Improving the Exploration of Tag Spaces Using Automated Tag Clustering

J Radelaar; A-J Boor; Damir Vandic; J-W van Dam; Frederik Hogenboom; Flavius Frasincar

Improving the Exploration of Tag Spaces Using Automated Tag Clustering

J Radelaar, A-J Boor, Damir Vandic, J-W van Dam, Frederik Hogenboom, Flavius Frasincar

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

7 Citations (Scopus)

Abstract

Due to the increasing popularity of tagging, it is important to overcome challenges resulting from the free nature of tagging, such as the use of synonyms, homonyms, syntactic variations, etc. The Semantic Tag Clustering Search (STCS) framework deals with these challenges by detecting syntactic variations of tags and by clustering semantically related tags. We evaluate our framework using Flickr data from 2009 and compare the STCS framework to two previously introduced tag clustering techniques. We conclude that our framework performs significantly better in terms of cluster precision compared to one method and has a better average precision compared to the other method.

Original language	English
Title of host publication	Eleventh International Conference on Web Engineering (ICWE 2011)
Editors	S. Auer, O. Díaz, G.A. Papadopoulos
Publisher	Springer-Verlag
Pages	274-288
Number of pages	15
Volume	6757
ISBN (Print)	9783642222320
Publication status	Published - 20 Jun 2011

Research programs

EUR ESE 32

Cite this

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title = "Improving the Exploration of Tag Spaces Using Automated Tag Clustering",

abstract = "Due to the increasing popularity of tagging, it is important to overcome challenges resulting from the free nature of tagging, such as the use of synonyms, homonyms, syntactic variations, etc. The Semantic Tag Clustering Search (STCS) framework deals with these challenges by detecting syntactic variations of tags and by clustering semantically related tags. We evaluate our framework using Flickr data from 2009 and compare the STCS framework to two previously introduced tag clustering techniques. We conclude that our framework performs significantly better in terms of cluster precision compared to one method and has a better average precision compared to the other method.",

author = "J Radelaar and A-J Boor and Damir Vandic and {van Dam}, J-W and Frederik Hogenboom and Flavius Frasincar",

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Improving the Exploration of Tag Spaces Using Automated Tag Clustering. / Radelaar, J; Boor, A-J; Vandic, Damir et al.
Eleventh International Conference on Web Engineering (ICWE 2011). ed. / S. Auer; O. Díaz; G.A. Papadopoulos. Vol. 6757 Springer-Verlag, 2011. p. 274-288.

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

TY - GEN

T1 - Improving the Exploration of Tag Spaces Using Automated Tag Clustering

AU - Radelaar, J

AU - Boor, A-J

AU - Vandic, Damir

AU - van Dam, J-W

AU - Hogenboom, Frederik

AU - Frasincar, Flavius

PY - 2011/6/20

Y1 - 2011/6/20

N2 - Due to the increasing popularity of tagging, it is important to overcome challenges resulting from the free nature of tagging, such as the use of synonyms, homonyms, syntactic variations, etc. The Semantic Tag Clustering Search (STCS) framework deals with these challenges by detecting syntactic variations of tags and by clustering semantically related tags. We evaluate our framework using Flickr data from 2009 and compare the STCS framework to two previously introduced tag clustering techniques. We conclude that our framework performs significantly better in terms of cluster precision compared to one method and has a better average precision compared to the other method.

AB - Due to the increasing popularity of tagging, it is important to overcome challenges resulting from the free nature of tagging, such as the use of synonyms, homonyms, syntactic variations, etc. The Semantic Tag Clustering Search (STCS) framework deals with these challenges by detecting syntactic variations of tags and by clustering semantically related tags. We evaluate our framework using Flickr data from 2009 and compare the STCS framework to two previously introduced tag clustering techniques. We conclude that our framework performs significantly better in terms of cluster precision compared to one method and has a better average precision compared to the other method.

M3 - Conference proceeding

SN - 9783642222320

VL - 6757

SP - 274

EP - 288

BT - Eleventh International Conference on Web Engineering (ICWE 2011)

A2 - Auer, S.

A2 - Díaz, O.

A2 - Papadopoulos, G.A.

PB - Springer-Verlag

ER -

Improving the Exploration of Tag Spaces Using Automated Tag Clustering

Abstract

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