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Software Technology Research
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3736-3741

Research on expert code example oriented ontology construction and reasoning for Stack Overflow

Ruan Shuhe1
Zhong Linhui1
Gao Rongjin1
Zhu Yanxia1,2
Chen Haoran1
Lu Tengjun3
Xia Zihao1
1. School of Computer & Information Engineering, Jiangxi Normal University, Nanchang 330022, China
2. School of Information Engineering, Jiangxi University of Technology, Nanchang 330098, China
3. School of VR Modern Industry, Jiangxi University of Finance & Economics, Nanchang 330032, China

Abstract

Stack Overflow is an IT technology Q&A website in the computer field. In order to obtain expert examples in the Q&A website and apply them to API mining, this paper firstly used the Scrapy crawler framework technology to obtain structured data in the Stack Overflow Q&A website and store it in the relational model. Then it used the ontology modeling tool Protégé to build the ontology, and then used the D2RQ tool to achieve the knowledge extraction of the relational database, and transformed the relational model into the ontology model in the form of triplets. At the same time, this article proposed a sub ontology extraction algorithm for expert examples, and used it to extract sub ontologies related to expert example reasoning from the original ontology, and proposed several expert example reasoning rules that could derive expert examples. The experimental results demonstrate that extracting expert examples from the Stack Overflow ontology model can improve the accuracy of API call sequence mining.

Foundation Support

国家自然科学基金资助项目(62062039,61966017)
江西省自然科学基金资助项目(20212BAB202017,20224BAB202013,20212BAB202018)
校教改课题资助项目(JXSDJG2044)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.03.0145
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 12
Section: Software Technology Research
Pages: 3736-3741
Serial Number: 1001-3695(2023)12-033-3736-06

Publish History

[2023-06-20] Accepted Paper
[2023-12-05] Printed Article

Cite This Article

阮书鹤, 钟林辉, 高荣锦, 等. 面向专家示例的Stack Overflow本体构造和推理研究 [J]. 计算机应用研究, 2023, 40 (12): 3736-3741. (Ruan Shuhe, Zhong Linhui, Gao Rongjin, et al. Research on expert code example oriented ontology construction and reasoning for Stack Overflow [J]. Application Research of Computers, 2023, 40 (12): 3736-3741. )

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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