Domain vocabulary alignment using AML and LogMap
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por eng |
Título da fonte: | Revista Digital de Biblioteconomia e Ciência da Informação |
Texto Completo: | https://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/article/view/8668437 |
Resumo: | Introduction: In the context of the Semantic Web, interoperability among heterogeneous ontologies is a challenge due to several factors, among which semantic ambiguity and redundancy stand out. In order to overcome such challenges, systems and algorithms are adopted. In this study, it is understood that controlled vocabularies are a particular form of ontologies. Objective: to obtain a vocabulary resulting from the alignment and merging of the vocabularies Scientific Domains and Scientific Areas of FCT, EuroSciVoc and UNESCO nomenclature for fields of Science&Technology, in the domain of Computer Science, to be used within the IViSSEM project. Methodology: literature review on systems/algorithms for ontology alignment, using the PRISMA methodology; alignment of the three vocabularies; and vocabulary validation through Delphi study. Results: we proceeded to analyse the 25 ontology alignment systems and variants that participated in at least one track of the competition between 2018-2019. Of these systems were selected Agreement Maker Light and LogMap to perform the alignment of the three vocabularies, making a cut for the area of Computer Science. Conclusion: The vocabulary obtained from the Agreement Maker Light presented a better performance. At the end, a vocabulary with 98 terms was obtained in the Computer Science domain to be adopted by the IViSSEM project. The resulting alignment between the vocabulary used at national level by FCT (Portugal) with one used by the European Union (EuroSciVoc) and another one from the domain of Science&Technology (UNESCO), establishing fruitful relationships for other universities and projects, as well as for FCT itself. |
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Domain vocabulary alignment using AML and LogMapAlinhamento de vocabulário de domínio utilizando os sistemas AML e LogMapAlinhamento de ontologiasVocabulários controladosVocabulários de domínioOntology Alignment Evaluation IniciativeWeb SemânticaControlled vocabularyDomain vocabularyOntology alignmentOntology Alignment Evaluation InitiativeSemantic WebIntroduction: In the context of the Semantic Web, interoperability among heterogeneous ontologies is a challenge due to several factors, among which semantic ambiguity and redundancy stand out. In order to overcome such challenges, systems and algorithms are adopted. In this study, it is understood that controlled vocabularies are a particular form of ontologies. Objective: to obtain a vocabulary resulting from the alignment and merging of the vocabularies Scientific Domains and Scientific Areas of FCT, EuroSciVoc and UNESCO nomenclature for fields of Science&Technology, in the domain of Computer Science, to be used within the IViSSEM project. Methodology: literature review on systems/algorithms for ontology alignment, using the PRISMA methodology; alignment of the three vocabularies; and vocabulary validation through Delphi study. Results: we proceeded to analyse the 25 ontology alignment systems and variants that participated in at least one track of the competition between 2018-2019. Of these systems were selected Agreement Maker Light and LogMap to perform the alignment of the three vocabularies, making a cut for the area of Computer Science. Conclusion: The vocabulary obtained from the Agreement Maker Light presented a better performance. At the end, a vocabulary with 98 terms was obtained in the Computer Science domain to be adopted by the IViSSEM project. The resulting alignment between the vocabulary used at national level by FCT (Portugal) with one used by the European Union (EuroSciVoc) and another one from the domain of Science&Technology (UNESCO), establishing fruitful relationships for other universities and projects, as well as for FCT itself.Introdução: No contexto da Web Semântica, a interoperabilidade entre ontologias heterogêneas é um desafio devido a diversos fatores entre os quais se destacam a ambiguidade e a redundância semântica. Para superar tais desafios, adota-se sistemas/algoritmos para alinhamento de ontologias. Neste estudo, entende-se que vocabulários controlados são uma forma particular de