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What Type of Domain Knowledge is Cited by Articles with High Interdisciplinary Degree?

机译:跨学科程度高的文章引用了哪种类型的域知识?

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Interdisciplinary studies require integration of principles, theories and practices from multiple disciplines. What type of domain knowledge will be applied more in such researches? Since scientific paradigms differ in fields, this paper takes computer science (CS) as a case and investigates utilization patterns of CS knowledge in articles from PLOS One with high interdisciplinary degree (IDD) by citation content analysis. Since scholars usually organize and indicate used knowledge in methodology, we study articles which cite CS articles in this section. After extracting citation content from citing articles, we identify the cited knowledge and analyse the type of cited knowledge. Experimental results show that: In the PLOS One articles which cited the CS knowledge, algorithm is the most used knowledge type and the most used object is random forests. Our study can be applied to understand how articles with high IDD use the knowledge from other disciplines in the future.
机译:跨学科研究需要从多个学科中整合原则,理论和实践。这些研究中将更多地应用域名知识?由于科学范例在领域的不同之处,本文将计算机科学(CS)视为通过引文含量分析的高互学科(IDD)从PLOS中的文章中CS知识的利用模式。由于学者通常在方法中组织和指示使用的知识,我们研究了本节CS文章的文章。从引用物品中提取引文内容后,我们确定引用的知识并分析所引用的知识的类型。实验结果表明:在一个引用CS知识的PLO一篇文章中,算法是最常用的知识类型,最常用的对象是随机林。我们的研究可以应用于了解具有高IDD的文章如何利用未来其他学科的知识。

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