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
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
| Originalsprache | Englisch |
|---|---|
| DOIs | |
| Publikationsstatus | Veröffentlicht - 2009 |
Österreichische Systematik der Wissenschaftszweige (ÖFOS)
- 102
- 102001 Artificial Intelligence
- 102015 Informationssysteme
- 102022 Softwareentwicklung