Implementing Semantic AI
Implementing Semantic AI consists of implementing its various subfeatures in different parts of the product architecture. The current topic gives a broad overview of a Semantic AI implementation. Semantic AI is a non-core feature; implementing it is not required. Similarly, while some subfeatures depend on others, not all subfeatures necessarily need to be implemented.
About this task
- Steps 1 and 2 are mandatory; steps 3, 4 and 5 are optional.
- Steps 1 and 2 must be performed first; steps 3, 4 and 5 can be done later, and in parallel.
The implementation plan below is a suggestion; you can use your external taxonomy for other purposes too, such as designing an intelligent, taxonomy-based website navigation, for example.