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Towards the development of user tools for knowledge acquisition in digital document analysis

机译:致力于开发用于数字文档分析中知识获取的用户工具

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Handwritten documents provide a rich source of data and, with the growth in the availability of digitised documents, it becomes increasingly important to improve our ability to analyse and extract “knowledge” from such sources. This paper describes an approach to the provision of tools which can extract information about the writer of handwritten documents, especially those which were written in earlier times and which constitute key elements in our heritage and culture. We show how the constraints inherent in such documents influence our analytical approach, and we also show how developing appropriate “knowledge extraction” techniques can also be essential in other, more general, important application scenarios. Citation Fairhurst, M. & Erbilek, M. (2014). Towards the development of user tools for knowledge acquisition in digital document analysis. Journal of e-Learning and Knowledge Society, 10 (2),. Italian e-Learning Association. ? 2014 SIEL.
机译:手写文档提供了丰富的数据来源,并且随着数字化文档可用性的提高,提高我们分析和提取此类来源的“知识”的能力变得越来越重要。本文介绍了一种提供工具的方法,该工具可以提取有关手写文档的作者的信息,尤其是那些在较早时期编写的文档,这些文档构成了我们遗产和文化的关键要素。我们展示了此类文档中固有的约束如何影响我们的分析方法,并且还展示了开发适当的“知识提取”技术在其他更通用,重要的应用场景中也必不可少。引用文献Fairhurst,M.&Erbilek,M.(2014)。致力于开发用于在数字文档分析中获取知识的用户工具。电子学习与知识社会杂志,10(2),。意大利电子学习协会。 ? 2014 SIEL。

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