Systems, devices, methods, and interfaces generally for use with database management systems (DBMSs) and DBMS interfaces (i.e. user interfaces, input interfaces, search interfaces, operating interfaces, etc.). In some aspects, the systems, devices, methods, and interfaces include using artificial intelligence (i.e. machine learning and/or anticipation functionalities, etc.) to learn a user's use of a DBMS or DBMS interface, store this knowledge in a knowledgebase, and anticipate the user's future operating intentions. In other aspects, the systems, devices, methods, and interfaces include disassembling user or other input into various types of portions (i.e. text, numbers, etc.) and determining one or more instructions for performing operations on a DBMS or DBMS interface based on the various types of portions. In further aspects, the systems, devices, methods, and interfaces include associative DBMS command construction. Other systems, devices, methods, interfaces, and features are also disclosed.

Methods, systems, and apparatuses are configured to generate new industrial asset models that can be efficiently queried. The new industrial asset models can be tailored to specific users and represented in an RDF knowledge graph. In particular, the RDF graph can define variables that correspond to OPC variables. The RDF knowledge graph queried via a query that is compliant with a GraphQL API.

A computer-implemented method comprises obtaining export data representing a first classification in a first database that is to be imported into a second database, the first classification including a first set of classification markings that correspond to a first classification scheme identifier of the first database and that determine access to the first database and including a first plurality of origin classifications, each original classification of the first plurality of origin classifications including a classification scheme identifier; determining that a specific original classification of the first plurality of origin classifications has a specific classification scheme identifier matching a second classification scheme identifier of the second database; importing the specific original classification into the second database as an imported classification.