More and more often, we face the necessity of extracting appropriately reshaped knowledge from an integrated representation of the information space. Be such a global representation a central database, a global view of several ones or an ontological representation of an information domain, we face the need to define personalised views for the knowledge stakeholders: single users, companies or applications. We propose exploiting the information usage context within a methodology for context-aware data design, where the notion of context is formally defined together with its role within the process of view building by information tailoring. This paper presents our context model, called the context dimension tree, which plays a fundamental role in tailoring the information space according to user information needs.
E. Context-aware data tailoring REF proposes context dimension trees (CDTs) for modeling multidimensional aspects of context.
Context information for knowledge reshaping
Int. J. Web Eng. Technol.
Int. J. Web Eng. Technol.
Computer Science