In this paper, we investigate the combination of collaborative tagging and emergent semantics for improved data navigation and search. We propose to use visual features in addition to tags provided by users in order to discover new relationships between data. We show that our method is able to overcome some of the problems involved in navigating databases using tags only, such as synonymy or different languages, spelling mistakes, homonymy, or missing tags. On the other hand, image search based on visual features can be simplified substantially by the use of tags. We present technical details of our prototype system and show some preliminary results.
%0 Conference Paper
%1 citeulike:3075423
%A Aurnhammer, Melanie
%A Hanappe, Peter
%A Steels, Luc
%B Proceedings WWW2006, Collaborative Web Tagging Workshop
%D 2006
%K folksonomy imageretrieval ir semantics tagging
%T Integrating Collaborative Tagging and Emergent Semantics for Image Retrieval
%U http://www.isrl.uiuc.edu/ãmag/langev/paper/aurnhammer06semanticsWWW.html
%X In this paper, we investigate the combination of collaborative tagging and emergent semantics for improved data navigation and search. We propose to use visual features in addition to tags provided by users in order to discover new relationships between data. We show that our method is able to overcome some of the problems involved in navigating databases using tags only, such as synonymy or different languages, spelling mistakes, homonymy, or missing tags. On the other hand, image search based on visual features can be simplified substantially by the use of tags. We present technical details of our prototype system and show some preliminary results.
@inproceedings{citeulike:3075423,
abstract = {In this paper, we investigate the combination of collaborative tagging and emergent semantics for improved data navigation and search. We propose to use visual features in addition to tags provided by users in order to discover new relationships between data. We show that our method is able to overcome some of the problems involved in navigating databases using tags only, such as synonymy or different languages, spelling mistakes, homonymy, or missing tags. On the other hand, image search based on visual features can be simplified substantially by the use of tags. We present technical details of our prototype system and show some preliminary results.},
added-at = {2009-01-02T12:31:47.000+0100},
author = {Aurnhammer, Melanie and Hanappe, Peter and Steels, Luc},
biburl = {https://www.bibsonomy.org/bibtex/206cde4d0ae4fc564abbb901d73b61bef/bumatic},
booktitle = {Proceedings WWW2006, Collaborative Web Tagging Workshop},
citeulike-article-id = {3075423},
interhash = {fe6ee22e5f84b706106cc2c3efcf6594},
intrahash = {06cde4d0ae4fc564abbb901d73b61bef},
keywords = {folksonomy imageretrieval ir semantics tagging},
month = May,
posted-at = {2008-11-22 15:08:35},
priority = {2},
timestamp = {2009-01-02T16:25:51.000+0100},
title = {Integrating Collaborative Tagging and Emergent Semantics for Image Retrieval},
url = {http://www.isrl.uiuc.edu/\~{}amag/langev/paper/aurnhammer06semanticsWWW.html},
year = 2006
}