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

Kenji Tanaka, Hiroki Nakayama, Ryo Onuma, Hiroaki Kaminaga, Youzou Miyadera, Shoichi Nakamura

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトル2019 IEEE Conference on Big Data and Analytics, ICBDA 2019
出版社Institute of Electrical and Electronics Engineers Inc.
ページ24-28
ページ数5
ISBN(電子版)9781728133089
DOI
出版ステータスPublished - 2019 11
イベント2019 IEEE Conference on Big Data and Analytics, ICBDA 2019 - Penang, Malaysia
継続期間: 2019 11 192019 11 21

出版物シリーズ

名前2019 IEEE Conference on Big Data and Analytics, ICBDA 2019

Conference

Conference2019 IEEE Conference on Big Data and Analytics, ICBDA 2019
CountryMalaysia
CityPenang
Period19/11/1919/11/21

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Decision Sciences (miscellaneous)

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