Aspects of Broad Folksonomies

Authors:
Mathias Lux;Michael Granitzer;Roman Kern
Affiliations:
Klagenfurt University, Austria;Know-Center, Austria;Know-Center, Austria
Venue:
DEXA '07 Proceedings of the 18th International Conference on Database and Expert Systems Applications
Year:
2007

Citing 0
Cited 6

A Comparative Study of Correlation Measurements for Searching Similar Tags

ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
Locally Expandable Allocation of Folksonomy Tags in a Directed Acyclic Graph

WISE '08 Proceedings of the 9th international conference on Web Information Systems Engineering
Instanced-Based Mapping between Thesauri and Folksonomies

ISWC '08 Proceedings of the 7th International Conference on The Semantic Web
The Effectiveness of Latent Semantic Analysis for Building Up a Bottom-up Taxonomy from Folksonomy Tags

World Wide Web
Social semantic cloud of tag: semantic model for social tagging

KES-AMSTA'08 Proceedings of the 2nd KES International conference on Agent and multi-agent systems: technologies and applications
Innovative directions in self-organized distributed multimedia systems

Multimedia Tools and Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

Folksonomies, collaboratively created sets of metadata, are becoming more and more important for organising information and knowledge of communites in the Web. While for a single user the difference to keyword assignment is marginal, the power of folksonomies emerges from the collaborative aspects. Folksonomies are already issue of research. Within this publication we analyse underlying statistical properties of broad folksonomies aiming to identify laws and characteristics, which allow inferring properties for folksonomy based retrieval. The actual benefit of folksonomies for retrieval and the derived methods are concluded from experiments with aggregated data from del.icio.us.