The following example illustrates how administrators can use the Enrich and Clean feature to clean metadata.
In a group of four DITA documents about gazelles, written in American English, all share the key animal_name. However, different authors defined different values for the key, as shown in the following table:
|Gazelle Etymology and Name||springbuck|
|Gazelle Prehistoric Extinctions||Antidorcas marsupialis|
The following screenshot shows how these values are displayed in Fluid Topics if left uncorrected. Four different spellings 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)