Multi-layer graph-based categorization

A method comprising:

• obtaining, by one or more processors, a first data model instance comprising an identifier string and a set of attributes, wherein each attribute name string of a set of attribute name strings is associated with an attribute of the set of attributes;
• obtaining, by one or more processors, an ontology graph comprising a first label, a second label, and a first association between the first label and the second label;
• using, by one or more processors, a first prediction model to select the first label based on the first data model instance;
• determining, by one or more processors, the second label based on the first association of the ontology graph;
• determining, by one or more processors, a selected set of labels to associate with the first data model instance, wherein the selected set of labels comprises the first label and the second label;
• associating, by one or more processors, the selected set of labels with the first data model instance in a dataset comprising a plurality of records, wherein each record is associated with a different data model instance;
• generating a summarization string using a second set of neural network layers, wherein the summarization string comprises the first label and the second label;
• receiving a request for a record associated with the first data model instance;
• and
• generating for display the summarization string in response to the request for the record.

A non-transitory computer-readable media comprising instructions that, when executed by one or more processors, cause operations comprising:

• obtaining a first data model instance comprising an identifier string and a set of attributes;
• obtaining an ontology graph comprising a first label, a second label, and an association between the first label and the second label;
• using a first prediction model to select the first label based on the first data model instance;
• selecting the second label based on the association between the first label and the second label in the ontology graph;
• storing an association between the second label and the first data model instance in a memory storage;
• generating a summarization string using a second set of neural network layers, wherein the summarization string comprises the first label and the second label;
• and
• generating for display the summarization string.