With its multiple technical connectors, CogTL reads and monitor changes on your databases, directories, reference files or request your systems APIs. Every “record” is then transformed in a small semantic graph representing the pertinent data. Those small semantic graphs are compared and merged with the core knowledge graph, by adding or removing nodes and edges, and applying logical constraints. Therefore, the core knowledge graph always contains an up-to-date and semantically correct representation of your knowledge.
Now that it has updated its knowledge and reacted to the latest changes, our CogTL engine has some free time to think about the future: our imagination engine will now project potential scenarios and combine them, in order to calculate their relative probability of occurrence.