Collective Intelligence in Collaborative Tagging System

Recently, a new form of organizing, sharing and finding information, named tagging, has gained importance because its results are the product of the combined efforts of the actual users’ opinions of the information. In this paper, we explore the conceptual model of the del.icio.us tagging system in...

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Main Author: Yang, Xiaoyin
Language:en
Published: 2009
Subjects:
Online Access:http://hdl.handle.net/10012/4791
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spelling ndltd-WATERLOO-oai-uwspace.uwaterloo.ca-10012-47912013-01-08T18:52:44ZYang, Xiaoyin2009-10-02T16:27:31Z2009-10-02T16:27:31Z2009-10-02T16:27:31Z2009http://hdl.handle.net/10012/4791Recently, a new form of organizing, sharing and finding information, named tagging, has gained importance because its results are the product of the combined efforts of the actual users’ opinions of the information. In this paper, we explore the conceptual model of the del.icio.us tagging system in order to investigate the degree to which the tagging system’s conceptual model reflects the human conceptual knowledge structure at both the population level and the individual level. We use datasets extracted from the del.icio.us system from 2003 to 2007 to obtain the strength of connection among tags, and compare that with data for the association of the same concepts by actual human beings. The results show that, overall, the conceptual model for the del.icio.us tagging system captures human’s notion of concept similarity. Several potential applications are mentioned.enCollective Intelligence in Collaborative Tagging SystemThesis or DissertationManagement SciencesMaster of Applied ScienceManagement Sciences
collection NDLTD
language en
sources NDLTD
topic Management Sciences
spellingShingle Management Sciences
Yang, Xiaoyin
Collective Intelligence in Collaborative Tagging System
description Recently, a new form of organizing, sharing and finding information, named tagging, has gained importance because its results are the product of the combined efforts of the actual users’ opinions of the information. In this paper, we explore the conceptual model of the del.icio.us tagging system in order to investigate the degree to which the tagging system’s conceptual model reflects the human conceptual knowledge structure at both the population level and the individual level. We use datasets extracted from the del.icio.us system from 2003 to 2007 to obtain the strength of connection among tags, and compare that with data for the association of the same concepts by actual human beings. The results show that, overall, the conceptual model for the del.icio.us tagging system captures human’s notion of concept similarity. Several potential applications are mentioned.
author Yang, Xiaoyin
author_facet Yang, Xiaoyin
author_sort Yang, Xiaoyin
title Collective Intelligence in Collaborative Tagging System
title_short Collective Intelligence in Collaborative Tagging System
title_full Collective Intelligence in Collaborative Tagging System
title_fullStr Collective Intelligence in Collaborative Tagging System
title_full_unstemmed Collective Intelligence in Collaborative Tagging System
title_sort collective intelligence in collaborative tagging system
publishDate 2009
url http://hdl.handle.net/10012/4791
work_keys_str_mv AT yangxiaoyin collectiveintelligenceincollaborativetaggingsystem
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