October 2022 – October 2024
Descriptive laws of nature and imperative statements from human norms share much of their semantics. Argumentation of norms typically involves the use of related research results. Application of both types to actual cases is also related semantically.
For example, a typical result in clinical medicine is that a specific group of patients, with specific pattern of pathological parameters, has more likely a desirable outcome with treatment A than with treatment B. The corresponding statement in a norm such as a clinical practice guideline could be that in patients belonging to the specific group, treatment A is to be preferred to treatment B. While this is the simplest possible example, it is representative for the semantics sharing in many fields of science and practice.
Goal 1: The purpose of this project is to develop a method to rigorously describe such statements, hypothetical, true or false, proposed or adopted, across both types of fields. Results of research papers, as well as proposed or adopted norms could be translated to this representation.
Goal 2: A further purpose is the development of a search engine that is given a case (a profile of parameters) and it extracts research results and normative statements that apply to the case, potentially enhancing the user’s ability to argue decisions related to the case.
A specific demo engine, that works only for a few clinical research results, and uses a technology that does not scale easily, may be found here.