International Journal of Computational Intelligence Systems

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Volume 14, Issue 1, 2021, Pages 834 - 846

Constructing Ontology of Brain Areas and Autism to Support Domain Knowledge Exploration and Discovery

Authors
Liang Hong1, *, Haoshuai Xu2, Xiaoyue Shi2
1School of Information Management, Wuhan University, Wuhan, Hubei, China; Center for Studies of Information Resources, Wuhan University, Wuhan, Hubei, China
2School of Information Management, Wuhan University, Wuhan, Hubei, China
*Corresponding author. Email: hong@whu.edu.cn
Corresponding Author
Liang Hong
Received 30 September 2020, Accepted 31 January 2021, Available Online 10 February 2021.
DOI
10.2991/ijcis.d.210203.005How to use a DOI?
Keywords
Ontology; Ontology construction method; Brain area; Autism; Knowledge discovery
Abstract

Medical studies have confirmed the causal relationship between autism and brain areas. Such relationship can effectively promote the early diagnosis and timely intervention of autism. However, existing experiment-driven methods discovering such relationships are costly while machine-learning-based methods are ineffective, because they do not fully utilize the domain knowledge. In this paper, we propose a reasoning-reuse method to construct a Brain Areas-Autism (BAA) ontology to support the domain knowledge discovery, i.e., discovering inherent relationships between autism and brain areas based on BAA ontology. In our method, domain experts first design the schema of the ontology. Then, we use NLP techniques to extract and fuse knowledge from scientific literatures. Rule-based reasoning is performed to expand the scale of ontology. Finally, the ontology is evaluated using the qualitative and quantitative analysis. This paper constructs the BAA ontology with 929 entities and 1129 relationships. Based on this ontology, 130 potential relationships between brain areas and autism were inferred by rule-based reasoning. Experiments demonstrate that the proposed reasoning-reuse method can effectively construct BAA ontology which supports intelligent and efficient knowledge discovery and exploration in domain research.

Copyright
© 2021 The Authors. Published by Atlantis Press B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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<Previous Article In Issue
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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
14 - 1
Pages
834 - 846
Publication Date
2021/02/10
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.d.210203.005How to use a DOI?
Copyright
© 2021 The Authors. Published by Atlantis Press B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Liang Hong
AU  - Haoshuai Xu
AU  - Xiaoyue Shi
PY  - 2021
DA  - 2021/02/10
TI  - Constructing Ontology of Brain Areas and Autism to Support Domain Knowledge Exploration and Discovery
JO  - International Journal of Computational Intelligence Systems
SP  - 834
EP  - 846
VL  - 14
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.210203.005
DO  - 10.2991/ijcis.d.210203.005
ID  - Hong2021
ER  -