Towards effective browsing of large scale social annotations

This paper is concerned with the problem of browsing social annotations. Today, a lot of services (e.g., Del.icio.us, Filckr) have been provided for helping users to manage and share their favorite URLs and photos based on social annotations. Due to the exponential increasing of the social annotations, more and more users, however, are facing the problem how to effectively find desired resources from large annotation data. Existing methods such as tag cloud and annotation matching work well only on small annotation sets. Thus, an effective approach for browsing large scale annotation sets and the associated resources is in great demand by both ordinary users and service providers. In this paper, we propose a novel algorithm, namely Effective Large Scale Annotation Browser (ELSABer), to browse large-scale social annotation data. ELSABer helps the users browse huge number of annotations in a semantic, hierarchical and efficient way. More specifically, ELSABer has the following features:...

• Type: Conference
• Year: 2007
• Where: WWW
• Authors: Rui Li, Shenghua Bao, Yong Yu, Ben Fei, Zhong Su
• Keywords: Internet Technology, Large Scale Annotation, Large-scale Social Annotation, Social Annotations, WWW 2007