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App. Res. of Comp. Accepted Paper
Vol. 41, 2024 No. 11

Optimizing ontology matching through hybrid genetic algorithm based on partial reference alignment

Qiao Yubo
Lyu Qing
Xu Zhaoyun
College of Electrical & Power Engineering, Taiyuan University of Technology, Taiyuan 030024, China
DOI: 10.19734/j.issn.1001-3695.2024.03.0089

Abstract

The problem of heterogeneity between different ontologies becomes an obstacle to more intelligent and efficient knowledge sharing and communication between various applications. Ontology matching is an effective way to solve the above problems. In order to obtain high quality matching results, this paper proposes a hybrid genetic algorithm (HGA) based on PRA (Partial Reference Alignment) . The method adopts a stratified selection approach to utilize the heterogeneity feature among ontologies to solve the phenomenon of semantic loss in the traditional PRA construction process, and proposes a new fitness function to further fully utilize the potential information in the PRA to solve the semantic loss problem from another perspective. In addition, the algorithm combines both genetic algorithm and stochastic hill climbing algorithm in order to find the optimal ontology matching solution in both global and local scales. Experimental results show that the algorithm is effective in obtaining high-quality matching results in different ontology matching tasks, and it also performs well in comparison with other cutting-edge methods.

Foundation Support

山西省省筹资金资助回国留学人员科研项目(2023061)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.03.0089
Publish at: Application Research of Computers Accepted Paper, Vol. 41, 2024 No. 11

Publish History

[2024-08-02] Accepted Paper

Cite This Article

乔钰博, 吕青, 许诏云. 基于部分参考匹配集合的混合遗传算法解决本体匹配问题 [J]. 计算机应用研究, 2024, 41 (11). (2024-09-11). https://doi.org/10.19734/j.issn.1001-3695.2024.03.0089. (Qiao Yubo, Lyu Qing, Xu Zhaoyun. Optimizing ontology matching through hybrid genetic algorithm based on partial reference alignment [J]. Application Research of Computers, 2024, 41 (11). (2024-09-11). https://doi.org/10.19734/j.issn.1001-3695.2024.03.0089. )

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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