Publication | Closed Access
Sharing information across community portals with FOAFRealm
10
Citations
10
References
2009
Year
EngineeringCollaborative Information RetrievalCommunity SiteInformation SharingCommunicationSemantic WebComputational Social ScienceSocial Semantic WebSocial MediaInformation RetrievalData ScienceSocial SearchData IntegrationData SharingSocial Network AnalysisCommunity PortalsCommunity NetworkKnowledge DiscoveryPersonalized SearchInformation ManagementMultiple Community PortalsSocial ComputingBusinessSemantic Social Network
Community portals such as blogs, wikis and photo-sharing sites have become the new channels for information dissemination on the web. They contain a huge amount of valuable information that is often voluntarily delivered by experts. The most useful results of searching the web very often come from some sort of a community site. We present a method of sharing information across multiple community portals through a Social Semantic Collaborative Filtering (SSCF) system. It utilises FOAFRealm, a user profile management system which extends the popular 'Friend of a Friend' (FOAF) metadata and enables users to share the bookmarks and community documents that they create. Moreover, the proposed solution allows both a seamless connection of different portals and the easy identification of contributors. We describe the required infrastructure, including the components that enable content sharing and browsing. Finally, we demonstrate a verification of our idea.
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