title: Credibility of digital content in a healthcare collaborative community.
abstract: With the increased number of new diseases that are appearing in the world, such as swine flu [influenza A(H1N1)], and the increased awareness of the importance of sharing medical ideas, information, experience, knowledge, and research results, there is an urgent demand for a collaboration framework. Such a framework depends on deploying, discovering, and using digital content. This inevitably leads to the generation of large amounts of digital content from different healthcare users, which requires massive resources to process, store, and retrieve them. Moreover, the digital content currently suffers from a lack of credibility, which is vital in healthcare applications. Thus, this chapter discusses briefly how grid computing can boost Web 2.0 communities. In addition, the chapter discusses a proposed scenario for offering a way of measuring the credibility of the published digital content.
authors: Faculty of Computing and Information Technology, Sohar University, 44, P.C. 311, Sohar, Sultanate of Oman. w.omar@soharuni.edu.om
authors: Wail M
authors: WM
authors: Omar
authors: Dinesh K
authors: DK
authors: Saini
authors: Mustafa
authors: M
authors: Hasan
mesh_terms: D000465:Algorithms; D019295:Computational Biology; D003199:Computer Systems; D003299:Cooperative Behavior; D003695:Delivery of Health Care / Q000706:statistics & numerical data*; D006801:Humans; D053118:Influenza A Virus, H1N1 Subtype; D007251:Influenza, Human / Q000453:epidemiology; D007256:Information Systems; D020407:Internet