A Semantic Content Management System for e-Gov Applications
Donato Cappetta, Salvatore D'Elena, Vincenzo Moscato, Vincenzo Orabona, Raffaele Palmieri, Antonio Picariello · 2014
In this paper we present our development experience of a Semantic Content Management System able to handle and manage uniformly heterogeneous contents of different kinds (texts, video and images) considering the related semantics. To this aim, we exploit several Semantic Web technologies: RDF/OWL for data modeling and representation, SPARQL as querying language, Multimedia Information Extraction techniques, W3C standard models for creating taxonomies and resource annotation, vocabularies and microformats. We also follow the Best Practices and Issues for the Web of Data by reusing LOD information for the Entity annotation of the managed content, thus providing CMS with advanced capabilities such as contents’ authoring and tagging.