ESTEEM Emergent Semantics and cooperaTion in multi-knowledgE EnvironMents http://www.dis.uniroma1.it/∼esteem/ Programma di Ricerca Cofinanziato dal MIUR (Esercizio 2005) A survey of context models and a preliminary methodology for context driven data view definition C. Bolchini, C. Curino, E. Quintarelli, F. A. Schreiber, L. Tanca Sommario Very often we face the need of extracting appropriate data views from an integrated representation of the information space, and of defining, a posteriori, personalized views for the information stakeholders. The peer to peer scenario of the ESTEEM project introduces another interesting motivation behind the desire to define customized data views of a semantic community information, tailored on the peer’s interests. This report presents our context model, called Context Dimension Tree, which plays a fundamental role in tailoring the information space according to the user’s information needs, as well as an analysis of relevant features of context models, later used for classification and comparison. Data 25 Luglio 2006 Tipo di prodotto Rapporto tecnico Numero di pagine 25 Unit` a responsabile MIP Unit` a coinvolte MIP Autore da contattare Elisa Quintarelli Dipartimento di Elettronica e Informazione Politecnico di Milano P.zza L. da Vinci, 32, 20133 Milano, Italia quintare@elet.polimi.it