SemCW: Semantic Collaborative Writing using RST
SemCW: Semantic Collaborative Writing using RST
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.
Rahhal, Charbel
cf5768ad-b2f7-4a68-a45e-3f656195c891
Skaf-Molli, Hala
0596dbf3-8479-41d2-a2f9-3b63fc28f9f5
Molli, Pascal
60fe999b-b47e-466e-b10c-fe1a75954765
De Silva, Nishadi
d83d7442-c366-4c5b-9920-baa7a076478f
12 November 2007
Rahhal, Charbel
cf5768ad-b2f7-4a68-a45e-3f656195c891
Skaf-Molli, Hala
0596dbf3-8479-41d2-a2f9-3b63fc28f9f5
Molli, Pascal
60fe999b-b47e-466e-b10c-fe1a75954765
De Silva, Nishadi
d83d7442-c366-4c5b-9920-baa7a076478f
Rahhal, Charbel, Skaf-Molli, Hala, Molli, Pascal and De Silva, Nishadi
(2007)
SemCW: Semantic Collaborative Writing using RST.
The 3rd International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2007), New York, United States.
Record type:
Conference or Workshop Item
(Paper)
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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Published date: 12 November 2007
Venue - Dates:
The 3rd International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2007), New York, United States, 2007-11-12
Organisations:
Electronics & Computer Science
Identifiers
Local EPrints ID: 266622
URI: http://eprints.soton.ac.uk/id/eprint/266622
PURE UUID: 6fe92bab-8f61-45a3-8a6e-2877d3e92342
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Date deposited: 03 Sep 2008 10:32
Last modified: 14 Mar 2024 08:31
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Contributors
Author:
Charbel Rahhal
Author:
Hala Skaf-Molli
Author:
Pascal Molli
Author:
Nishadi De Silva
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