What considerations should be made when selecting Ontology subsets for external applications?

• A. Select only the necessary subset to maintain security and performance
• B. Include the full Ontology for flexibility
• C. Avoid any subset and rely on external filtering
• D. Randomly select subsets to encourage exploration

Answer: (A)

Selecting only the necessary subset of the Ontology for external applications keeps exposure limited to what the app truly needs, which improves security and performance. When you trim to the relevant concepts and relationships, you reduce the amount of data that must be transmitted, parsed, and validated, which lowers latency and resource use. It also makes governance easier: changes inside the internal ontology are less likely to cascade into external integrations, and you can manage the subset as a stable contract with clear versioning and deprecation paths.

To make this effective, ensure the subset includes exactly what the external app relies on—these are the concepts, codes, relationships, and any constraints that are necessary for correct interpretation and operation. If the app requires certain identifiers or mappings to other data, include those as well so the integration remains coherent. It’s common to maintain a mapping layer or a well-defined interface that translates internal terminology to the external subset, keeping the external contract stable even as internal models evolve.

Choosing the full Ontology would unnecessarily broaden the surface area, complicate maintenance, and increase security risks and data transfer overhead. Relying on external filtering or randomly selecting subsets introduces unpredictability and brittle behavior; the external contract would be inconsistent, and apps may fail as requirements change.