Semantic

The Information Society is on its wayand not only by or through the Broadcast Industry!Increasingly, the Media industry will have to publishrich media on multiple infrastructure and devices!Rich media requires languages that can handle metadata’saccording to their properties and their relationsin a process managed by computer tools.

What is “Knowledge Management”?

Publish rich media means moving from a data management system controlled by humans to a collaborative production process where machines manage migration, exchange and archiving. So it is necessary to manage the data, applications for data representation and especially the knowledge base that provides the link between the data and its meaning.

Worldwide, there are standards (such as ISO/OAIS) and standardized languages ​​(like RDF, OWL, ... standardized by the W3C) which provide a scientific basis for this important technological move!

This technological evolution is not only scientifically based, but in addition it provides new advantages in terms of information management and profitability.

Semantic technologies are made to ensure the enhancement of data’s, manage the sustainability of the link between the data and information (a meta/data), allowing the exchange of rich models between systems, there is the limit of “flat models” … they can’t offer the required agility in multiple process, in space (exchange) and time (sustainability)!

But semantic also generates enrichment based on some core metadata’s during the production process. By using explicit metadata such as “physical person” (with different roles: writer, director, actor, ..), “corporate body” (company, organization, ..), “location” (country, city, ..), “date”, “work”, “event”, ... the semantic middleware will generates inferences on the basis of information modelling. The results are deduced from explicit links (properties or relations) and not lexical approximations and or statistical computation.