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Semantic Analysis and Classification of Medical Questions for a Logic-Based Medical Question-Answering System
Conference proceeding

Semantic Analysis and Classification of Medical Questions for a Logic-Based Medical Question-Answering System

Sofia J. Athenikos, Hyoil Han and Ari D. Brooks
2008 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE WORKSHOPS, PROCEEDINGS, 4686218
Nov 2008
DOI: https://doi.org/10.1109/BIBMW.2008.4686218
Featured in Collection :   UN Sustainable Development Goals @ Drexel

Abstract

Engineering, Biomedical Science & Technology Engineering Technology
Due to the continuous growth and crucial real-world impact of information produced in the biomedical and health domain, there is an acutely felt need for question answering (QA) systems that can aid medical researchers and health care professionals in their information search. In order to provide users with accurate answers, such systems need to utilize semantic analysis and processing of medical texts and knowledge resources. Moreover, QA systems equipped with reasoning capabilities can derive more adequate answers by using inference mechanisms. We propose a logic-based medical QA system which uses Description Logic (DL) for knowledge representation and reasoning. As a first step in constructing the proposed QA system, we present a study on the semantic analysis and categorization of medical questions.

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15 Record Views
3 citations in Web of Science
5 citations in Scopus

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UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

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Web of Science research areas
Engineering, Biomedical
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