Semantic navigation through multiple topic ontologies

A general problem to support semantic navigation is the definition of the effective presentation of knowledge and the definition of interaction patterns. One of the main challenges of Semantic Web is to understand how to exploit, in terms of visualization, the representation of knowledge classified in documents according to user needs. In this paper, we discuss on the use of a framework of multiple and distinct ontologies to support modelling, integration and visualization of personalized knowledge. The framework is at the base of an application aimed at the management and discovery of knowledge for communities of interest. In particular, we propose an approach to make multiple topic ontologies to support the semantic navigation available to users, exploiting semantic relations as explicit links among concepts, to define and reason on the specific context of working tasks.