Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 1
170-176

Similarity algorithm of path sequence based on Petri net workflow model unfolding tree

Xu Shanshan1,2
Shi Yaqing1
Jian Kaiyu1
Wei Jushang1
Zhang Wentao3
1. College of Command & Control Engineering, Army Engineering University of PLA, Nanjing 210007, China
2. Dept. of Unit 96512, Xining Qinghai 810001, China
3. College of Software, Liaoning Technical University, Fuxin Liaoning 123032, China
DOI: 10.19734/j.issn.1001-3695.2023.05.0193

Abstract

In the actual data migration project, in order to solve the problem of data mapping, it is necessary to determine the similarity between the two workflow models. This paper analyzed and expounded the similarity of workflow model, and proposed a path sequence similarity algorithm for the unfolding tree of workflow model based on Petri net. Firstly, it used the deep-first search algorithm and dynamic programming algorithm to search the model, and then obtained all path sequences of the unfolding tree by the proposed algorithm. Finally, it used the edit distance algorithm to calculate the pairwise similarity between the two model sequences, and then completed the model similarity calculation. Compared with other mainstream similarity algorithms, the main advantage is that the partial structure and behavior similarity of the model could be accurately calculated, which could better determine the mapping between processes, so as to find a solution to data mapping. The experimental results show that the proposed method is more reasonable and accurate than the mainstream algorithms based on model structure and behavior similarity.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.05.0193
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 1
Section: Algorithm Research & Explore
Pages: 170-176
Serial Number: 1001-3695(2024)01-025-0170-07

Publish History

[2023-07-24] Accepted Paper
[2024-01-05] Printed Article

Cite This Article

许山山, 史涯晴, 简开宇, 等. 基于Petri网工作流模型展开树的路径序列相似性算法 [J]. 计算机应用研究, 2024, 41 (1): 170-176. (Xu Shanshan, Shi Yaqing, Jian Kaiyu, et al. Similarity algorithm of path sequence based on Petri net workflow model unfolding tree [J]. Application Research of Computers, 2024, 41 (1): 170-176. )

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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