limited by them being agnostic to the meaning (i.e., semantics) of the tags. Our hypothesis is that by enriching folksonomies with formal semantics extracted from online ontologies the content retrieval of folksonomies can be significantly enhanced.
FLOR is a technique that performs automatic enrichment of folksonomy tags with semantics extracted from online ontologies and other background resources.
Publications:
Angeletou, Sofia, Sabou, Marta, Motta, Enrico, Improving folksonomies using formal knowledge: a case study on search
Angeletou, Sofia, Sabou, Marta, Motta, Enrico, Improving search in folksonomies: a task based comparison of WordNet and ontologies
Angeletou, Sofia, Sabou, Marta, Motta, Enrico, Folksonomy enrichment and search
Angeletou, Sofia, Sabou, Marta, Motta, Enrico, Semantically enriching folksonomies with FLOR
