The ongoing rapid expansion of the Internet greatly increases the necessity of effective
recommender systems for filtering the abundant information. Extensive research for …

Crowdsourcing information systems are socio-technical systems that provide informational
products or services by harnessing the diverse potential of large groups of people via the …

Abstract With Linked Data, a very pragmatic approach towards achieving the vision of the
Semantic Web has gained some traction in the last years. The term Linked Data refers to a …

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

In the past decade, Social Tagging Systems have attracted increasing attention from both
physical and computer science communities. Besides the underlying structure and dynamics …

Purpose–This paper aims first to identify key interorganisational partnership types among
non-profit organisations (NPOs) and second to determine how knowledge sharing takes …

Knowledge elicitation consists of a set of techniques and methods that attempt to elicit the
knowledge of a domain expert,* typically through some form of direct interaction with the …

Social bookmarking is an emerging type of a Web service that helps users share, classify,
and discover interesting resources. In this paper, we explore the concept of an enhanced …

This paper gives an overview of current trends in manual indexing on the Web. Along with a
general rise of user generated content there are more and more tagging systems that allow …

This article examines the linguistic structure of folksonomy tags collected over a thirty-day
period from the daily tag logs of Del. icio. us, Furl, and Technorati. The tags were evaluated …