Algorithm Research & Explore
|
136-140,146

Large scale anatomical ontology matching under dynamic partition adjustment

Lyu Qing
Zhou Xin
Li Fenglian
College of Electrical & Power Engineering, Taiyuan University of Technology, Taiyuan 030024, China

Abstract

Traditional matching systems adopt fixed partitioning methods, which easily lead to the lost of semantic information, to match the large scale anatomical ontologies. In order to preserve the semantic information as completely as possible and improve the quality of matching results, this paper developed a dynamic partition adjustment mechanism. It adjusted the divided blocks dynamically by continuously redistributing the determined entities to the target blocks. In view of the high computation complexity of this matching model, this paper proposed an improved compact evolutionary algorithm to optimize the thresholds of sub-matching tasks and the block flags for redistribution. Experiments on the Anatomy test set of OAEI verify that the dynamic partition adjustment mechanism and improved compact evolutionary algorithm can enhance the alignment quality of matching system. Furthermore, a comparison with other matching systems demonstrates the advance of the proposed system.

Foundation Support

国家自然科学基金资助项目(62171307)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.05.0280
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 1
Section: Algorithm Research & Explore
Pages: 136-140,146
Serial Number: 1001-3695(2023)01-022-0136-05

Publish History

[2022-08-30] Accepted Paper
[2023-01-05] Printed Article

Cite This Article

吕青, 周欣, 李凤莲. 动态分块调节机制下的大规模解剖学本体匹配 [J]. 计算机应用研究, 2023, 40 (1): 136-140,146. (Lyu Qing, Zhou Xin, Li Fenglian. Large scale anatomical ontology matching under dynamic partition adjustment [J]. Application Research of Computers, 2023, 40 (1): 136-140,146. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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