Organization of Work Situations and the Involved Documents in Complicated Documenting via Intuitive Triggers

Organization of Work Situations and the Involved Documents in Complicated Documenting via Intuitive Triggers
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DOI:
10.1109/icbda47563.2019.8987011
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发表时间:
2019-11
期刊:
2019 IEEE Conference on Big Data and Analytics (ICBDA)
影响因子:
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通讯作者:
K. Tanaka;H. Nakayama;R. Onuma;H. Kaminaga;Y. Miyadera;Shoichi Nakamura
K. Tanaka;H. Nakayama;R. Onuma;H. Kaminaga;Y. Miyadera;Shoichi Nakamura
中科院分区:
其他
文献类型:
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作者:
K. Tanaka;H. Nakayama;R. Onuma;H. Kaminaga;Y. Miyadera;Shoichi Nakamura

文献摘要

相似文献

进行复杂的文件编制工作的机会越来越多,也就是说,通过诸如浏览万维网和审查现有文件等任务来创建和编写文件。对于这样的工作,重要的是要熟练地管理交付物沿着其编辑过程,并利用它们为以后的工作。然而,由于文件编制工作通常是在很长一段时间内完成的,所涉及的文件一般变得多样化,数量庞大。这些功能使得管理文档变得困难。特别是,它是经常的情况下,用户希望找到和重用的文件,他/她在过去的工作中使用。然而,根据人类记忆和文件夹管理,很难回忆起过去的工作情况和所涉及的文件。在这项研究中,我们的目标是通过直观的线索来组织工作情况和所涉及的文件的方法。在本文中,我们描述了一个框架,支持复杂的文档工作。我们还描述了用于生成召回网络的方法。最后,我们描述了一个实验,使用实际的历史数据,并讨论了我们的方法的特点的基础上的结果。
Opportunities to conduct the complicated documenting work, that is, creating and elaborating documents through such tasks as exploring the Web and reviewing existing documents, have increased more and more. For such work, it is important to skillfully manage the deliverables along with their editing processes and utilize them for later work. However, the documents involved generally become diversified and enormous in number since documenting work is generally done over a long period of time. These features make managing documents difficult. In particular, it is often the case that a user wants to find and reuse documents that he/she used in past work. It is however difficult to recall past work situations and the documents involved on the basis of human memory and folder management. In this research, we aim at developing methods for organizing work situations and the documents involved via intuitive clues. In this paper, we describe a framework that supports complicated documenting work. We also describe methods for generating recall networks. Finally, we describe an experiment done using practical history data and discuss the characteristics of our methods based on the results.