QUESTION ANSWERING AND Rhetoric ANALYSIS of Biomedical Texts in the AROMA System

-Question answering with intelligent knowledge management of biomedical texts and analysis of rhetoric relations in the AROMA system is presented. The development of the AROMA system aims at the creation of an intelligent tool for the support of the discovery and adaptation of biomedical models based on data extracted from natural language texts. The system operation includes three main functions namely question answering and text mining and simulation. The question answering function generates model based answers and their explanations. The operation of AROMA allows the exploitation of rhetoric relations between a “basic” text that proposes a model of a biomedical system and parts of the abstracts of papers that present experimental findings supporting the model. An important use of AROMA concerns the comparison of experimental data with the model proposed in the basic text. The AROMA system consists of three subsystems. The first subsystem extracts knowledge including rhetoric relations from biomedical texts. The second subsystem answers questions with causal knowledge extracted by the first subsystem and generates explanations using rhetoric relation knowledge in addition to other knowledge. The third subsystem simulates the time-dependent behavior of a model from which textual descriptions of the waveforms are generated automatically.