How can FUSE group results using the same taxonomy across varying content types?

In an ideal world, each content source FUSE indexes would have an identical taxonomy. We can get around mismatched (or no) taxonomy in a few ways, however:

  1. Since each content source can have its own set of taxonomy-based filters (e.g. topic, audience), we’ll show the filters for those sources that have it and hide them for those that don’t.

  2. If the sources in question each have taxonomy but they don’t match, we can map them to each other (e.g. Intellectual Property is mapped with Legal Technology and vice versa).

  3. Allow FUSE AI to ‘suggest’ taxonomy for your content. This works best when you feed FUSE a list of taxonomy from which it can choose to apply.