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System Development & Application
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 9
2781-2786

Material entity retrieval method introducing similarity measure based on meta-path

Huang Huaze1
Hu Zixuan1
You Jinguo1,2
Huang Xingrui1
Tao Jingmei3
Yi Jianhong3
1. Faculty of Information Engineering & Automation, Kunming University of Science & Technology, Kunming 650500, China
2. Yunnan Key Laboratory of Artificial Intelligence, Kunming 650500, China
3. Faculty of Material Science & Engineering, Kunming University of Science & Technology, Kunming 650093, China
DOI: 10.19734/j.issn.1001-3695.2023.12.0630

Abstract

In recent years, with the accumulation of material data and the popularization of the "material genome project", it has become an important issue to retrieve and obtain the corresponding information quickly and accurately in the face of a large amount of material data that needs to be processed and managed. However, traditional retrieval methods can only query information related to a certain material, and there are problems such as incomplete retrieval results and inability to handle complex semantic relations, making it difficult to obtain materials with a high degree of similarity. In order to find materials similar to a certain material quickly and accurately, this paper proposed a weighted material similarity calculation model WM-PathSim that could measure different nodes. Firstly, it learned the embedding representation of material nodes by using metapath2vec. Secondly, it introduced the TFIDF-CBOW model to learn the existence probability of material path instances, and then calculated the weights of different meta-paths. Finally, it obtained the weighted summation of eligible meta-paths as the final similarity measure to predict the similarity between different materials. The results on the real datasets show that the proposed model has a greater performance improvement compared with the baseline method in different path relations, and its AUC and precision metrics are improved by 0.37~5.02 percentage points and 1~7.33 percentage points, respectively. It indicates that this model is more accurate and effective in obtaining the degree of similarity between materials, and thus enabling the acquisition of similar materials.

Foundation Support

国家自然科学基金资助项目(62062046)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.12.0630
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 9
Section: System Development & Application
Pages: 2781-2786
Serial Number: 1001-3695(2024)09-030-2781-06

Publish History

[2024-05-10] Accepted Paper
[2024-09-05] Printed Article

Cite This Article

黄华泽, 胡紫璇, 游进国, 等. 一种引入元路径相似性度量的材料实体检索方法 [J]. 计算机应用研究, 2024, 41 (9): 2781-2786. (Huang Huaze, Hu Zixuan, You Jinguo, et al. Material entity retrieval method introducing similarity measure based on meta-path [J]. Application Research of Computers, 2024, 41 (9): 2781-2786. )

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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