Natural language processing driven ontology modelling to address semantic interoperability in information extraction

The aim of this research is to investigate the use of natural language processing techniques for ontology modelling that would address semantic interoperability problems arising due to terminological and semantic differences during information extraction from documents. These documents contain terminologies that are specific to the group and experts involved in creating them. As manual extraction is a tedious process, natural language processing...