TY  - JOUR
AU  - Begelman, G.
AU  - Keller, P.
AU  - Smadja, F.
T1  - Automated Tag Clustering: Improving search and exploration in the tag space
JO  - WWW2006, May
PY  - 2006/
VL  - 
IS  - 
SP  - 22
EP  - 26
UR  - http://www.pui.ch/phred/automated_tag_clustering/
M3  - 
KW  - clustering
KW  - kdubiq
KW  - sosbuch
KW  - summerschool
KW  - tagging
KW  - taggingsurvey
KW  - toread
L1  - 
SN  - 
N1  - 
N1  - 
AB  - 
ER  -

TY  - CONF
AU  - Dubinko, M.
AU  - Kumar, R.
AU  - Magnani, J.
AU  - Novak, J.
AU  - Raghavan, P.
AU  - Tomkins, A.
A2  - 
T1  - Visualizing Tags over Time
T2  - Proceedings of the 15th International WWW Conference
PB  - 
CY  - 
PY  - 2006/05
M2  - 
VL  - 
IS  - 
SP  - 
EP  - 
UR  - http://www2006.org/programme/item.php?id=25
M3  - 
KW  - folksonomy
KW  - seminar2006
KW  - sosbuch
KW  - tag
KW  - time
KW  - visualizing
L1  - 
SN  - 
N1  - 
N1  - 
AB  - 
ER  -

TY  - RPRT
AU  - Heymann, Paul
AU  - Garcia-Molina, Hector
A2  - 
T1  - Collaborative Creation of Communal Hierarchical Taxonomies in Social Tagging Systems
PB  - Computer Science Department
AD  - 
PY  - 2006/04
VL  - 
IS  - 2006-10
SP  - 
EP  - 
UR  - http://dbpubs.stanford.edu:8090/pub/2006-10
M3  - 
KW  - clustering
KW  - collaborative
KW  - folksonomy
KW  - kdubiq
KW  - ol
KW  - social
KW  - sosbuch
KW  - summerschool
KW  - tagging
KW  - taggingsurvey
KW  - taxonomy
KW  - webzu
L1  - 
N1  - 
N1  - 
N1  - 
AB  - Collaborative tagging systems---systems where many casual users annotate objects with free-form strings (tags) of their choosing---have recently emerged as a powerful way to label and organize large collections of data. During our recent investigation into these types of systems, we discovered a simple but remarkably effective algorithm for converting a large corpus of tags annotating objects in a tagging system into a navigable hierarchical taxonomy of tags. We first discuss the algorithm and then present a preliminary model to explain why it is so effective in these types of systems.
ER  -

TY  - CONF
AU  - Millen, David R.
AU  - Feinberg, Jonathan
AU  - Kerr, Bernard
A2  - 
T1  - Dogear: Social bookmarking in the enterprise
T2  - CHI '06: Proceedings of the SIGCHI conference on Human Factors in computing systems
PB  - ACM Press
CY  - New York, NY, USA
PY  - 2006/
M2  - 
VL  - 
IS  - 
SP  - 111
EP  - 120
UR  - 
M3  - http://doi.acm.org/10.1145/1124772.1124792
KW  - bookmarking
KW  - folksonomy
KW  - intranet
KW  - social
KW  - sosbuch
L1  - 
SN  - 1-59593-372-7
N1  - Dogear
N1  - 
AB  - 
ER  -

TY  - CONF
AU  - Schmitz, Patrick
A2  - 
T1  - Inducing Ontology from Flickr Tags.
T2  - Collaborative Web Tagging Workshop at WWW2006, Edinburgh, Scotland
PB  - 
CY  - 
PY  - 2006/05
M2  - 
VL  - 
IS  - 
SP  - 
EP  - 
UR  - http://www.ibiblio.org/www_tagging/2006/22.pdf
M3  - 
KW  - clustering
KW  - folksonomy
KW  - learning
KW  - ol
KW  - ontology
KW  - semantic
KW  - sosbuch
KW  - tagging
KW  - taggingsurvey
KW  - toread
KW  - webzu
L1  - 
SN  - 
N1  - 
N1  - 
AB  - 
ER  -

TY  - CONF
AU  - Mika, Peter
A2  - 
T1  - Ontologies Are Us: A Unified Model of Social Networks and Semantics
T2  - International Semantic Web Conference
PB  - Springer
CY  - 
PY  - 2005/
M2  - 
VL  - 
IS  - 
SP  - 522
EP  - 536
UR  - http://www.cs.vu.nl/~pmika/research/papers/ISWC-folksonomy.pdf
M3  - 10.1007/11574620_38
KW  - 2.0
KW  - clustering
KW  - folksonomy
KW  - kdubiq
KW  - ontology
KW  - semantic
KW  - socialsoftware
KW  - sosbuch
KW  - summerschool
KW  - tagging
KW  - taggingsurvey
KW  - web
L1  - 
SN  - 
N1  - 
N1  - 
AB  - 
ER  -

TY  - JOUR
AU  - Staab, S.
AU  - Santini, S.
AU  - Nack, F.
AU  - Steels, L.
AU  - Maedche, A.
T1  - Emergent semantics
JO  - Intelligent Systems, IEEE [see also IEEE Expert]
PY  - 2002/
VL  - 17
IS  - 1
SP  - 78
EP  - 86
UR  - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=988491
M3  - 
KW  - emergent
KW  - semantic
KW  - sosbuch
KW  - staab
L1  - 
SN  - 
N1  - 
N1  - 
AB  - The article discusses ways to let semantics emerge from simple observations from the bottom-up, rather than imposing concepts on the observations top-down, to provide precise query, retrieval, communication or translation for a wide variety of applications. The following areas are examined: image retrieval and databases; media information spaces including the Semantic Web and MPEG frameworks; language games for emergent semantics; and emergent semantics for ontologies
ER  -

TY  - JOUR
AU  - Steels, L.
T1  - The Origins of Ontologies and Communication Conventions in Multi-Agent Systems
JO  - Autonomous Agents and Multi-Agent Systems
PY  - 1998/october
VL  - 1
IS  - 2
SP  - 169
EP  - 194
UR  - http://www.isrl.uiuc.edu/~amag/langev/paper/steels98theOrigins.html
M3  - 
KW  - agent
KW  - ontologies
KW  - sosbuch
L1  - 
SN  - 
N1  - kdd
N1  - 
AB  - 
ER  -