Administrators can use the Enrich and Clean feature to clean metadata.
Example
In a group of DITA documents about gazelles written in American English, all share the metadata key animal_name.
However, different authors defined different values for the key, as shown in the following table:
| Document | animal_name value |
|---|---|
| Gazelle Definition | Gazelle |
| Gazelle Etymology and Name | springbuck |
| Gazelle Species | antelope |
| Gazelle Prehistoric Extinctions | Antidorcas marsupialis |
The greater the number of technical writers working together, the bigger the risk of inconsistencies appearing in naming or spelling.
The following screenshot shows how these values are displayed in Fluid Topics if left uncorrected. Four different occurrences of the same concept generate four values in Fluid Topics.
The following screenshot shows what users expect, i.e., the Animal facet with the value Gazelle for all four documents:
In practice, administrators must define all the various values of the animal_name metadata key as synonyms of each other as follows:
Gazelle=(springbuck, antelope, Antidorcas marsupialis)