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A Proposal of Community-based Folksonomy with RDF Metadata

By Ikki Ohmukai, Masahiro Hamasaki and Hideaki Takeda


Abstract. In this paper we propose a social bookmark system using sev-eral metadata and personal network to construct a community-based on-tology. Our system allows users to browse friends ’ bookmarks on his/her personal network. The user can map their own tags onto more than one tag from different friends so that they are linked to the user. The matchmaker-based recommendation and network expansion method will work efficiently because it is derived from personal interest and trust. We also design an RDF-based metadata framework to support the open and distributed model.

Year: 2005
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