XMQAS – An Ontology Based Medical Question Answering System

Abstract: Designing question answering systems requires efficient and deep analysis of natural language questions. A key process for this task is to translate the semantic relations expressed in the question into a machine-readable representation. This work tackles question analysis in the medical field using an approach based on Ontology. The main computing methods of the question answering system are based on the application of natural language processing technique to infer the focus of the question and process the question based on the meaning inferred from the question. The efficiency of the outcome is mainly depended on extraction of the correct characteristic of the question and the accuracy of the medical documents are using.

Keywords: Medical Question Analysis, Information Extraction, Document Retrieval, Natural Language Processing.