Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 8
2366-2370

Improved method for ripple effect calculation in ontology evolution

Chen Jing1a,1b,1c,2
Liu Zhao1a,1b
Gu Jinguang1a,1b,1c,2
Liu Yu1a,1b,1c,2
1. a. School of Computer Science & Technology, b. Key Laboratory of Intelligent Information Processing & Real-time Industrial System in Hubei Province, c. Institute of Big Data Science & Engineering, Wuhan University of Science & Technology, Wuhan 430065, China
2. Key Laboratory of Rich-media Knowledge Organization & Service of Digital Publishing Content, National Press & Publication Administration, Beijing 100038, China
DOI: 10.19734/j.issn.1001-3695.2019.03.0047

Abstract

In view of the use of Floyd-Warshall algorithm, the large-scale ontology evaluation had higher time complexity and higher space complexity and didn't consider the association between versions in the ontology evolution process, this paper proposed the calculation of the ripple effect optimized by the SPFA(shortest path faster algorithm) algorithm based on the adjacency list. The algorithm not only had the advantage of computational efficiency in large-scale ontology calculation, but also could simplify the calculation process of the ripple effect in the iterative process. The experimental results show that the SPFA has a certain time advantage in calculating the ontology ripple effect compared with the adjacency matrix based method, and this advantage gradually increases with time. In the ontology evolution ripple effect calculation time, the calculation time of the evolved version is about the original method, which proves the effectiveness of the optimization calculation.

Foundation Support

国家自然科学基金资助项目(61673304)
国家社会科学基金重大计划资助项目(11&ZD189)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.03.0047
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 8
Section: Algorithm Research & Explore
Pages: 2366-2370
Serial Number: 1001-3695(2020)08-026-2366-05

Publish History

[2020-08-05] Printed Article

Cite This Article

陈晶, 刘钊, 顾进广, 等. 本体演化的波及效应计算优化研究 [J]. 计算机应用研究, 2020, 37 (8): 2366-2370. (Chen Jing, Liu Zhao, Gu Jinguang, et al. Improved method for ripple effect calculation in ontology evolution [J]. Application Research of Computers, 2020, 37 (8): 2366-2370. )

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  • Application Research of Computers Monthly Journal
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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.

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