Locally Expandable Allocation of Folksonomy Tags in a Directed Acyclic Graph

Authors:
Takeharu Eda;Masatoshi Yoshikawa;Masashi Yamamuro
Affiliations:
NTT Cyber Space Laboratories, Japan and Kyoto University, Japan;Kyoto University, Japan;NTT Cyber Space Laboratories, Japan
Venue:
WISE '08 Proceedings of the 9th international conference on Web Information Systems Engineering
Year:
2008

Citing 11
Cited 1

Usage patterns of collaborative tagging systems

Journal of Information Science
Web Page Recommender System based on Folksonomy Mining for ITNG '06 Submissions

ITNG '06 Proceedings of the Third International Conference on Information Technology: New Generations
Visualizing tags over time

Proceedings of the 15th international conference on World Wide Web
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
Can social bookmarking enhance search in the web?

Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
Aspects of Broad Folksonomies

DEXA '07 Proceedings of the 18th International Conference on Database and Expert Systems Applications
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
Evaluating the semantic web: a task-based approach

ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference

Start Trusting Strangers? Bootstrapping and Prediction of Trust

WISE '09 Proceedings of the 10th International Conference on Web Information Systems Engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

We propose a new classification system based on an analysis of folksonomy data. To find valuable resources from current social bookmark services, users need to specify search terms or tags, or to discover people with similar interests. Our system uses semantic relationships extracted from the co-occurrences of folksonomy data using PLSI and allocates folksonomy tags in a directed acyclic graph. Compared to the hierarchical allocation method of a tree, our method guarantees the number of children nodes and increases the number of available paths to an objective node, enabling users to navigate the resources using tags.