A Semantic Content Management System for e-gov applications

In this paper, we describe a novel Semantic Content Management System (SCMS) able to handle multimedia contents of different kinds (e.g. texts and images) using the related semantics and capable of supporting e-gov applications in different scenarios. All the information is described using semantic metadata semiautomatically extracted from multimedia data, which enriches the browsing experience and enables semantic contents' authoring and queries. To this aim, several Semantic Web technologies have been exploited : RDF/ OWL for data modeling and representation, SPARQL as querying language, Multimedia Information Extraction techniques for content annotation, W3C standard models, vocabularies and micro-formats for resource description. In addition, we propose for entity annotation issue the LOD approach. As an application scenario of the platform, we report a system customization useful for managing the semantic matching between the required professional profiles by a Public Administration and the available skills in a set of curricula vitae with respect to a given call.