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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 42, 2025 No. 4
1095-1101

Solving ontology matching through collaborative genetic programming algorithm based on partial standard alignment

Jiang Zhaohang
Lyu Qing
Dai Ketao
Sun Donglei
College of Electrical & Power Engineering, Taiyuan University of Technology, Taiyuan 030024, China
DOI: 10.19734/j.issn.1001-3695.2024.09.0328

Abstract

Heterogeneity in ontologies hinders knowledge interaction and data sharing, while ontology matching addresses various heterogeneity issues by integrating similarity features. To improve the quality of matching results, this paper proposed a collaborative genetic programming algorithm based on partial standard alignment(PSA). The algorithm employed an adaptive probability-based crossover strategy and a semantic similarity-based mutation strategy to balance local exploitation and global exploration, aiming to discover high-quality similarity representations. Additionally, a new fitness function guided the optimization direction of the algorithm, fully leveraging the informational value of PSA. Finally, a novel PSA correction method identified suspicious matching pairs through multiple dimensions and aggregated expert votes using a random forest classifier, optimizing the PSA to construct more reliable similarity features. Experimental results demonstrate that the proposed method achieves high-quality matching results across different expert error rates and ontology matching tasks, outperforming state-of-the-art matching techniques.

Foundation Support

山西省省筹资金资助回国留学人员科研资助项目(2023061)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.09.0328
Publish at: Application Research of Computers Printed Article, Vol. 42, 2025 No. 4
Section: Algorithm Research & Explore
Pages: 1095-1101
Serial Number: 1001-3695(2025)04-017-1095-07

Publish History

[2025-04-05] Printed Article

Cite This Article

姜照航, 吕青, 戴可涛, 等. 基于部分标准对齐的协同遗传规划算法解决本体匹配问题 [J]. 计算机应用研究, 2025, 42 (4): 1095-1101. (Jiang Zhaohang, Lyu Qing, Dai Ketao, et al. Solving ontology matching through collaborative genetic programming algorithm based on partial standard alignment [J]. Application Research of Computers, 2025, 42 (4): 1095-1101. )

About the Journal

  • 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.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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