ontologias. Objetivo: obter um vocabulário resultante do alinhamento e fusão dos vocabulários Domínios Científicos e Áreas Científicas da FCT, EuroSciVoc e UNESCO nomenclature for fields of Science and Technology, no domínio Ciências da Computação, para ser usado no âmbito do projeto IViSSEM. Metodologia: revisão da literatura sobre sistemas/algoritmos para alinhamento de ontologias, utilizando a metodologia PRISMA; alinhamento dos três vocabulários; e validação do vocabulário por meio do estudo Delphi. Resultados: procedeu-se à análise dos 25 sistemas de alinhamento de ontologias e variantes que participaram de pelo menos uma track da competição entre 2018 e 2019. Destes sistemas foram selecionados Agreement Maker Light e LogMap para realizar o alinhamento dos três vocabulários, fazendo um recorte para a área da Ciência da Computação. Conclusão: O vocabulário obtido a partir do Agreement Maker Light apresentou uma melhor performance. Ao final foi obtido o vocabulário, com 98 termos, no domínio da Ciência da Computação a ser adotado pelo projeto IViSSEM. O alinhamento resultante entre o vocabulário utilizado a nível nacional pela FCT (Portugal) com um empregue pela União Europeia (EuroSciVoc) e outro do domínio da Ciência&Tecnologia (UNESCO), estabelecendo relações proveitosas para outras universidades e projetos, bem como para a própria FCT. Universidade Estadual de Campinas2022-07-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionTextoinfo:eu-repo/semantics/otherapplication/pdfapplication/pdftext/htmltext/htmlhttps://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/article/view/866843710.20396/rdbci.v20i00.8668437RDBCI: Digital Journal of Library and Information Science; Vol. 20 (2022): Countinous Publication; e022015RDBCI: Revista Digital de Biblioteconomia e Ciência da Informação; v. 20 (2022): Publicação Contínua; e0220151678-765Xreponame:Revista Digital de Biblioteconomia e Ciência da Informaçãoinstname:Universidade Estadual de Campinas (UNICAMP)instacron:UNICAMPporenghttps://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/article/view/8668437/29602https://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/article/view/8668437/29673https://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/article/view/8668437/29674https://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/article/view/8668437/29829Portugal; ContemporaryPortugal; ContemporâneoCopyright (c) 2022 João Pedro Pereira Guimarães, Morgana Carneiro de Andrade, Ana Alice Baptistahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessGuimarães, João Pedro Pereira Andrade, Morgana Carneiro deBaptista, Ana Alice 2023-12-29T18:07:41Zoai:ojs.periodicos.sbu.unicamp.br:article/8668437Revistahttps://periodicos.sbu.unicamp.br/ojs/index.php/rdbciPUBhttps://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/oaippec@unicamp.br||gilbfe@unicamp.br|| rdbci@unicamp.br|| danif@unicamp.br1678-765X1678-765Xopendoar:2023-12-29T18:07:41Revista Digital de Biblioteconomia e Ciência da Informação - Universidade Estadual de Campinas (UNICAMP)false |
dc.title.none.fl_str_mv |
Domain vocabulary alignment using AML and LogMap Alinhamento de vocabulário de domínio utilizando os sistemas AML e LogMap |
title |
Domain vocabulary alignment using AML and LogMap |
spellingShingle |
Domain vocabulary alignment using AML and LogMap Guimarães, João Pedro Pereira Alinhamento de ontologias Vocabulários controlados Vocabulários de domínio Ontology Alignment Evaluation Iniciative Web Semântica Controlled vocabulary Domain vocabulary Ontology alignment Ontology Alignment Evaluation Initiative Semantic Web |
title_short |
Domain vocabulary alignment using AML and LogMap |
title_full |
Domain vocabulary alignment using AML and LogMap |
title_fullStr |
Domain vocabulary alignment using AML and LogMap |
title_full_unstemmed |
Domain vocabulary alignment using AML and LogMap |
title_sort |
Domain vocabulary alignment using AML and LogMap |
author |
Guimarães, João Pedro Pereira |
author_facet |
Guimarães, João Pedro Pereira Andrade, Morgana Carneiro de Baptista, Ana Alice |
author_role |
author |
author2 |
Andrade, Morgana Carneiro de Baptista, Ana Alice |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Guimarães, João Pedro Pereira Andrade, Morgana Carneiro de Baptista, Ana Alice |
dc.subject.por.fl_str_mv |
