Hybrid Mappings of Complex Questions over an Integrated Semantic Space

We address the issue of measuring semantic similarity between ontologies and text by means of applying latent semantic analysis. This method allows ranking of vector representations describing semantic relations according to their cosine similarity with a particular query. Our work is expected to make contributions including the introduction of reasoning about uncertainty when mapping between ontologies, an algorithm that can perform automatic mapping between concepts or relations derived from text and concepts or relations belonging to different ontologies, and the capability to infer implicit similarity between concepts or relations