Data mining can generally be defined as a technique for finding patterns (extraction) or
interesting information in large amounts of data that have meaning for decision support. One …

Social tagging on online portals has become a trend now. It has emerged as one of the best
ways of associating metadata with web objects. With the increase in the kinds of web objects …

The advent of online social networks has been one of the most exciting events in this
decade. Many popular online social networks such as Twitter, LinkedIn, and Facebook have …

The proposed survey discusses the topic of community detection in the context of Social
Media. Community detection constitutes a significant tool for the analysis of complex …

Online behavioral advertising (OBA) refers to the practice of tracking users across web sites
in order to infer user interests and preferences. These interests and preferences are then …

Collaborative tagging systems allow users to assign keywords—so called “tags”—to
resources. Tags are used for navigation, finding resources and serendipitous browsing and …

While tags in collaborative tagging systems serve primarily an indexing purpose, facilitating
search and navigation of resources, the use of the same tags by more than one individual …

In this paper, we describe how the BBC is working to integrate data and linking documents
across BBC domains by using Semantic Web technology, in particular Linked Data …

In this paper, we look at the" social tag prediction" problem. Given a set of objects, and a set
of tags applied to those objects by users, can we predict whether a given tag could/should …

Social bookmarking systems are becoming increasingly important data sources for
bootstrap** and maintaining Semantic Web applications. Their emergent information …