Semantically Rich Recommendations in Social Networks for Sharing, Exchanging and Ranking Semantic Context

Recommender algorithms have been quite successfully employed in a variety of scenarios from filtering applications to recommendations of movies and books at Amazon.com. However, all these algorithms focus on single item recommendations and do not consider any more complex recommendation structures. This paper explores how semantically rich complex recommendation structures, represented as RDF graphs, can be exchanged and shared in a distributed social network. After presenting a motivating scenario we define several annotation ontologies we use in order to describe context information on the user desktop and show how our ranking algorithm can exploit this information. We discuss how social distributed networks and interest groups are specified using extended FOAF vocabulary, and how members of these interest groups share semantically rich recommendations in such a network. These recommendations transport shared context as well as ranking information, described in annotation ontologi...

• Type: Conference
• Year: 2005
• Where: SEMWEB
• Authors: Stefania Ghita, Wolfgang Nejdl, Raluca Paiu
• Keywords: Annotation Ontologies, Complex Recommendation Structures, Context Information, SEMWEB 2005