The Impact of Multifaceted Tagging on Learning Tag Relations and Search

Abstract

In this paper we present a model for multifaceted tagging, i.e. tagging enriched with contextual information. We present TagMe!, a social tagging front-end for Flickr images, that provides multifaceted tagging functionality: It enables users to attach tag assignments to a specific area within an image and to categorize tag assignments. Moreover, TagMe! maps tags and categories to DBpedia URIs to clearly define the meaning of freely-chosen words. Our experiments reveal the benefits of these additional tagging facets. For example, the exploitation of the facets significantly improves the performance of FolkRank-based search. Further, we demonstrate the benefits of TagMe! tagging facets for learning semantics within folksonomies.

DOI: 10.1007/978-3-642-13489-0_7

Extracted Key Phrases

5 Figures and Tables

Cite this paper

@inproceedings{Abel2010TheIO, title={The Impact of Multifaceted Tagging on Learning Tag Relations and Search}, author={Fabian Abel and Nicola Henze and Ricardo Kawase and Daniel Krause}, booktitle={ESWC}, year={2010} }