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Freeing up digital content with text mining: New research means new licenses.

机译:通过文本挖掘释放数字内容:新研究意味着新许可证。

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摘要

The method by which users have traditionally exploited digital resources such as Early English Books Online (EEBO) has been via keyword search. However, researchers are increasingly finding new ways to exploit entire corpora of digitized resources, treating the resource as a single entity to be analysed, rather than searching or sifting through the resource for individual parts. This article looks at the work of one research team at the University of Lancaster, exploring how they are using a corpus of seventeenth-century newsbooks to leverage open new areas of research. Using tools borrowed from linguistics and geography, the researchers can analyse the place names mentioned in the newsbooks and see which linguistic concepts (e.g. war, money) were associated with which geographical areas. Such work has implications not only for future research but also for the resource managers to negotiate and manage the licences related to such resources.
机译:用户传统上利用数字资源(例如,早期英语在线图书(EEBO))的方法是通过关键字搜索。但是,研究人员越来越多地寻找新方法来开发整个数字化资源库,将资源视为要分析的单个实体,而不是搜索或筛选单个部分的资源。本文着眼于兰开斯特大学的一个研究小组的工作,探讨他们如何利用17世纪新闻集的语料库来利用开放的新研究领域。使用从语言学和地理学借来的工具,研究人员可以分析新闻书中提到的地名,并查看哪些语言学概念(例如战争,金钱)与哪个地理区域相关联。这样的工作不仅对未来的研究有影响,而且对资源管理者谈判和管理与这些资源有关的许可证也有影响。

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