Computer Aided Writing
暫譯: 電腦輔助寫作
Klahold, André, Fathi, Madjid
- 出版商: Springer
- 出版日期: 2020-10-23
- 售價: $6,140
- 貴賓價: 9.5 折 $5,833
- 語言: 英文
- 頁數: 169
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3030274411
- ISBN-13: 9783030274412
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商品描述
This book deals with "Computer Aided Writing", CAW for short. The contents of that is a sector of Knowledge based technics and Knowledge Management. The role of Knowledge Management in social media, education and Industry 4.0 is out of question. More important is the expectation of combining Knowledge Management and Cognitive Technology, which needs more and more new innovations in this field to face recent problems in social and technological areas.
The book is intended to provide an overview of the state of research in this field, show the extent to which computer assistance in writing is already being used and present current research contributions.
After a brief introduction into the history of writing and the tools that were created, the current developments are examined on the basis of a formal writing model. Tools such as word processing and content management systems will be discussed in detail. The special form of writing, "journalism", is used to examine the effects of Computer Aided Writing. We dedicate a separate chapter to the topic of research, since it is of essential importance in the writing process. With Knowledge Discovery from Text (KDT) and recommendation systems we enter the field of Knowledge Management in the context of Computer Aided Writing. Finally, we will look at methods for automated text generation before giving a final outlook on future developments.
商品描述(中文翻譯)
這本書探討「電腦輔助寫作」(Computer Aided Writing,簡稱 CAW)。其內容屬於知識基礎技術和知識管理的一個領域。知識管理在社交媒體、教育和工業 4.0 中的角色毋庸置疑。更重要的是,期望將知識管理與認知技術結合,這需要在這個領域中不斷創新,以應對社會和技術領域的近期問題。
本書旨在提供該領域研究現狀的概述,展示電腦輔助寫作的應用程度,並呈現當前的研究貢獻。
在簡要介紹寫作歷史及所創造的工具後,將基於正式的寫作模型檢視當前的發展。將詳細討論文字處理和內容管理系統等工具。特別的寫作形式「新聞學」將用來檢視電腦輔助寫作的影響。我們專門 dedicates 一章來探討研究主題,因為它在寫作過程中至關重要。透過文本中的知識發現(Knowledge Discovery from Text,簡稱 KDT)和推薦系統,我們進入電腦輔助寫作的知識管理領域。最後,我們將探討自動文本生成的方法,並對未來的發展進行總結展望。