Alinhamento de ontologias Vocabulários controlados Vocabulários de domínio Ontology Alignment Evaluation Iniciative Web Semântica Controlled vocabulary Domain vocabulary Ontology alignment Ontology Alignment Evaluation Initiative Semantic Web |
topic |
Alinhamento de ontologias Vocabulários controlados Vocabulários de domínio Ontology Alignment Evaluation Iniciative Web Semântica Controlled vocabulary Domain vocabulary Ontology alignment Ontology Alignment Evaluation Initiative Semantic Web |
description |
Introduction: In the context of the Semantic Web, interoperability among heterogeneous ontologies is a challenge due to several factors, among which semantic ambiguity and redundancy stand out. In order to overcome such challenges, systems and algorithms are adopted. In this study, it is understood that controlled vocabularies are a particular form of ontologies. Objective: to obtain a vocabulary resulting from the alignment and merging of the vocabularies Scientific Domains and Scientific Areas of FCT, EuroSciVoc and UNESCO nomenclature for fields of Science&Technology, in the domain of Computer Science, to be used within the IViSSEM project. Methodology: literature review on systems/algorithms for ontology alignment, using the PRISMA methodology; alignment of the three vocabularies; and vocabulary validation through Delphi study. Results: we proceeded to analyse the 25 ontology alignment systems and variants that participated in at least one track of the competition between 2018-2019. Of these systems were selected Agreement Maker Light and LogMap to perform the alignment of the three vocabularies, making a cut for the area of Computer Science. Conclusion: The vocabulary obtained from the Agreement Maker Light presented a better performance. At the end, a vocabulary with 98 terms was obtained in the Computer Science domain to be adopted by the IViSSEM project. The resulting alignment between the vocabulary used at national level by FCT (Portugal) with one used by the European Union (EuroSciVoc) and another one from the domain of Science&Technology (UNESCO), establishing fruitful relationships for other universities and projects, as well as for FCT itself. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-07-20 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Texto info:eu-repo/semantics/other |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/article/view/8668437 10.20396/rdbci.v20i00.8668437 |
url |
https://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/article/view/8668437 |
identifier_str_mv |
10.20396/rdbci.v20i00.8668437 |
dc.language.iso.fl_str_mv |
por eng |
language |
por eng |
dc.relation.none.fl_str_mv |
https://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/article/view/8668437/29602 https://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/article/view/8668437/29673 https://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/article/view/8668437/29674 https://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/article/view/8668437/29829 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2022 João Pedro Pereira Guimarães, Morgana Carneiro de Andrade, Ana Alice Baptista https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2022 João Pedro Pereira Guimarães, Morgana Carneiro de Andrade, Ana Alice Baptista https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf text/html text/html |
dc.coverage.none.fl_str_mv |
Portugal; Contemporary Portugal; Contemporâneo |
dc.publisher.none.fl_str_mv |
Universidade Estadual de Campinas |
publisher.none.fl_str_mv |
Universidade Estadual de Campinas |
dc.source.none.fl_str_mv |
RDBCI: Digital Journal of Library and Information Science; Vol. 20 (2022): Countinous Publication; e022015 RDBCI: Revista Digital de Biblioteconomia e Ciência da Informação; v. 20 (2022): Publicação Contínua; e022015 1678-765X reponame:Revista Digital de Biblioteconomia e Ciência da Informação instname:Universidade Estadual de Campinas (UNICAMP) instacron:UNICAMP |
instname_str |
Universidade Estadual de Campinas (UNICAMP) |
instacron_str |
UNICAMP |
institution |
UNICAMP |
reponame_str |
Revista Digital de Biblioteconomia e Ciência da Informação |
collection |
Revista Digital de Biblioteconomia e Ciência da Informação |
repository.name.fl_str_mv |
Revista Digital de Biblioteconomia e Ciência da Informação - Universidade Estadual de Campinas (UNICAMP) |
repository.mail.fl_str_mv |
ppec@unicamp.br||gilbfe@unicamp.br|| rdbci@unicamp.br|| danif@unicamp.br |
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1788167557092474880 |