Automated schema extraction for PID information types

Typing is a well known concept to prepare services for data processing for instance by choosing the correct service to a mime type for processing. But a lot more metadata elements, like availability and access conditions, provenance, processing preconditions or integrity parameters, are useful to be known in advance for preprocessing data services. In order to expose such metadata independently from data access, it can be stored directly within the persistent identifier structure pointing to the data itsself. Such metadata is called PID information type. But the correctness of the type entries needs high accuracy, because all following services are relying on their expressiveness. Data Type Registries are emerging for describing such types, but currently there is no automated way to control the content of types. This work introduces an approach to automatically derive schemas from hierarchically organized type descriptions in a recursive way and highlights the advantages of the resulting precision in a couple of application examples.