SemCW: Semantic collaborative writing using RST

Charbel Rahhal, H. Skaf-Molli, P. Molli, N. D. Silva
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引用次数: 4

Abstract

During collaborative writing each author works on a copy of the shared document. These copies are then merged to produce the final document. This asynchronous work is supported by several collaborative writing tools. While these tools are excellent at merging and detecting syntactic conflicts, they are not able to easily recognise semantic inconsistencies. This hinders the coherence of the document because while each individual copy might be well constructed, they may not be after the merge. To address this, we investigate the combination of the Rhetorical Structure Theory with Operational Transformation approach. In this paper, we define a data model, a set of operations to manipulate the RST structures and a set of transformation functions. A validity checker alerts the authors to areas in the text with possible semantic lapses in the merged documents.
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SemCW:使用RST的语义协作写作
在协作写作过程中,每个作者都在共享文档的副本上工作。然后将这些副本合并以产生最终文档。这种异步工作由几个协作编写工具支持。虽然这些工具在合并和检测语法冲突方面非常出色,但它们无法轻松识别语义不一致。这阻碍了文档的一致性,因为虽然每个单独的副本可能构造得很好,但合并后可能就没有了。为了解决这个问题,我们研究了修辞结构理论与操作转换方法的结合。在本文中,我们定义了一个数据模型、一组操作RST结构的操作和一组转换函数。有效性检查器提醒作者注意合并文档中可能存在语义错误的文本区域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Keynote speaker Keynote speaker SemCW: Semantic collaborative writing using RST Multicasting in groupware? Secure peer-to-peer networks for trusted collaboration
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