US 2026/0086728 A1 · DATA MIGRATION BETWEEN DIFFERENT DOMAINS

Abstract

Techniques for object matching and ontology alignment for data migration between different domain models are described. A plurality of objects from a plurality of source domains is received. Schema of the plurality of objects from the plurality of source domains corresponds to the plurality of source domain models. The schema of objects of the destination domain corresponds to a destination domain model. The plurality of source domain models is different from the destination domain model. The plurality of objects is converted into a predetermined data representation format. The converted plurality of objects is input to a machine learning model. The converted plurality of objects is transformed, using the machine learning model, to align with a destination domain model irrespective of quantity of object, object type, object attributes. The transformed plurality of objects is matched with a plurality of objects corresponding to the destination domain using the machine learning model.

Claims20

Dependent claims

A system for object matching and ontology alignment for data migration between different domain models, the system comprising:

a memory;
a processing unit coupled to the memory, wherein the processing unit is to:
receive a plurality of objects from a plurality of source domains, wherein each of the plurality of objects has a plurality of data, each data corresponding to a data type, having a plurality of data attributes, and a plurality of data structures, wherein schema of the plurality of objects from the plurality of source domains corresponds to a plurality of source domain models, wherein the plurality of objects is to be migrated to a destination domain, wherein schema of a plurality of objects of the destination domain corresponds to a destination domain model, wherein the plurality of source domain models is different from the destination domain model;
convert the received plurality of objects into a predetermined data representation format;
input the converted plurality of objects to a machine learning model;
transform, using the machine learning model, the converted plurality of objects to align with the destination domain model irrespective of quantity of object, object type, and object attributes;
and
match, using the machine learning model, the transformed plurality of objects with the plurality of objects corresponding to the destination domain.

5 more elements

A non-transitory computer-readable medium comprising instructions for object matching and ontology alignment for data migration between different domain models, the instructions being executable by a processing resource to:

receive a plurality of objects from a plurality of source domains, wherein each of the plurality of objects has a plurality of data, each data corresponding to a data type, having a plurality of data attributes, and a plurality of data structures, wherein schema of the plurality of objects from the plurality of source domains corresponds to a plurality of source domain models, wherein the plurality of the objects is to be migrated to a destination domain, wherein schema of a plurality of objects of the destination domain corresponds to a destination domain model, wherein the plurality of source domain models is different from the destination domain model;
convert the received plurality of objects into a predetermined data representation format;
input the converted plurality of objects to a Large Language Model (LLM);
transform, using the LLM, the converted plurality of objects to align with the destination domain model irrespective of quantity of objects, object type, and object attributes;
and
match, using the LLM, the transformed plurality of objects with the plurality of objects corresponding to the destination domain.

3 more elements

Dependencies are inferred from the claim text.

Data migration between different domains

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Data migration between different domains

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Abstract

Claims20