LBRON-1364 smart search annotation datamodel

[tdn]

To align with the way we store annotations (and reviews) in the HVT (see https://github.com/lblod/frontend-decide-human-validator and https://github.com/lblod/annotation-review-service), we choose to use the Web Annotation Ontology: http://www.w3.org/ns/oa#
In the HVT, oa:Annotation is used in 2 forms:

1. to store the annotations the AI pipeline makes, as oa:Annotation with a nif:confidence score.
2. to store the reviews of the annotations, also as oa:Annotation , with the added class of ext:ReviewAnnotation

Each annotation has a target, which in the HVT was limited to resources of class oa:SpecificResource. To accommodate other annotations/reviews though, we need to allow other resource types as target as well. Therefore, we introduce a parent class ext:AnnotationTarget, whch oa:SpecificResource can extend.

For the smart search (UC2), we need to store two types of user feedback:

1. Feedback (thumbs up/down) on the answer as a whole.
2. Feedback (thumbs up/down) on the decisions listed as sources for the answer.

To do this, we introduce two new classes to the model that extend ext:AnnotationTarget : schema:Answer and schema:Quotation .

The model for annotations is summarized in the following diagram:

notes:
possibly, the LLM should be referenced through prov:wasAssociatedWith ?agent as in https://github.com/lblod/annotation-review-service/blob/master/controllers/annotations.ts#L357 . However, we need to confirm that the question-answering service has the correct agent URI