Improving Tag-Clouds as Visual Information Retrieval Interfaces
Y. Hassan-Montero, and V. Herrero-Solana. InScit2006: International Conference on Multidisciplinary Information Sciences and Technologies, (2006)
Abstract
Tagging-based systems enable users to categorize web resources by
means of tags (freely chosen keywords), in order to re-finding these
resources later. Tagging is implicitly also a social indexing process,
since users share their tags and resources, constructing a social
tag index, so-called folksonomy. At the same time of tagging-based
system, has been popularised an interface model for visual information
retrieval known as Tag-Cloud. In this model, the most frequently
used tags are displayed in alphabetical order. This paper presents
a novel approach to Tag-Cloud�s tags selection, and proposes the
use of clustering algorithms for visual layout, with the aim of improve
browsing experience. The results suggest that presented approach
reduces the semantic density of tag set, and improves the visual
consistency of Tag-Cloud layout.
InScit2006: International Conference on Multidisciplinary Information Sciences and Technologies
year
2006
timestamp
2008.01.14
file
HaHe06.pdf:folksonomies\\HaHe06.pdf:PDF
owner
michael
misc
comment = proposes using k-clustering and some sort of semantic sorting
to refactor tag cloud layout to improve browsing. Not clear on how
they actually do it., priority = 0, citeulike-article-id = 2045619
%0 Conference Paper
%1 HaHe06
%A Hassan-Montero, Y.
%A Herrero-Solana, V.
%B InScit2006: International Conference on Multidisciplinary Information Sciences and Technologies
%D 2006
%K information master retrieval tagclouds tagging toVerify visualization
%T Improving Tag-Clouds as Visual Information Retrieval Interfaces
%U http://nosolousabilidad.com/hassan/improving_tagclouds.pdf
%X Tagging-based systems enable users to categorize web resources by
means of tags (freely chosen keywords), in order to re-finding these
resources later. Tagging is implicitly also a social indexing process,
since users share their tags and resources, constructing a social
tag index, so-called folksonomy. At the same time of tagging-based
system, has been popularised an interface model for visual information
retrieval known as Tag-Cloud. In this model, the most frequently
used tags are displayed in alphabetical order. This paper presents
a novel approach to Tag-Cloud�s tags selection, and proposes the
use of clustering algorithms for visual layout, with the aim of improve
browsing experience. The results suggest that presented approach
reduces the semantic density of tag set, and improves the visual
consistency of Tag-Cloud layout.
@inproceedings{HaHe06,
abstract = {Tagging-based systems enable users to categorize web resources by
means of tags (freely chosen keywords), in order to re-finding these
resources later. Tagging is implicitly also a social indexing process,
since users share their tags and resources, constructing a social
tag index, so-called folksonomy. At the same time of tagging-based
system, has been popularised an interface model for visual information
retrieval known as Tag-Cloud. In this model, the most frequently
used tags are displayed in alphabetical order. This paper presents
a novel approach to Tag-Cloud�s tags selection, and proposes the
use of clustering algorithms for visual layout, with the aim of improve
browsing experience. The results suggest that presented approach
reduces the semantic density of tag set, and improves the visual
consistency of Tag-Cloud layout.},
added-at = {2010-05-03T09:31:17.000+0200},
author = {Hassan-Montero, Y. and Herrero-Solana, V.},
biburl = {https://www.bibsonomy.org/bibtex/206f68f9fe46dc6d0f646d932e428dec9/ans},
booktitle = {InScit2006: International Conference on Multidisciplinary Information Sciences and Technologies},
file = {HaHe06.pdf:folksonomies\\HaHe06.pdf:PDF},
interhash = {4458142370e3c6a4fe656af2f822a0dc},
intrahash = {06f68f9fe46dc6d0f646d932e428dec9},
keywords = {information master retrieval tagclouds tagging toVerify visualization},
misc = {comment = {proposes using k-clustering and some sort of semantic sorting
to refactor tag cloud layout to improve browsing. Not clear on how
they actually do it.}, priority = {0}, citeulike-article-id = {2045619}},
owner = {michael},
timestamp = {2011-03-22T23:02:16.000+0100},
title = {Improving Tag-Clouds as Visual Information Retrieval Interfaces},
url = {http://nosolousabilidad.com/hassan/improving_tagclouds.pdf},
year = 2006
}