The Dynamics and Semantics of Collaborative Tagging
H. Shepard, H. Halpin, и V. Robu. Proc. of the 1st Semantic Authoring and Annotation Workshop (SAAW2006), (2006)
Аннотация
The debate within the Web community over the optimal means
by which to organize information often pits formalized classifications
against distributed collaborative tagging systems. A number
of questions remain unanswered, however, regarding the nature of
collaborative tagging systems including the dynamics of such systems
and whether coherent classification schemes can emerge from
undirected tagging by users. Currently millions of users are using
collaborative tagging without centrally organizing principles, and
many suspect this exhibits features considered to be indicative of a
complex system. If this is the case, it remains to be seem whether
collaborative tagging by users over time leads to emergent classi-
fication schemes that could be formalized into an ontology usable
by the Semantic Web.
This paper uses data from “popular” tagged sites on the social
bookmarking site del.icio.us to examine the dynamics of such collaborative
tagging systems. In particular, we are trying to determine
whether the distribution of tag frequencies stabilizes, which
indicates a degree of cohesion or consensus among users about the
optimal tags to describe particular sites. We use tag co-occurrence
networks for a sample domain of tags to analyze the meaning of
particular tags given their relationship to other tags and automatically
create an ontology. We also produce a generative model of
collaborative tagging in order to model and understand some of the
basic dynamics behind the process.
%0 Conference Paper
%1 HRS06
%A Shepard, Hana
%A Halpin, Harry
%A Robu, Valentin
%B Proc. of the 1st Semantic Authoring and Annotation Workshop (SAAW2006)
%D 2006
%K folksonomy collaborative tagging semantic
%T The Dynamics and Semantics of Collaborative Tagging
%U http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-209/saaw06-full01-halpin.pdf
%X The debate within the Web community over the optimal means
by which to organize information often pits formalized classifications
against distributed collaborative tagging systems. A number
of questions remain unanswered, however, regarding the nature of
collaborative tagging systems including the dynamics of such systems
and whether coherent classification schemes can emerge from
undirected tagging by users. Currently millions of users are using
collaborative tagging without centrally organizing principles, and
many suspect this exhibits features considered to be indicative of a
complex system. If this is the case, it remains to be seem whether
collaborative tagging by users over time leads to emergent classi-
fication schemes that could be formalized into an ontology usable
by the Semantic Web.
This paper uses data from “popular” tagged sites on the social
bookmarking site del.icio.us to examine the dynamics of such collaborative
tagging systems. In particular, we are trying to determine
whether the distribution of tag frequencies stabilizes, which
indicates a degree of cohesion or consensus among users about the
optimal tags to describe particular sites. We use tag co-occurrence
networks for a sample domain of tags to analyze the meaning of
particular tags given their relationship to other tags and automatically
create an ontology. We also produce a generative model of
collaborative tagging in order to model and understand some of the
basic dynamics behind the process.
@inproceedings{HRS06,
abstract = {The debate within the Web community over the optimal means
by which to organize information often pits formalized classifications
against distributed collaborative tagging systems. A number
of questions remain unanswered, however, regarding the nature of
collaborative tagging systems including the dynamics of such systems
and whether coherent classification schemes can emerge from
undirected tagging by users. Currently millions of users are using
collaborative tagging without centrally organizing principles, and
many suspect this exhibits features considered to be indicative of a
complex system. If this is the case, it remains to be seem whether
collaborative tagging by users over time leads to emergent classi-
fication schemes that could be formalized into an ontology usable
by the Semantic Web.
This paper uses data from “popular” tagged sites on the social
bookmarking site del.icio.us to examine the dynamics of such collaborative
tagging systems. In particular, we are trying to determine
whether the distribution of tag frequencies stabilizes, which
indicates a degree of cohesion or consensus among users about the
optimal tags to describe particular sites. We use tag co-occurrence
networks for a sample domain of tags to analyze the meaning of
particular tags given their relationship to other tags and automatically
create an ontology. We also produce a generative model of
collaborative tagging in order to model and understand some of the
basic dynamics behind the process.},
added-at = {2006-11-22T16:56:12.000+0100},
author = {Shepard, Hana and Halpin, Harry and Robu, Valentin},
biburl = {https://www.bibsonomy.org/bibtex/243b9d47930b99171c0443bc7f4b168af/deynard},
booktitle = {Proc. of the 1st Semantic Authoring and Annotation Workshop (SAAW2006)},
interhash = {86b08d03b5f0bd947fd9095dc2c9a70c},
intrahash = {43b9d47930b99171c0443bc7f4b168af},
keywords = {folksonomy collaborative tagging semantic},
timestamp = {2006-11-22T16:56:12.000+0100},
title = {The Dynamics and Semantics of Collaborative Tagging},
url = {http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-209/saaw06-full01-halpin.pdf},
year = 2006
}