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Title: Dpaper: An Authoring Tool for Extractable Digital Papers
Author: Le, XiaoQiu(乐小虬)1; Chenyu Mao1,2; He, YuanBiao(何远标)1; Changlei Fu1; Xu, LiYuan(许丽媛)1
Source: Journal of Data and Information Science
Issued Date: 2016-03-17
Volume: 9, Issue:1, Pages:86-97
Keyword: Dpaper ; Extractable paper ; Digital object ; Authoring tool
Subject: 新闻学与传播学 ; 图书馆、情报与文献学
Indexed Type: 其他
DOI: 10.20309/jdis.201607
Corresponding Author: Xiaoqiu Le (E-mail: lexq@mail.las.ac.cn).
DOC Type: Research Papers
Abstract:
Purpose: To develop a structured, rich media digital paper authoring tool with an objectbased model that enables interactive, playable, and convertible functions.

Design/methodology/approach: We propose Dpaper to organize the content (text, data, rich media, etc.) of dissertation papers as XML and HTML5 files by means of digital objects and digital templates.

Findings: Dpaper provides a structured-paper editorial platform for the authors of PhDs to organize research materials and to generate various digital paper objects that are playable and reusable. The PhD papers are represented as Web pages and structured XML files, which are marked with semantic tags.

Research limitations: The proposed tool only provides access to a limited number of digital objects. For instance, the tool cannot create equations and graphs, and typesetting is not yet flexible compared to MS Word.

Practical implications: The Dpaper tool is designed to break through the patterns of unstructured content organization of traditional papers, and makes the paper accessible for not only reading but for exploitation as data, where the document can be extractable and reusable. As a result, Dpaper can make the digital publishing of dissertation texts more flexible and efficient, and their data more assessable.

Originality/value: The Dpaper tool solves the challenge of making a paper structured and object-based in the stage of authoring, and has practical values for semantic publishing.
English Abstract:
Purpose: To develop a structured, rich media digital paper authoring tool with an objectbased model that enables interactive, playable, and convertible functions.

Design/methodology/approach: We propose Dpaper to organize the content (text, data, rich media, etc.) of dissertation papers as XML and HTML5 files by means of digital objects and digital templates.

Findings: Dpaper provides a structured-paper editorial platform for the authors of PhDs to organize research materials and to generate various digital paper objects that are playable and reusable. The PhD papers are represented as Web pages and structured XML files, which are marked with semantic tags.

Research limitations: The proposed tool only provides access to a limited number of digital objects. For instance, the tool cannot create equations and graphs, and typesetting is not yet flexible compared to MS Word.

Practical implications: The Dpaper tool is designed to break through the patterns of unstructured content organization of traditional papers, and makes the paper accessible for not only reading but for exploitation as data, where the document can be extractable and reusable. As a result, Dpaper can make the digital publishing of dissertation texts more flexible and efficient, and their data more assessable.

Originality/value: The Dpaper tool solves the challenge of making a paper structured and object-based in the stage of authoring, and has practical values for semantic publishing.
Related URLs: 查看原文
Language: 英语
Citation statistics:
Content Type: 期刊论文
URI: http://ir.las.ac.cn/handle/12502/8480
Appears in Collections:Journal of Data and Information Science_Journal of Data and Information Science-2016 _期刊论文

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description.institution: 1.National Science Library, the Chinese Academy of Sciences, Beijing 100190, China
2.University of the Chinese Academy of Sciences, Beijing 100049, China

Recommended Citation:
Xiaoqiu Le,Chenyu Mao,Yuanbiao He,et al. Dpaper: An Authoring Tool for Extractable Digital Papers[J]. Journal of Data and Information Science,2016,9(1):86-97.
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