Todays WWW consists of more than just information. The WWW provides a large number of services, which often require identification of it's users. This has lead to the fact that today users have to maintain a large number of different credentials for different websitesdistributed or shared identification system are not widely deployed. Furthermore current authorisation systems requires strict centralisation of the authorisation procedure-users themselves are usually not enabled to authorise their trusted friends to access services, although often this would be beneficial for services and businesses on the Web. In this article we present D-FOAF, a distributed identity management system which deploys social networks. We show how information inherent in social networks can be utilised to provide community driven access rights delegation and we analyse algorithms for managing distributed identity, authorisation and access rights checking. Finally we show how the social networking information can be protected in a distributed environment.
Abstract. Growing abundance of information on the Internet, especially the Next Generation Internet, poses even more challenges on more efficient information management; hence it has brought attention of the researchers to the faceted navigation. Existing solutions, however, do not address the majority of users, who are still inexperienced in using the faceted navigation solutions or who do not understand underlying concepts of the Semantic Web technologies, or both. The query refinement process, while using the faceted navigation interface, is more complex than, e.g., refining a simple keyword-based query. In this article we present MultiBeeBrowse (MBB), an accessible faceted navigation solution that solves aforementioned problems in the browsing environment. We present how to improve users' access to their history of refinements; we discuss how users can share their browsing experience. And last bust not least, we present an adaptable user interface, which aims to decrease information overload.
E-Learning grows on the fertile soil of the Internet technologies; it fails, however, to reach their full potential. With new, emerging technologies of the second generation Internet there is even more to be captured and adopted: knowledge sharing with blogs, wikis, and social bookmarking services. In this article we argue that those technologies can be adapted to improve user experience in e-Learning; we present an online social bookmarking system called social semantic collaborative filtering. SSCF supports SIOC metadata which ultimately transforms it in to a browser of blogs, fora, and other community sites. We show how a digital library system, such as JeromeDL, utilizing this technology can be used in the e-Learning process, which takes advantage of recent research in the Internet.
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