Name
Abstract | ||
|---|---|---|
The emergence of collaborative tagging systems with their underlying flat and uncontrolled re- source organization paradigm has led to a large number of research activities focussing on a for- mal description and analysis of the resulting "folksonomies". An interesting outcome is that the characteristic qualities of these systems seem to be inverse to more traditional knowledge struc- turing approaches like taxonomies or ontologies: The latter provide rich and precise semantics, but suffer - amongst others - from a knowledge ac- quisition bottleneck. An important step towards exploiting the possible synergies by bridging the gap between both paradigms is the automatic ex- traction of relations between tags in a folkson- omy. This position paper presents preliminary results of ongoing work to induce hierarchical re- lationships among tags by analyzing the aggre- gated data of collaborative tagging systems as a basis for an ontology learning procedure. |
Year | Venue | Keywords |
|---|---|---|
2007 | LWA | facilitating a,collaborative tagging systems feature another structur- ing paradigm: each user can assign one or more arbitrary keywords or tags to each of his resources,traditional knowledge |
Field | DocType | Citations |
Ontology (information science),Ontology-based data integration,Process ontology,Information retrieval,Computer science,Folksonomy,Suggested Upper Merged Ontology,Upper ontology,Ontology learning,Semantics | Conference | 3 |
PageRank | References | Authors |
0.39 | 5 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dominik Benz | 1 | 500 | 21.61 |
| Andreas Hotho | 2 | 3232 | 210.84 |