Semantically enriching folksonomies with FLOR

Sofia Angeletou, Reka Marta Sabou, Enrico Motta

Publication: Chapter in book/Conference proceedingContribution to conference proceedings


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%
Original languageEnglish
Title of host publicationProceedings of the First International Workshop on Collective Semantics: Collective Intelligence & the Semantic Web (CISWeb-2008), Tenerife, Spain, June 2, 2008. CEUR Workshop Proceedings, 2008, Vol.351
Editors Yannis Avrithis, Yiannis Kompatsiaris, Steffen Staab, Athena Vakali
Place of PublicationTeneriffa
PublisherCEUR Workshop Proceedings
Pages65 - 79
Publication statusPublished - 2008

Austrian Classification of Fields of Science and Technology (ÖFOS)

  • 102
  • 102001 Artificial intelligence
  • 102015 Information systems
  • 102022 Software development

Cite this