Dynamic ontology schema generation and asset management for standards for exchanging data

2:

• The method of claim 1,
• wherein the data model specifies a plurality of assets for which data is to be collected in accordance with the standard, each of the assets being specified as having one or more metadata attributes for describing the respective asset, each of the metadata attributes corresponding to one of a plurality of metadata attribute types,
• wherein the ontology schema is automatically generated to define a metadata attribute object for each of the different metadata attributes used to describe the assets in the data model for the data standard, and
• wherein the ontology instance data is automatically generated to conform to the ontology schema and to include data that indicates the assets specified in the data model and the metadata values associated with each of the metadata attributes for each of the assets.

8:

• The method of claim 5, further comprising:
• loading, as input, the ontology schema and the ontology instance data;
• and
• processing the subject-predicate-object triples and automatically generating, based on the ontology schema and the ontology instance data, a second data model having a plurality of assets that describe the first data model, each of the assets corresponding to a respective one of the metadata attribute objects specified in the subject-predicate-object triples of the at least one of the ontology schema and the ontology instance data.

11:

• The method of claim 10,
• wherein the ontology schema and the ontology instance data comprise a plurality of metadata attribute objects, each of the metadata attribute objects corresponding to one of a plurality of metadata attribute type objects,
• wherein each of the asset templates corresponds to a respective one of a plurality of asset types, and
• wherein generating the plurality of assets comprises, for each of the metadata attribute objects:
• selecting one of the asset types that corresponds to the respective metadata attribute object based on the metadata attribute object type for the respective metadata attribute object;
• and
• generating an asset for the respective metadata attribute object based on an asset template that corresponds to the selected asset type, wherein the asset template controls the capture of information from a user when generating the asset.

12:

• The method of claim 8, further comprising:
• receiving, via a user interface, user input specifying one or more proposed modifications to the generated assets;
• approving or rejecting each of the proposed modifications to the generated assets based on configuration data specifying a configurable governance process, wherein the governance process specifies which users are allowed to review, update, accept, or reject proposed modifications;
• applying the approved proposed modifications to the generated assets to produce modified assets;
• and
• modifying the asset templates in the data model based on the modified assets.

13:

• The method of claim 12, wherein modifying the asset templates comprises:
• generating one or more files indicative of modifications to be made to the asset templates, wherein the one or more files are generated as one or more Resource Description Framework (RDF) files, one or more Web Ontology Language (OWL) files, and one or more RDF/OWL files having subject-predicate-object triples;
• identifying, based on the files, differences between the modified assets and the asset templates;
• and
• modifying the asset templates such that the identified differences are reconciled.

16:

• The method of claim 12, further comprising:
• presenting an interface to receive input specifying proposed mappings of elements or attributes of the data standard to assets of the second data model automatically generated based on loading ontology schema and the ontology instance data;
• and
• automatically approving or rejecting the proposed mapping based on a configuration data specifying a governance process for the data standard.

18:

• The method of claim 12, further comprising:
• storing data indicative of the mappings in a cache included in a library of assets that define the data standard, wherein storing the data indicative of the mappings in the cache comprises:
• generating one or more RDF/OWL files indicative of the mappings;
• and
• importing the RDF/OWL files into the library of assets that define the data standard.

21:

• The method of claim 8, wherein processing the subject-predicate-object triples and automatically generating, based on the ontology schema and the ontology instance data, the second data model comprises:
• converting the set of assets of the first data model for the data standard into a second set of assets for the second data model,
• wherein one or more of the assets of the first data model include one or more classifiers, each of the classifiers having one or more settings that are not governable by a governance process, and
• wherein each of one or more of the assets of the second data model represents a respective one of the classifiers in the first set of assets, and includes one or more classifiers that represent the settings of the classifiers in the first set of assets, the classifiers in the second set of assets being governable by the governance process.

23:

• A standards specification and management system comprising:
• a computer having one or more processors;
• a data model stored within a computer-readable storage medium, wherein the data model comprises metadata that specifies a data standard that specifies requirements for regulatory-compliant exchange of data between entities, wherein the data model conforms to a data description language and specifies which data elements must be collected and a format in which the data elements are to be collected,
• where in the computer is configured to process the data model to automatically generate an ontology schema and ontology instance data that represent the data model of the data collection standard.

24:

• The standards specification and management system of claim 23,
• wherein the data model specifies a plurality of assets for which data is to be collected in accordance with the standard, each of the assets being specified as having one or more metadata attributes for describing the respective asset, each of the metadata attributes corresponding to one of a plurality of metadata attribute types,
• wherein the ontology schema is automatically generated to define a metadata attribute object for each of the different metadata attributes used to describe the assets in the data model for the data standard, and
• wherein the ontology instance data is automatically generated to conform to the ontology schema and to include data that indicates the assets specified in the data model and the metadata values associated with each of the metadata attributes for each of the assets.

30:

• A non-transitory computer readable storage medium comprising instructions that upon execution by one or more processors cause the one or more processors to:
• store a data model having metadata that specifies a data standard that specifies requirements for regulatory-compliant exchange of data between entities, wherein the data model conforms to a data description language and specifies which data elements must be collected and a format in which the data elements are to be collected, wherein the data model specifies a plurality of assets for which data is to be collected in accordance with the standard, each of the assets being specified as having one or more metadata attributes for describing the respective asset, each of the metadata attributes corresponding to one of a plurality of metadata attribute types;
• and
• process the data model to automatically generate an ontology schema and ontology instance data that represent the data model of the data collection standard,
• wherein the ontology schema is automatically generated to define a metadata attribute object for each of the different metadata attributes used to describe the assets in the data model for the data standard,
• wherein the ontology instance data is automatically generated to conform to the ontology schema and to include data that indicates the assets specified in the data model and the metadata values associated with each of the metadata attributes for each of the assets, and
• wherein at least one of the ontology schema and the ontology instance data is automatically generated to represent the metadata attribute objects as one or more subject-predicate-object triples