research-article

A semantic system for answering questions in neuroinformatics

Authors:

Aref Eshghishargh,

Simon K Milton,

Scott C KolbeAuthors Info & Claims

ACSW '18: Proceedings of the Australasian Computer Science Week Multiconference

Article No.: 31, Pages 1 - 5

https://doi.org/10.1145/3167918.3167960

Published: 29 January 2018 Publication History

Abstract

Neuroinformatics is an important area of study in biomedical science and health informatics. Scientists in neuroscience tend to ask questions that are complicated, time consuming to answer and need multiple tasks in order to get to the result. In this paper, we introduce and report an ontology-based system for answering neuroscience questions automatically. The system uses a combination of ontologies such as NIFSTD and NeuroFMA, a template-based question translation method that translates questions to SparQL codes and MRI outputes (annotations) in order to classify and answer questions. It also uses an ontology-based query expansion module.

The outcomes show the ontology-based question classification achieves 87.5% correct classification on the data set and the system can successfully answer 78.13% of questions. This research also uses machine learning techniques such as Naïve-Bayes, KNN, SVM and Random Forest to classify questions which respectively result in 54.54%, 68.18%, 72.72% and 77.27% correct classification.

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Cited By

Eshghishargh AGray K(2021)Analysing, Representing and Classifying Neuroscience Questions Using OntologiesBrain Informatics10.1007/978-3-030-86993-9_24(257-266)Online publication date: 15-Sep-2021
https://doi.org/10.1007/978-3-030-86993-9_24
Eshghishargh AGray KKolbe S(2020)Resolving Neuroscience Questions Using Ontologies and TemplatesBrain Informatics10.1007/978-3-030-59277-6_13(141-150)Online publication date: 15-Sep-2020
https://doi.org/10.1007/978-3-030-59277-6_13

Index Terms

A semantic system for answering questions in neuroinformatics

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cover image ACM Other conferences

ACSW '18: Proceedings of the Australasian Computer Science Week Multiconference

January 2018

404 pages

ISBN:9781450354363

DOI:10.1145/3167918

Conference Chair:
David Abramson

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 29 January 2018

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ACSW 2018: Australasian Computer Science Week 2018

January 29 - February 2, 2018

Queensland, Brisband, Australia

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ACSW '18 Paper Acceptance Rate 49 of 96 submissions, 51%;

Overall Acceptance Rate 204 of 424 submissions, 48%

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Cited By

Eshghishargh AGray K(2021)Analysing, Representing and Classifying Neuroscience Questions Using OntologiesBrain Informatics10.1007/978-3-030-86993-9_24(257-266)Online publication date: 15-Sep-2021
https://doi.org/10.1007/978-3-030-86993-9_24
Eshghishargh AGray KKolbe S(2020)Resolving Neuroscience Questions Using Ontologies and TemplatesBrain Informatics10.1007/978-3-030-59277-6_13(141-150)Online publication date: 15-Sep-2020
https://doi.org/10.1007/978-3-030-59277-6_13

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