| Abstract |
This paper is mainly concerned with the strong relation between knowledge Society and Smart Cities. KS allows SC to deploy and materialize all its potentialities and to take advantage of all its resources for the benefit of citizens; adversely, SC offers live, advanced, first-quality knowledge resources, whilst KS ensures optimal, also unexpected, semantic retrieval and connection of existing resources. In this context, Learning has a key-role with respect to the full engagement of final users, in the double role of Citizens and qualified Human Capital for Competitiveness [1]. From the technological point of view, our approach is based on Adaptive, Knowledge-based Learning Systems, a Personal Learning and Working Environment and a general Semantic Framework. Distinctive features like Discovery of Linked Semantic Resources and Semantic Paths and Natural Language - based Semantic Retrieval and Interaction, based on Systems and tools above, are shortly presented. |