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

Detalhes bibliográficos
Autor(a) principal: Naja-Jazzar, Hala
Data de Publicação: 2009
Outros Autores: de Silva, Nishadi, Skaf-Molli, Hala, Rahhal, Charbel, Molli, Pascal
Tipo de documento: Artigo
Idioma: eng
Título da fonte: INFOCOMP: Jornal de Ciência da Computação
Texto Completo: https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/265
Resumo: 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
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spelling OntoReST: A RST-based Ontology for Enhancing Documents Content Quality in Collaborative WritingCollaborative writingOntologyDocument content qualitySemantic webCollaborative 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 qualityEditora da UFLA2009-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://infocomp.dcc.ufla.br/index.php/infocomp/article/view/265INFOCOMP Journal of Computer Science; Vol. 8 No. 3 (2009): September, 2009; 1-101982-33631807-4545reponame:INFOCOMP: Jornal de Ciência da Computaçãoinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://infocomp.dcc.ufla.br/index.php/infocomp/article/view/265/250Copyright (c) 2016 INFOCOMP Journal of Computer Scienceinfo:eu-repo/semantics/openAccessNaja-Jazzar, Halade Silva, NishadiSkaf-Molli, HalaRahhal, CharbelMolli, Pascal2015-07-22T18:07:56Zoai:infocomp.dcc.ufla.br:article/265Revistahttps://infocomp.dcc.ufla.br/index.php/infocompPUBhttps://infocomp.dcc.ufla.br/index.php/infocomp/oaiinfocomp@dcc.ufla.br||apfreire@dcc.ufla.br1982-33631807-4545opendoar:2024-05-21T19:54:28.386394INFOCOMP: Jornal de Ciência da Computação - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv OntoReST: A RST-based Ontology for Enhancing Documents Content Quality in Collaborative Writing
title OntoReST: A RST-based Ontology for Enhancing Documents Content Quality in Collaborative Writing
spellingShingle OntoReST: A RST-based Ontology for Enhancing Documents Content Quality in Collaborative Writing
Naja-Jazzar, Hala
Collaborative writing
Ontology
Document content quality
Semantic web
title_short OntoReST: A RST-based Ontology for Enhancing Documents Content Quality in Collaborative Writing
title_full OntoReST: A RST-based Ontology for Enhancing Documents Content Quality in Collaborative Writing
title_fullStr OntoReST: A RST-based Ontology for Enhancing Documents Content Quality in Collaborative Writing
title_full_unstemmed OntoReST: A RST-based Ontology for Enhancing Documents Content Quality in Collaborative Writing
title_sort OntoReST: A RST-based Ontology for Enhancing Documents Content Quality in Collaborative Writing
author Naja-Jazzar, Hala
author_facet Naja-Jazzar, Hala
de Silva, Nishadi
Skaf-Molli, Hala
Rahhal, Charbel
Molli, Pascal
author_role author
author2 de Silva, Nishadi
Skaf-Molli, Hala
Rahhal, Charbel
Molli, Pascal
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Naja-Jazzar, Hala
de Silva, Nishadi
Skaf-Molli, Hala
Rahhal, Charbel
Molli, Pascal
dc.subject.por.fl_str_mv Collaborative writing
Ontology
Document content quality
Semantic web
topic Collaborative writing
Ontology
Document content quality
Semantic web
description 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
publishDate 2009
dc.date.none.fl_str_mv 2009-09-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/265
url https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/265
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/265/250
dc.rights.driver.fl_str_mv Copyright (c) 2016 INFOCOMP Journal of Computer Science
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2016 INFOCOMP Journal of Computer Science
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Editora da UFLA
publisher.none.fl_str_mv Editora da UFLA
dc.source.none.fl_str_mv INFOCOMP Journal of Computer Science; Vol. 8 No. 3 (2009): September, 2009; 1-10
1982-3363
1807-4545
reponame:INFOCOMP: Jornal de Ciência da Computação
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str INFOCOMP: Jornal de Ciência da Computação
collection INFOCOMP: Jornal de Ciência da Computação
repository.name.fl_str_mv INFOCOMP: Jornal de Ciência da Computação - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv infocomp@dcc.ufla.br||apfreire@dcc.ufla.br
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