Abstract: According to an example aspect of the present invention, there is provided method of populating a structured database, the method comprising providing, to a natural language parser, at least one computer-readable document, parsing, by the natural language parser, said at least one computer-readable document, wherein the parsing extracts at least one chunk of relevant content from the said at least one computer-readable document, providing the extracted at least one chunk of relevant content to a trained neural network model, the trained neural network model being trained on a predefined ontology, generating, by the trained neural network model, at least one structured object based at least in part on the extracted at least one chunk of relevant content, generating, by the trained neural network model, a complex decision graph, based at least in part on the ontology, said graph comprising at least one of the structured objects, wherein the generating comprises: optionally creating and/or modifying, by the trai