Deep Reinforcement Learning Based Ontology Meta-Matching Technique-Reference-Cited by-同舟云学术

Deep Reinforcement Learning Based Ontology Meta-Matching Technique

Published:2023-05-01 Issue:5 Volume:E106.D Page:635-643
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

XUE Xingsi¹,HUANG Yirui²,ZHANG Zeqing³

Affiliation:

1. Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology

2. School of Computer Science and Mathematics, Fujian University of Technology

3. School of Information Science and Engineering, Xiamen University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E106.D/5/E106.D_2022DLP0050/_pdf

Reference31 articles.

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4. [4] X. Xue and J. Zhang, “Matching large-scale biomedical ontologies with central concept based partitioning algorithm and adaptive compact evolutionary algorithm,” Appl. Soft Comput., vol.106, pp.1-11, July 2021. 10.1016/j.asoc.2021.107343

5. [5] G. Acampora, V. Loia, and A. Vitiello, “Enhancing ontology alignment through a memetic aggregation of similarity measures,” Inf. Sci., vol.250, pp.1-20, Nov. 2013. 10.1016/j.ins.2013.06.052

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