We propose an approach that unifies browsing by tags and visual features for intuitive exploration of image databases. In
contrast to traditional image retrieval approaches, we utilise tags provided by users on collaborative tagging sites, complementedby simple image analysis and classification. This allows us to find new relations between data elements. We introduce theconcept of a navigation map, that describes links between users, tags, and data elements for the example of the collaborativetagging site Flickr. We show that introducing similarity search based on image features yields additional links on this map.These theoretical considerations are supported by examples provided by our system, using data and tags from real Flickr users.
%0 Journal Article
%1 keyhere
%A Aurnhammer, Melanie
%A Hanappe, Peter
%A Steels, Luc
%D 2006
%J The Semantic Web - ISWC 2006
%K flickr folksonomy iim_socsoft image_retrieval tagging
%P 58--71
%T Augmenting Navigation for Collaborative Tagging with Emergent Semantics
%U http://dx.doi.org/10.1007/11926078_5
%X We propose an approach that unifies browsing by tags and visual features for intuitive exploration of image databases. In
contrast to traditional image retrieval approaches, we utilise tags provided by users on collaborative tagging sites, complementedby simple image analysis and classification. This allows us to find new relations between data elements. We introduce theconcept of a navigation map, that describes links between users, tags, and data elements for the example of the collaborativetagging site Flickr. We show that introducing similarity search based on image features yields additional links on this map.These theoretical considerations are supported by examples provided by our system, using data and tags from real Flickr users.
@article{keyhere,
abstract = {We propose an approach that unifies browsing by tags and visual features for intuitive exploration of image databases. In
contrast to traditional image retrieval approaches, we utilise tags provided by users on collaborative tagging sites, complementedby simple image analysis and classification. This allows us to find new relations between data elements. We introduce theconcept of a navigation map, that describes links between users, tags, and data elements for the example of the collaborativetagging site Flickr. We show that introducing similarity search based on image features yields additional links on this map.These theoretical considerations are supported by examples provided by our system, using data and tags from real Flickr users.},
added-at = {2008-01-30T16:09:57.000+0100},
author = {Aurnhammer, Melanie and Hanappe, Peter and Steels, Luc},
biburl = {https://www.bibsonomy.org/bibtex/203ab7d60d75c51fa45fcfcca01249c55/teresina},
description = {SpringerLink - Buchkapitel},
interhash = {a9d35e917da138f929b5d81f1dab4fd0},
intrahash = {03ab7d60d75c51fa45fcfcca01249c55},
journal = {The Semantic Web - ISWC 2006},
keywords = {flickr folksonomy iim_socsoft image_retrieval tagging},
pages = {58--71},
timestamp = {2008-01-30T16:09:58.000+0100},
title = {Augmenting Navigation for Collaborative Tagging with Emergent Semantics},
url = {http://dx.doi.org/10.1007/11926078_5},
year = 2006
}