Matching Biomedical Ontologies through Adaptive Multi-Modal Multi-Objective Evolutionary Algorithm

To integrate massive amounts of heterogeneous biomedical data in biomedical ontologies and to provide more options for clinical diagnosis, this work proposes an adaptive Multi-modal Multi-Objective Evolutionary Algorithm (aMMOEA) to match two heterogeneous biomedical ontologies by finding the semant...

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Bibliographic Details
Main Authors: Xingsi Xue, Pei-Wei Tsai, Yucheng Zhuang
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Biology
Subjects:
Online Access:https://www.mdpi.com/2079-7737/10/12/1287

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