OntoReST: A RST-based Ontology for Enhancing Documents Content Quality in Collaborative Writing
Autor(a) principal: | |
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Data de Publicação: | 2009 |
Outros Autores: | , , , |
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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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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1799874740887748608 |