Folksonomy Enrichment and Search

Sofia Angeletou, Reka Marta Sabou, Enrico Motta

Publication: Contribution to conferenceConference poster

Abstract

The Semantic Web community has expressed its interest on
how the Semantic Web technology can be applied more efficiently in a
manner that supports real world applications. Additionally, the popular-
ity of social tagging systems has demonstrated a clear need for organi-
sation and more flexible ways of querying the user contributed content.
This work presents FLOR, a folksonomy enrichment algorithm, which
exploits a variety of knowledge sources to apply structure on the user
tagspaces. In addition, a query mechanism is presented demonstrating
how the enriched folksonomies structures can be interrogated by trans-
forming the user keyword queries on folksonomies to formal queries on
semantic structures. The first prototype of the FLOR enrichment algo-
rithm and a first instance of the query mechanism have been implemented
and a demonstration is available online
Original languageEnglish
DOIs
Publication statusPublished - 2009

Austrian Classification of Fields of Science and Technology (ÖFOS)

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

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