An approach for evaluating User Model Data in an interoperability scenario
Francesca Carmagnola, Federica Cena · Starting AI Researchers' Symposium · 2006
A common vision, in user-adapted community, states that user model should be interoperable and shareable across applications in different contexts and environments. The core idea of our approach is that the interoperability of user model data lets to reach more effective adaptation results only if the exchanged data are reliable. In this paper we illustrate how the usage of Semantic Web techniques can support evaluation of data reliability, and thus improves this sharing.