ECLAP, back office, automanted back office, content production, content ingestion, IPR mangement, anatomy of a social network, recommendations, suggestion, social media, cross media indexing, ...
ECLAP, back office, automanted back office, content production, content ingestion, IPR mangement, anatomy of a social network, recommendations, suggestion, social media, cross media indexing, ...
ECLAP, back office, automanted back office, content production, content ingestion, IPR mangement, anatomy of a social network, recommendations, suggestion, social media, cross media indexing, ...
ECLAP, back office, automanted back office, content production, content ingestion, IPR mangement, anatomy of a social network, recommendations, suggestion, social media, cross media indexing, ...
ECLAP, back office, automanted back office, content production, content ingestion, IPR mangement, anatomy of a social network, recommendations, suggestion, social media, cross media indexing, ...
ECLAP, back office, automated back office, content production, content ingestion, IPR mangement, anatomy of a social network, recommendations, suggestion, social media, cross media indexing, ...
Why: Create an ontology that allows to combine all data provided by the city of Florence and the Tuscan region.
Problems: data have different formats, they must be reconciled in order to be ...
Why: Create an ontology that allows to combine all data provided by the city of Florence and the Tuscan region.
Problems: data have different formats, they must be reconciled in order to be ...
Presently a very large number of public and private data sets are available around the local governments. In most cases, they are not semantically interoperable and a huge human effort is needed ...