Skip to Main content Skip to Navigation
Journal articles

OntoRest: A RST-based Ontology for Enhancing Documents Content Quality in Collaborative Writing

Hala Naja-Jazzar 1 Nishadi Desilva 2 Hala Skaf-Molli 3 Charbel Rahhal 3 Pascal Molli 3
1 Faculté des Sciences
2 ECS Department - University of Southampton
3 ECOO - Environment for cooperation
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Collaborative writing is the process by which more than one author contributes to the content of a document. Although, multi-synchronous collaboration is very efficient in reducing task completion time, it is well known for producing documents of poor-quality content. Most existing collaborative writing environments do not really check the logical arrangement of documents portions (i.e. sentences, paragraphs,...). They rely on authors to verify the content quality of the document. This imposes a severe overhead on the authors to achieve efficient collaboration. To address this issue, we use semantic web technologies and a discourse theory called Rhetorical Structure Theory (RST) with the aim to reduce the overhead of consistency checking. We develop OntoReST, an ontology based on RST that helps detect incoherent texts automatically. OntoReST also provides authors with valuable information about the semantic structure of texts which contributes towards enhancing documents content quality.
Keywords : Collaborative writing Ontology Document content quality Semantic web
Document type :
Journal articles
Complete list of metadata
https://hal.inria.fr/inria-00432556
Contributor : Charbel Rahhal Connect in order to contact the contributor
Submitted on : Monday, November 16, 2009 - 4:13:00 PM
Last modification on : Friday, February 4, 2022 - 3:34:54 AM

Identifiers

  • HAL Id : inria-00432556, version 1

Collections

CNRS | INRIA | LORIA | UNIV-LORRAINE | INRIA2

Citation

Hala Naja-Jazzar, Nishadi Desilva, Hala Skaf-Molli, Charbel Rahhal, Pascal Molli. OntoRest: A RST-based Ontology for Enhancing Documents Content Quality in Collaborative Writing. INFOCOMP Journal of Computer Science, Federal University of Lavras, 2009, 8 (3), pp.1-10. ⟨inria-00432556⟩

Export

BibTeX TEI DC DCterms EndNote Datacite

Share

Metrics

Record views

71

 

Contact                    Legal Notice                    Personal Data