I work in the energy space. A relatively common format for information exchange is the Common Information Model ("CIM")[1] which is usually serialized as RDF XM

I work in the energy space. A relatively common format for information exchange is the Common Information Model ("CIM")[1] which is usually serialized as RDF XML documents. In Europe, this format is used as the standard data model for transmission system operators (TSOs) to share network information needed to run the Europe wide electrical grid. ENTSO-E [2] publishes a set of RDFS profiles that more tightly scope the data model to their use cases. [3] With that use case in mind, why would an RDF database be useful in this case: data size. It's quite easy to get into millions of objects in the data graph for a single distribution feeder. A large utility might have thousands of such feeders, plus associated sub-transmission & transmission infrastructure (the hierarchy is nicely shown in [4]). This can be represented in a relational database, but a lot of the queries start to become recursive. If object A connects to object B which connects to object C, and you want to query everything connected to A, you don't know that C exists until you've found object B. Refs: 1. https://en.wikipedia.org/wiki/Common_Information_Model_(electricity) https://en.wikipedia.org/wiki/Common_Information_Model_(elec... 2. https://en.wikipedia.org/wiki/European_Network_of_Transmission_System_Operators_for_Electricity https://en.wikipedia.org/wiki/European_Network_of_Transmissi... 3. https://cgmes.github.io/ https://cgmes.github.io/ 4. https://en.wikipedia.org/wiki/Electric_power_distribution#/media/File:Electricity_Grid_Schematic_English.svg https://en.wikipedia.org/wiki/Electric_power_distribution#/m...