A new scientific paper was released by HEADSTART partners entitled ‘Design and Implementation of an Ontology for Semantic Labeling and Testing: Automotive Global Ontology (AGO)’. Given that the Artificial Intelligence methods produce a big amount of data in domains such as surveillance or automation, the need to organize these data at a large scale in a semantic structure is increasing. Ontologies and graph databases have gained popularity as mechanisms to satisfy this need. Read the full paper here.