In the RDF representation domain, and for appropriate extension in RDFS and OWL domains, knowledge is compiled as a set of assertions of type “Subject – Predicate – Object” . The terms of the assertions may refer to any entity or resource, whether it is physically existing or purely conceptual. For example, we can assert that the author of I Promessi Sposi is Alessandro Manzoni affirming that:

<dbpedia:resource/I_promessi_sposi> <dbpedia:property/autore> <dbpedia.org:resource/Alessandro_Manzoni> .

and that Alessandro manzoni is an Italian Novelist as:

<yago:Alessandro_Manzoni> <rdf:type> <yago:wikicat_19th-century_Italian_writers> .

Existing knowledge bases (eg DBPedia, Wikidata, Yago, Freebase) count millions of these “triples”, which make available and easily integrate knowledge into the most varied applications.

In the context of television archive and production, these technological components are a strategic value undoubtedly, being exploited as simple structured sources of content enrichment (documentation) as well as real-time contextual content exploration systems.

Despite the existence of the above-mentioned technologies (RDF, RDFS, OWL) and large size and deep breath semantic databases (eg DBPedia, Wikidata, Yago, Freebase), the effective integration of semantic technologies into television production and archiving is not yet a reality. The main emerging issues in this context can be mentioned: 1) coverage and up-to-dateness of semantic databases; 2) heterogeneity of facts description; 3) lack of specific domain ontologies. This project aims to analyze these aspects and to build functional prototypes that demonstrate the applicability of these technologies in real production contexts.