Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Reorganizing clouds : a study on tag clustering and evaluation

Tools
- Tools
+ Tools

García-Plaza, Alberto P., Zubiaga, Arkaitz, Fresno, Víctor and Martínez, Raquel (2012) Reorganizing clouds : a study on tag clustering and evaluation. Expert Systems with Applications, Volume 39 (Number 10). pp. 9483-9493. doi:10.1016/j.eswa.2012.02.108 ISSN 0957-4174.

[img]
Preview
PDF
WRAP_tag-clustering-expert-systems.pdf - Accepted Version - Requires a PDF viewer.

Download (582Kb) | Preview
Official URL: http://dx.doi.org/10.1016/j.eswa.2012.02.108

Request Changes to record.

Abstract

Finding and visualizing semantic relations among tags within a tag cloud enhances user experience, particularly regarding access to and retrieval of web pages on social tagging systems. Several approaches have been proposed to visualize tag relations in these systems. However, results of previous research rely on qualitative evaluation methods, and do not provide robust and sound comparison criteria. In order to allow quantitative evaluation we present a benchmark social tagging dataset, where a subset of 140 tags from a well-known social bookmarking site, \textit{Delicious}, have been manually categorized according to the Open Directory Project (ODP). The manual categorization is utilized as a ground truth that enables quantitative evaluation providing a way of inferring the best of different clustering approaches. With this dataset we also explore different tag representation approaches to present a reorganized tag cloud by using Self Organizing Maps. In addition, we present an approach to enrich the resultant tag cloud with the most characteristic terms for each tag and group of tags, making possible a further filtered navigation, both by tag and document content, and easing a deeper qualitative evaluation of the clusters.

Item Type: Journal Article
Subjects: P Language and Literature > P Philology. Linguistics
Z Bibliography. Library Science. Information Resources > ZA Information resources
Divisions: Faculty of Science, Engineering and Medicine > Science > Computer Science
Library of Congress Subject Headings (LCSH): Social bookmarking, Cluster analysis
Journal or Publication Title: Expert Systems with Applications
Publisher: Pergamon-Elsevier Science Ltd.
ISSN: 0957-4174
Official Date: August 2012
Dates:
DateEvent
August 2012Published
18 February 2012Available
Volume: Volume 39
Number: Number 10
Page Range: pp. 9483-9493
DOI: 10.1016/j.eswa.2012.02.108
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Date of first compliant deposit: 29 December 2015
Date of first compliant Open Access: 29 December 2015
Funder: Madrid (Spain : Region), Spain. Ministerio de Ciencia e Innovación (MICINN)
Grant number: S2009/TIC- 1542 (Madrid), TIN2010-21128-C02 (MICINN)

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics

twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us