A common vision in user-adapted community states that user model should be interoperable and shareable across applications in different contexts and environments. In this paper we reason on how the usage of Semantic Web techniques improves this sharing and thus allows better adaptation results.

An approach for evaluating User Model Data in an interoperability scenario

CARMAGNOLA, Francesca;CENA, Federica
2006-01-01

Abstract

A common vision in user-adapted community states that user model should be interoperable and shareable across applications in different contexts and environments. In this paper we reason on how the usage of Semantic Web techniques improves this sharing and thus allows better adaptation results.
2006
STAIRS'2006, the third European Starting AI Researcher Symposium
Riva del Garda, Italy
August, 28- 29 2006
Frontiers in Artificial Intelligence and Applications
Edited by Loris Penserini, Pavlos Peppas, Anna Perini, IOS Press
142
251
252
9781586036454
F. CARMAGNOLA; F. CENA
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/28677
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 17
  • ???jsp.display-item.citation.isi??? ND
social impact