Credibility of Digital Content in a Healthcare Collaborative Community

  • Wail M. Omar
  • Dinesh K. Saini
  • Mustafa Hasan
Part of the Advances in Experimental Medicine and Biology book series (AEMB, volume 696)


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.


Digital Library Digital Content Semantic Distance Healthcare Community Collaborative Community 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Faculty of Computing and Information TechnologySohar UniversitySoharSultanate of Oman

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