Taxonomy represents a formal structure of classes or types of objects within a knowledge domain by using a controlled vocabulary to make it easier to find related information. Defining and using a taxonomy can offer additional benefits in that users of the system will be categorising content and assets using a controlled vocabulary. This controlled vocabulary can be utilised as an integration reference point between different business systems.
A taxonomy must:
- Follow a hierarchical format and provides names for each object in relation to other objects.
- Have specific rules used to classify or categorize any object in a domain. These rules must be complete, consistent, and unambiguous.
- Apply rigor in specification, ensuring any newly discovered object must fit into one and only one category or object.
- Inherit all the properties of the class above it, and can also have additional properties.
- May also capture the membership properties of each object in relation to other objects.
A data taxonomy is a hierarchical structure separating data into specific classes of data based on common characteristics. The taxonomy represents a convenient way to classify data to prove it is unique and without redundancy. This includes both primary and generated data elements.
Taxonomies are different from metadata in that a taxonomy helps you to organize your content and assets into hierarchical relationships. Classifying content and assets in a taxonomy can make it far easier to search for or browse an asset or content management system when you aren't sure exactly what you are looking for.
Defining and using a taxonomy can offer additional benefits in that users of the system will be categorizing content and assets using a controlled vocabulary. This controlled vocabulary can be utilized as an integration reference point between different business systems.
Organisations apply taxonomies to:
- Achieve better data quality
- Organize metadata in an easy grasp format
- Manage data assets through data governance
- Make it easier for a data steward to curate information
- Guide machine learning and data experiences towards identifying trends and patterns.
Last updated 02 Feb 2023