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26 June 2023 Research on construction and application of stack overflow Q and A website ontology
ShuHe Ruan, QiaoQiao Qu, LinHui Zhong, TengJun Lu, ChaoYi Yang, YanXia Zhu
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Proceedings Volume 12714, International Conference on Computer Network Security and Software Engineering (CNSSE 2023); 127140W (2023) https://doi.org/10.1117/12.2683195
Event: Third International Conference on Computer Network Security and Software Engineering (CNSSE 2023), 2023, Sanya, China
Abstract
Stack Overflow is an IT technology question and answer website in the computer field. In order to realize the sharing and utilization of knowledge in the question-and-answer website, this paper first uses the Scrapy crawler framework technology to obtain the structural data in the Stack Overflow question and answer website and stores them in the relational model. Then it uses the ontology modeling tool Protégé to build an ontology, and then use the D2RQ tool to achieve the knowledge extraction of the relational database and convert the relational schema into a triplet ontology model. In this paper, we find expert examples from the ontology model by rule inference Experiments show that expert examples extracted from Stack Overflow ontology model can improve the accuracy of API call sequence mining.
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ShuHe Ruan, QiaoQiao Qu, LinHui Zhong, TengJun Lu, ChaoYi Yang, and YanXia Zhu "Research on construction and application of stack overflow Q and A website ontology", Proc. SPIE 12714, International Conference on Computer Network Security and Software Engineering (CNSSE 2023), 127140W (26 June 2023); https://doi.org/10.1117/12.2683195
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KEYWORDS
Mining
Data modeling
Data acquisition
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