Extending Semantic Web tools for improving Smart Spaces interoperability and usability

Abstract

This paper explores the main challenges to be tackled for more accessible, and easy to use, Smart Spaces. We propose to use Semantic Web principles of interoperability and flexibility to build an end-user graphical model for rapid prototyping of Smart Spaces applications. This approach is implemented as a visual rule-based system that can be mapped into SPARQL queries. In addition, we add support to represent imprecise and fuzzy knowledge. Our approach is exemplified in the experimental section using a context-aware test-bed scenario. © Springer International Publishing Switzerland 2013.