使用ResearchRabbit进行研究发现和可视化：图书馆中的人工智能用例

IF 1.6 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE

COLLNET Journal of Scientometrics and Information Management Pub Date : 2022-07-03 DOI:10.1080/09737766.2022.2106167

Ritu Sharma, Sarita Gulati, Amanpreet Kaur, A. Sinhababu, Prof. Rupak Chakravarty

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引用次数: 3

摘要

任何研究中最具挑战性的任务之一是文献综述，在文献综述中，研究人员不断在不同的搜索和浏览模式之间切换。研究人员可能会通过关键词搜索找到和探索一些相关论文，或者在维基百科或会议上偶然发现一些所需论文，从而查看该论文的参考文献或引文，这再次导致更多的引文挖掘，在人们知道它可能会丢失之前。这通常感觉像是掉进了兔子洞，因为每一篇相关论文都为探索和挖掘无尽的可能性开辟了更多的途径。Research Rabbit是一种新的文献映射工具，有助于以无缝的方式进行所有这些复杂的文献综述，并提供快速可视化，以帮助探索文献“森林”？

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Research discovery and visualization using ResearchRabbit: A use case of AI in libraries

One of the most challenging tasks of any research is literature review in which a researcher is constantly switching between different modes of searching and browsing papers. The researchers may find and explore some relevant papers via keyword searching or stumble upon some required papers via Wikipedia or at a conference, which leads to looking at the references or citations of that paper, which again leads to more citation mining and before one knows it might be lost. It often feels like tumbling down the rabbit hole, as each relevant paper that is found opens up yet more avenues to explore and dig out the endless possibilities. Research Rabbit is a new literature mapping tool that helps with doing all this complex literature review in a seamless way and provide quick visualizations to help in exploring the literature “forest”?

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来源期刊

COLLNET Journal of Scientometrics and Information Management INFORMATION SCIENCE & LIBRARY SCIENCE-

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