Answering questions that may have answers in the future: a case study in food science
Abstract
This paper presents a method to represent the evolution of objects during their life cycle, using a logicand graph-based knowledge representation model. An extension is proposed in order to answer ‘‘prospective queries,” concerning the achievement, in the future, of the searched piece of knowledge. A case study in the field of cereal transformation illustrates the proposed approach