Elements of information theory
Elements of information theory
Document Clustering Using the 1 + 1 Dimensional Self-Organising Map
IDEAL '02 Proceedings of the Third International Conference on Intelligent Data Engineering and Automated Learning
Entity-based cross-document coreferencing using the Vector Space Model
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Exploring social annotations for the semantic web
Proceedings of the 15th international conference on World Wide Web
Improved annotation of the blogosphere via autotagging and hierarchical clustering
Proceedings of the 15th international conference on World Wide Web
tagging, communities, vocabulary, evolution
CSCW '06 Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work
Ontologies are us: A unified model of social networks and semantics
Web Semantics: Science, Services and Agents on the World Wide Web
Tag Meaning Disambiguation through Analysis of Tripartite Structure of Folksonomies
WI-IATW '07 Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
Can social bookmarking improve web search?
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Semantic Grounding of Tag Relatedness in Social Bookmarking Systems
ISWC '08 Proceedings of the 7th International Conference on The Semantic Web
The Determination of Semantic Dimension in Social Tagging System Based on SOM Model
IITA '08 Proceedings of the 2008 Second International Symposium on Intelligent Information Technology Application - Volume 01
Evaluating similarity measures for emergent semantics of social tagging
Proceedings of the 18th international conference on World wide web
TagClusters: Semantic Aggregation of Collaborative Tags beyond TagClouds
SG '09 Proceedings of the 10th International Symposium on Smart Graphics
Getting the most out of social annotations for web page classification
Proceedings of the 9th ACM symposium on Document engineering
Content-Based Clustering for Tag Cloud Visualization
ASONAM '09 Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining
A comparison of extrinsic clustering evaluation metrics based on formal constraints
Information Retrieval
A language model approach for tag recommendation
Expert Systems with Applications: An International Journal
A recommender system based on tag and time information for social tagging systems
Expert Systems with Applications: An International Journal
On the selection of tags for tag clouds
Proceedings of the fourth ACM international conference on Web search and data mining
An integrated approach to discover tag semantics
Proceedings of the 2011 ACM Symposium on Applied Computing
A semantic clustering-based approach for searching and browsing tag spaces
Proceedings of the 2011 ACM Symposium on Applied Computing
Comparing different layouts of tag clouds: Findings on visual perception
HCIV'09 Proceedings of the Second IFIP WG 13.7 conference on Human-computer interaction and visualization
Developing SFNN models to predict financial distress of construction companies
Expert Systems with Applications: An International Journal
Unsupervised system to classify SO2 pollutant concentrations in Salamanca, Mexico
Expert Systems with Applications: An International Journal
RESYGEN: A Recommendation System Generator using domain-based heuristics
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
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, 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.