DMCA
Improving Tag-Clouds as Visual Information Retrieval Interfaces (2006)
| Venue: | MERÍDA, INSCIT2006 CONFERENCE |
| Citations: | 113 - 0 self |
BibTeX
@INPROCEEDINGS{Hassan-Montero06improvingtag-clouds,
author = {Yusef Hassan-Montero and Víctor Herrero-Solana},
title = {Improving Tag-Clouds as Visual Information Retrieval Interfaces},
booktitle = {MERÍDA, INSCIT2006 CONFERENCE},
year = {2006},
publisher = {}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
Tagging-based systems enable users to categorize web resources by means of tags (freely chosen keywords), in order to refinding 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.
Keyphrases
visual information retrieval interface web resource tag-cloud layout social tag index semantic density tagging-based system enable user alphabetical order tag-cloud tag selection visual information retrieval visual layout novel approach interface model improve browsing experience social indexing process tagging-based system so-called folksonomy visual consistency user share
