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Visualizing and mapping the intellectual structure of information retrieval

机译:可视化和映射信息检索的智能结构

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摘要

Information retrieval is a long established subfield of library and information science. Since its inception in the early- to mid -1950s, it has grown as a result, in part, of well-regarded retrieval system evaluation exercises/campaigns, the proliferation of Web search engines, and the expansion of digital libraries. Although researchers have examined the intellectual structure and nature of the general field of library and information science, the same cannot be said about the subfield of information retrieval. We address that in this work by sketching the information retrieval intellectual landscape through visualizations of citation behaviors. Citation data for 10 years (2000-2009) were retrieved from the Web of Science and analyzed using existing visualization techniques. Our results address information retrieval's co-authorship network, highly productive authors, highly cited journals and papers, author-assigned keywords, active institutions, and the import of ideas from other disciplines.
机译:信息检索是图书馆和信息科学历史悠久的子领域。自1950年代初至中期开始创建以来,它的发展在一定程度上是由于备受好评的检索系统评估活动/活动,Web搜索引擎的普及以及数字图书馆的扩展。尽管研究人员已经研究了图书馆和信息科学领域的知识结构和性质,但关于信息检索的子领域却不能说同样的话。我们通过引用行为的可视化来勾勒信息检索的知识领域,从而解决了这一问题。从Web of Science检索10年(2000-2009年)的引文数据,并使用现有的可视化技术进行分析。我们的研究结果涉及信息检索的共同作者网络,高产的作者,高引用的期刊和论文,作者指定的关键字,活跃的机构以及从其他学科中引入的思想。

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