A Cluster-Based Approach for Search and Exploration of Tag Spaces

J Radelaar; AJ Boor; Damir Vandic; Frederik Hogenboom; JW van Dam; Flavius Frasincar

A Cluster-Based Approach for Search and Exploration of Tag Spaces

J Radelaar, AJ Boor, Damir Vandic, Frederik Hogenboom, JW van Dam, Flavius Frasincar

Research output: Contribution to conference › Abstract › Academic

Abstract

Although Semantic Web technology is increasingly becoming more and more important, tagging remains a popular method to describe Web resources. Therefore it is important to address the issues that are found in current tagging search engines, such as Flickr. We find that the free nature of tagging results in many issues for tag search engines, such as synonyms, homonyms, syntactic variations, etc. The Semantic Tag Clustering Search (STCS) framework deals with these issues 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

Original language	English
Pages	421-422
Number of pages	2
Publication status	Published - 2 Nov 2011
Event	Twenty-Third Benelux Conference on Artificial Intelligence (BNAIC 2011) - Gent, Belgium Duration: 2 Nov 2011 → 3 Nov 2011

Conference

Conference	Twenty-Third Benelux Conference on Artificial Intelligence (BNAIC 2011)
City	Gent, Belgium
Period	2/11/11 → 3/11/11

Research programs

EUR ESE 32

Cite this

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title = "A Cluster-Based Approach for Search and Exploration of Tag Spaces",

abstract = "Although Semantic Web technology is increasingly becoming more and more important, tagging remains a popular method to describe Web resources. Therefore it is important to address the issues that are found in current tagging search engines, such as Flickr. We find that the free nature of tagging results in many issues for tag search engines, such as synonyms, homonyms, syntactic variations, etc. The Semantic Tag Clustering Search (STCS) framework deals with these issues 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",

author = "J Radelaar and AJ Boor and Damir Vandic and Frederik Hogenboom and {van Dam}, JW and Flavius Frasincar",

year = "2011",

month = nov,

day = "2",

language = "English",

pages = "421--422",

note = "Twenty-Third Benelux Conference on Artificial Intelligence (BNAIC 2011) ; Conference date: 02-11-2011 Through 03-11-2011",

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TY - CONF

T1 - A Cluster-Based Approach for Search and Exploration of Tag Spaces

AU - Radelaar, J

AU - Boor, AJ

AU - Vandic, Damir

AU - Hogenboom, Frederik

AU - van Dam, JW

AU - Frasincar, Flavius

PY - 2011/11/2

Y1 - 2011/11/2

N2 - Although Semantic Web technology is increasingly becoming more and more important, tagging remains a popular method to describe Web resources. Therefore it is important to address the issues that are found in current tagging search engines, such as Flickr. We find that the free nature of tagging results in many issues for tag search engines, such as synonyms, homonyms, syntactic variations, etc. The Semantic Tag Clustering Search (STCS) framework deals with these issues 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

AB - Although Semantic Web technology is increasingly becoming more and more important, tagging remains a popular method to describe Web resources. Therefore it is important to address the issues that are found in current tagging search engines, such as Flickr. We find that the free nature of tagging results in many issues for tag search engines, such as synonyms, homonyms, syntactic variations, etc. The Semantic Tag Clustering Search (STCS) framework deals with these issues 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

M3 - Abstract

SP - 421

EP - 422

T2 - Twenty-Third Benelux Conference on Artificial Intelligence (BNAIC 2011)

Y2 - 2 November 2011 through 3 November 2011

ER -

A Cluster-Based Approach for Search and Exploration of Tag Spaces

Abstract

Conference

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