Semantically Analyzing text for analogy generation

Abstract

As information regarding everything in our life is increasing at a massive rate, from biological and neurosciences to psychology, sociology, developmental and learning sciences, engineering and the list goes on. people are having a difficult time comprehending that huge amount of knowledge, not to mention, linking them together.[1] Analogies are very important in cognitive processes such as learning and comprehending new concepts or topics, it transfers our learning experience from a certain subject to a brand new one. [5] This project aims to solve this problem by semantically analyzing these ambiguous concepts to give us Frame semantics representation, and mapping the result to a similar frame semantic representation that would hopefully turn out to have a similar meaning.