支持注释系统中的组协作

Q3 Computer Science
Danilo Avola , Paolo Bottoni , Amjad Hawash
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引用次数: 1

摘要

注释已成为与数字文档交互时的一种常见做法,允许在不损坏现有数据的情况下向现有数据添加信息。通常在企业协作系统中强制将注释的可见性限制在用户组,这将使注释成为具有共同兴趣的用户之间进行集中协作的工具。然而,在基于Web的开放环境中提供不同级别的可见性是具有挑战性的,因为需要相互冲突:保持注释过程的简单性,确保用户有足够的隐私和信心,并允许用户过滤掉不相关的信息。我们描述了一套用于组形成和管理的服务,这些服务集成到现有的MADCOW注释系统中。我们还提出了群的形式化特征,引入了复杂函数所基于的原子运算。本文讨论了不同的场景和应用,并通过实验测试结果论证了所提出的集成的可用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Supporting group collaboration in an annotation system

Annotation has become a common practice when interacting with digital documents, allowing the addition of information to existing data without corrupting them. Restricting visibility of annotations to groups of users, as usually enforced in enterprise collaboration systems, turns annotations into a tool for focused collaboration among users with common interests. However, providing different levels of visibility in an open Web-based environment is challenging, due to conflicting needs: to keep the annotation process simple, to ensure adequate levels of privacy and confidence to users, and to allow users to filter out irrelevant information. We describe a suite of services for group formation and management, integrated into the existing MADCOW annotation system. We also propose a formal characterisation of groups, introducing atomic operations on which complex functionalities are based. The paper discusses different scenarios and applications and argues for the usability of the proposed integration by presenting the results of experimental tests.

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来源期刊
Journal of Visual Languages and Computing
Journal of Visual Languages and Computing 工程技术-计算机:软件工程
CiteScore
1.62
自引率
0.00%
发文量
0
审稿时长
26.8 weeks
期刊介绍: The Journal of Visual Languages and Computing is a forum for researchers, practitioners, and developers to exchange ideas and results for the advancement of visual languages and its implication to the art of computing. The journal publishes research papers, state-of-the-art surveys, and review articles in all aspects of visual languages.
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