Abstract
Search in folksonomies is hampered by the fact that the
meaning of tags and their relations are not made explicit in
the system. This is typically addressed by using knowledge
sources (KS) to semantically enrich tagspaces, most nota-
bly WordNet and (online) ontologies. However, there is no
insight of how the different characteristics of these KS con-
tribute to search improvement in folksonomies. In this
work we compare these two KS in the context of folkso-
nomy search. We show that wh ile WordNet leads to richer
tag structures than online ontologies do, its fine-grained
sense hierarchy renders these structures less effective in
search compared to the ones generated from ontologies.
meaning of tags and their relations are not made explicit in
the system. This is typically addressed by using knowledge
sources (KS) to semantically enrich tagspaces, most nota-
bly WordNet and (online) ontologies. However, there is no
insight of how the different characteristics of these KS con-
tribute to search improvement in folksonomies. In this
work we compare these two KS in the context of folkso-
nomy search. We show that wh ile WordNet leads to richer
tag structures than online ontologies do, its fine-grained
sense hierarchy renders these structures less effective in
search compared to the ones generated from ontologies.
| Original language | English |
|---|---|
| Publication status | Published - 2009 |
Austrian Classification of Fields of Science and Technology (ÖFOS)
- 102
- 102001 Artificial intelligence
- 102015 Information systems
- 102022 Software development