Abstract
We propose a hypergraph-based user profile which facilitates aggregating partial profiles of the individual and obtain a complete, multi-domain user model. The aggregation involves a semantic enhancement procedure which results in enriched user profiles. The proposed user model is capable of extracting general and domainbased user profiles and answering several connected data queries such as recommendation, in reasonable time. In this paper, we present a recommendation case study which uses the proposed user model and illustrate the traversal algorithms for a variety of connected data problems.
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