Using Compact Coevolutionary Algorithm for Matching Biomedical Ontologies
Joint Authors
Xue, Xingsi
Chen, Jie
Chen, Dongxu
Chen, Junfeng
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-10-08
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Over the recent years, ontologies are widely used in various domains such as medical records annotation, medical knowledge representation and sharing, clinical guideline management, and medical decision-making.
To implement the cooperation between intelligent applications based on biomedical ontologies, it is crucial to establish correspondences between the heterogeneous biomedical concepts in different ontologies, which is so-called biomedical ontology matching.
Although Evolutionary algorithms (EAs) are one of the state-of-the-art methodologies to match the heterogeneous ontologies, huge memory consumption, long runtime, and the bias improvement of the solutions hamper them from efficiently matching biomedical ontologies.
To overcome these shortcomings, we propose a compact CoEvolutionary Algorithm to efficiently match the biomedical ontologies.
Particularly, a compact EA with local search strategy is able to save the memory consumption and runtime, and three subswarms with different optimal objectives can help one another to avoid the solution’s bias improvement.
In the experiment, two famous testing cases provided by Ontology Alignment Evaluation Initiative (OAEI 2017), i.e.
anatomy track and large biomed track, are utilized to test our approach’s performance.
The experimental results show the effectiveness of our proposal.
American Psychological Association (APA)
Xue, Xingsi& Chen, Jie& Chen, Junfeng& Chen, Dongxu. 2018. Using Compact Coevolutionary Algorithm for Matching Biomedical Ontologies. Computational Intelligence and Neuroscience،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1130636
Modern Language Association (MLA)
Xue, Xingsi…[et al.]. Using Compact Coevolutionary Algorithm for Matching Biomedical Ontologies. Computational Intelligence and Neuroscience No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1130636
American Medical Association (AMA)
Xue, Xingsi& Chen, Jie& Chen, Junfeng& Chen, Dongxu. Using Compact Coevolutionary Algorithm for Matching Biomedical Ontologies. Computational Intelligence and Neuroscience. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1130636
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1130636